zitongyang
commited on
Commit
•
aff0303
1
Parent(s):
6417c1b
Upload folder using huggingface_hub
Browse files- checkpoint-526/config.json +29 -0
- checkpoint-526/generation_config.json +14 -0
- checkpoint-526/model-00001-of-00029.safetensors +3 -0
- checkpoint-526/model-00002-of-00029.safetensors +3 -0
- checkpoint-526/model-00003-of-00029.safetensors +3 -0
- checkpoint-526/model-00004-of-00029.safetensors +3 -0
- checkpoint-526/model-00005-of-00029.safetensors +3 -0
- checkpoint-526/model-00006-of-00029.safetensors +3 -0
- checkpoint-526/model-00007-of-00029.safetensors +3 -0
- checkpoint-526/model-00008-of-00029.safetensors +3 -0
- checkpoint-526/model-00009-of-00029.safetensors +3 -0
- checkpoint-526/model-00010-of-00029.safetensors +3 -0
- checkpoint-526/model-00011-of-00029.safetensors +3 -0
- checkpoint-526/model-00012-of-00029.safetensors +3 -0
- checkpoint-526/model-00013-of-00029.safetensors +3 -0
- checkpoint-526/model-00014-of-00029.safetensors +3 -0
- checkpoint-526/model-00015-of-00029.safetensors +3 -0
- checkpoint-526/model-00016-of-00029.safetensors +3 -0
- checkpoint-526/model-00017-of-00029.safetensors +3 -0
- checkpoint-526/model-00018-of-00029.safetensors +3 -0
- checkpoint-526/model-00019-of-00029.safetensors +3 -0
- checkpoint-526/model-00020-of-00029.safetensors +3 -0
- checkpoint-526/model-00021-of-00029.safetensors +3 -0
- checkpoint-526/model-00022-of-00029.safetensors +3 -0
- checkpoint-526/model-00023-of-00029.safetensors +3 -0
- checkpoint-526/model-00024-of-00029.safetensors +3 -0
- checkpoint-526/model-00025-of-00029.safetensors +3 -0
- checkpoint-526/model-00026-of-00029.safetensors +3 -0
- checkpoint-526/model-00027-of-00029.safetensors +3 -0
- checkpoint-526/model-00028-of-00029.safetensors +3 -0
- checkpoint-526/model-00029-of-00029.safetensors +3 -0
- checkpoint-526/model.safetensors.index.json +778 -0
- checkpoint-526/trainer_state.json +3715 -0
- checkpoint-526/training_args.bin +3 -0
checkpoint-526/config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 5120,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 27648,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"max_window_layers": 70,
|
15 |
+
"model_type": "qwen2",
|
16 |
+
"num_attention_heads": 40,
|
17 |
+
"num_hidden_layers": 64,
|
18 |
+
"num_key_value_heads": 8,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_scaling": null,
|
21 |
+
"rope_theta": 1000000.0,
|
22 |
+
"sliding_window": null,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float32",
|
25 |
+
"transformers_version": "4.46.1",
|
26 |
+
"use_cache": true,
|
27 |
+
"use_sliding_window": false,
|
28 |
+
"vocab_size": 152064
|
29 |
+
}
|
checkpoint-526/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.46.1"
|
14 |
+
}
|
checkpoint-526/model-00001-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d64e21cda543d75107d9194030ca982fea41c94d8d0ff3a0d9728177f667a59
|
3 |
+
size 4498420872
|
checkpoint-526/model-00002-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa5b922a150134c361c4d17dde78af8923fb433cc87ce6c1a4414835a966fe82
|
3 |
+
size 4718804768
|
checkpoint-526/model-00003-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c9314092d6b41574be1888569687ec6b74be867d733274a85c1b31c506393805
|
3 |
+
size 4467075880
|
checkpoint-526/model-00004-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:723059ed3aaecb22f77503de6ca60d8f6a5e51edfd3fe9f4d20fd5036e4f86fe
|
3 |
+
size 4467075880
|
checkpoint-526/model-00005-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3b50bcf47963165025f4b41dc34ae095e31c2a6eb83e6af163d93a70d6000384
|
3 |
+
size 4718804760
|
checkpoint-526/model-00006-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a5d2b2a1d7ae6879eb88c50559f31fdcf35a723e354ed1e1a8e016aeecae1fa
|
3 |
+
size 4467075904
|
checkpoint-526/model-00007-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f0a0e6685a57febc12941bc863e3b37fb519b8292cbfe8c67302bd0048ee3be
|
3 |
+
size 4467075904
|
checkpoint-526/model-00008-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf4a3e01859f9eeab6bcc21f4a6786a2389ac47281477efafd23b6cb033d1465
|
3 |
+
size 4718804800
|
checkpoint-526/model-00009-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7ecfaa82d6407668253d6df502949c83c2659ad182801584a5116f9b978e89d
|
3 |
+
size 4467075904
|
checkpoint-526/model-00010-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85b0ea228937683436d852338436380fd74f94eed22077ce062dbf70490d263a
|
3 |
+
size 4467075904
|
checkpoint-526/model-00011-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad042682c62dcabd32c950eb6eda0b61d6a18714832896e16f4c22b4c56e234a
|
3 |
+
size 4718804800
|
checkpoint-526/model-00012-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:92aaf203ffe74d3ed4ffcbf3d8ea77e7172e77fdbd240709a3105704841da7e9
|
3 |
+
size 4467075904
|
checkpoint-526/model-00013-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ed271e0348c7125c517ef17c0bfa3d20b2ad289110bbd6c53b9178389a9f700
|
3 |
+
size 4467075904
|
checkpoint-526/model-00014-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7c425b251038ebe729e97c3897fa903ebed7dbf4700d1acfb5501431f63f481a
|
3 |
+
size 4718804800
|
checkpoint-526/model-00015-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4e7004c43c5348de0318ead0b1151b70dd686e4c616c2eff1ac0ee4beea21d3e
|
3 |
+
size 4467075904
|
checkpoint-526/model-00016-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d65096fde296dfb75915806244de63f576229e2ec394b6f027bc7048ed985ac4
|
3 |
+
size 4467075904
|
checkpoint-526/model-00017-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99757de2b12cb470f2eb0d92ae2de59df83c6d77bf8c3f0b848279350e235fd4
|
3 |
+
size 4718804800
|
checkpoint-526/model-00018-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c3a8fc668cb3464dc02424e22b3e492c00ad578dd512529f3fdef1d75491cd1
|
3 |
+
size 4467075904
|
checkpoint-526/model-00019-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e14cf9af9f01c9864cf412043b9aefa1989f556c71a97eaa10022ffb5afaade3
|
3 |
+
size 4467075904
|
checkpoint-526/model-00020-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dcaacddbadcd95bf47e8a6cf4535358e0b29e47a5ec5100316164f45e0916996
|
3 |
+
size 4718804800
|
checkpoint-526/model-00021-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47db5818914b807d14274b7bde0165f327aab808cd41dcb54db055a5d0ee01ae
|
3 |
+
size 4467075904
|
checkpoint-526/model-00022-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c0c926dbed1e2dc85c3aee24394f24d2675009dd86a944a143177f02541d299
|
3 |
+
size 4467075904
|
checkpoint-526/model-00023-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:988696afc7b311f9c2816e83fd99f9882ddb46cfd237f3fd49c518bda5a620dc
|
3 |
+
size 4718804800
|
checkpoint-526/model-00024-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac4d8c50c62092b2f0d1f21f2c2557d60f42c7a22d89e925c2d3cbf51d3327ef
|
3 |
+
size 4467075904
|
checkpoint-526/model-00025-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:328d52a54a35678b867a12f1bef4b04bf127e98292d8fce67d0ec7177c6c5cfd
|
3 |
+
size 4467075904
|
checkpoint-526/model-00026-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:558fc99700a3381053620b86650b620ef39395f6ec9f8725832dc1ff1db24876
|
3 |
+
size 4718804800
|
checkpoint-526/model-00027-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6e2234f8544ea04f4c33e40f1248aed7f957515890e96402047c0812d8530ce2
|
3 |
+
size 4467075904
|
checkpoint-526/model-00028-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9023379cf3b53d5234aad8aa06b988801660146ec75e2793c7459f4929169f2e
|
3 |
+
size 4467075904
|
checkpoint-526/model-00029-of-00029.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8906b2a5c1449bf0b5361ca2920fd44a7be87cfb3155c5b49f366b07d96582e9
|
3 |
+
size 3680563768
|
checkpoint-526/model.safetensors.index.json
ADDED
@@ -0,0 +1,778 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 131055505408
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00029-of-00029.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00029.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00002-of-00029.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00002-of-00029.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00029.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00029.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00002-of-00029.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00029.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00029.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00029.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00029.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00029.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00029.safetensors",
|
19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00029.safetensors",
|
20 |
+
"model.layers.1.input_layernorm.weight": "model-00002-of-00029.safetensors",
|
21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00002-of-00029.safetensors",
|
22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00002-of-00029.safetensors",
|
23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00002-of-00029.safetensors",
|
24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00002-of-00029.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00002-of-00029.safetensors",
|
26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00002-of-00029.safetensors",
|
27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00002-of-00029.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00002-of-00029.safetensors",
|
29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00002-of-00029.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00002-of-00029.safetensors",
|
31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00002-of-00029.safetensors",
|
32 |
+
"model.layers.10.input_layernorm.weight": "model-00006-of-00029.safetensors",
|
33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00006-of-00029.safetensors",
|
34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00006-of-00029.safetensors",
|
35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00006-of-00029.safetensors",
|
36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00006-of-00029.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00005-of-00029.safetensors",
|
38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00005-of-00029.safetensors",
|
39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00005-of-00029.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00005-of-00029.safetensors",
|
41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00005-of-00029.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00005-of-00029.safetensors",
|
43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00005-of-00029.safetensors",
|
44 |
+
"model.layers.11.input_layernorm.weight": "model-00006-of-00029.safetensors",
|
45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00006-of-00029.safetensors",
|
46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00006-of-00029.safetensors",
|
47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00006-of-00029.safetensors",
|
48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00006-of-00029.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00006-of-00029.safetensors",
|
50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00006-of-00029.safetensors",
|
51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00006-of-00029.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00006-of-00029.safetensors",
|
53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00006-of-00029.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00006-of-00029.safetensors",
|
55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00006-of-00029.safetensors",
|
56 |
+
"model.layers.12.input_layernorm.weight": "model-00007-of-00029.safetensors",
|
57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00007-of-00029.safetensors",
|
58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00006-of-00029.safetensors",
|
59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00007-of-00029.safetensors",
|
60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00007-of-00029.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00006-of-00029.safetensors",
|
62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00006-of-00029.safetensors",
|
63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00006-of-00029.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00006-of-00029.safetensors",
|
65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00006-of-00029.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00006-of-00029.safetensors",
|
67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00006-of-00029.safetensors",
|
68 |
+
"model.layers.13.input_layernorm.weight": "model-00007-of-00029.safetensors",
|
69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00007-of-00029.safetensors",
|
70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00007-of-00029.safetensors",
|
71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00007-of-00029.safetensors",
|
72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00007-of-00029.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00007-of-00029.safetensors",
|
74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00007-of-00029.safetensors",
|
75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00007-of-00029.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00007-of-00029.safetensors",
|
77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00007-of-00029.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00007-of-00029.safetensors",
|
79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00007-of-00029.safetensors",
|
80 |
+
"model.layers.14.input_layernorm.weight": "model-00008-of-00029.safetensors",
|
81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00008-of-00029.safetensors",
|
82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00007-of-00029.safetensors",
|
83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00007-of-00029.safetensors",
|
84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00008-of-00029.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00007-of-00029.safetensors",
|
86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00007-of-00029.safetensors",
|
87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00007-of-00029.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00007-of-00029.safetensors",
|
89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00007-of-00029.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00007-of-00029.safetensors",
|
91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00007-of-00029.safetensors",
|
92 |
+
"model.layers.15.input_layernorm.weight": "model-00008-of-00029.safetensors",
|
93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00008-of-00029.safetensors",
|
94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00008-of-00029.safetensors",
|
95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00008-of-00029.safetensors",
|
96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00008-of-00029.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00008-of-00029.safetensors",
|
98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00008-of-00029.safetensors",
|
99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00008-of-00029.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00008-of-00029.safetensors",
|
101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00008-of-00029.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00008-of-00029.safetensors",
|
103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00008-of-00029.safetensors",
|
104 |
+
"model.layers.16.input_layernorm.weight": "model-00008-of-00029.safetensors",
|
105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00008-of-00029.safetensors",
|
106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00008-of-00029.safetensors",
|
107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00008-of-00029.safetensors",
|
108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00008-of-00029.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00008-of-00029.safetensors",
|
110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00008-of-00029.safetensors",
|
111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00008-of-00029.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00008-of-00029.safetensors",
|
113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00008-of-00029.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00008-of-00029.safetensors",
|
115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00008-of-00029.safetensors",
|
116 |
+
"model.layers.17.input_layernorm.weight": "model-00009-of-00029.safetensors",
|
117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00009-of-00029.safetensors",
|
118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00009-of-00029.safetensors",
|
119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00009-of-00029.safetensors",
|
120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00009-of-00029.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00008-of-00029.safetensors",
|
122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00008-of-00029.safetensors",
|
123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00008-of-00029.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00008-of-00029.safetensors",
|
125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00008-of-00029.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00008-of-00029.safetensors",
|
127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00008-of-00029.safetensors",
|
128 |
+
"model.layers.18.input_layernorm.weight": "model-00009-of-00029.safetensors",
|
129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00009-of-00029.safetensors",
|
130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00009-of-00029.safetensors",
|
131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00009-of-00029.safetensors",
|
132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00009-of-00029.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00009-of-00029.safetensors",
|
134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00009-of-00029.safetensors",
|
135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00009-of-00029.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00009-of-00029.safetensors",
|
137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00009-of-00029.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00009-of-00029.safetensors",
|
139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00009-of-00029.safetensors",
|
140 |
+
"model.layers.19.input_layernorm.weight": "model-00010-of-00029.safetensors",
|
141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00010-of-00029.safetensors",
|
142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00009-of-00029.safetensors",
|
143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00010-of-00029.safetensors",
|
144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00010-of-00029.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00009-of-00029.safetensors",
|
146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00009-of-00029.safetensors",
|
147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00009-of-00029.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00009-of-00029.safetensors",
|
149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00009-of-00029.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00009-of-00029.safetensors",
|
151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00009-of-00029.safetensors",
|
152 |
+
"model.layers.2.input_layernorm.weight": "model-00002-of-00029.safetensors",
|
153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00002-of-00029.safetensors",
|
154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00002-of-00029.safetensors",
|
155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00002-of-00029.safetensors",
|
156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00002-of-00029.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00002-of-00029.safetensors",
|
158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00002-of-00029.safetensors",
|
159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00002-of-00029.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00002-of-00029.safetensors",
|
161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00002-of-00029.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00002-of-00029.safetensors",
|
163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00002-of-00029.safetensors",
|
164 |
+
"model.layers.20.input_layernorm.weight": "model-00010-of-00029.safetensors",
|
165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00010-of-00029.safetensors",
|
166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00010-of-00029.safetensors",
|
167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00010-of-00029.safetensors",
|
168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00010-of-00029.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00010-of-00029.safetensors",
|
170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00010-of-00029.safetensors",
|
171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00010-of-00029.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00010-of-00029.safetensors",
|
173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00010-of-00029.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00010-of-00029.safetensors",
|
175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00010-of-00029.safetensors",
|
176 |
+
"model.layers.21.input_layernorm.weight": "model-00011-of-00029.safetensors",
|
177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00011-of-00029.safetensors",
|
178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00010-of-00029.safetensors",
|
179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00010-of-00029.safetensors",
|
180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00011-of-00029.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00010-of-00029.safetensors",
|
182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00010-of-00029.safetensors",
|
183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00010-of-00029.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00010-of-00029.safetensors",
|
185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00010-of-00029.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00010-of-00029.safetensors",
|
187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00010-of-00029.safetensors",
|
188 |
+
"model.layers.22.input_layernorm.weight": "model-00011-of-00029.safetensors",
|
189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00011-of-00029.safetensors",
|
190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00011-of-00029.safetensors",
|
191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00011-of-00029.safetensors",
|
192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00011-of-00029.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00011-of-00029.safetensors",
|
194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00011-of-00029.safetensors",
|
195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00011-of-00029.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00011-of-00029.safetensors",
|
197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00011-of-00029.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00011-of-00029.safetensors",
|
199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00011-of-00029.safetensors",
|
200 |
+
"model.layers.23.input_layernorm.weight": "model-00011-of-00029.safetensors",
|
201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00011-of-00029.safetensors",
|
202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00011-of-00029.safetensors",
|
203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00011-of-00029.safetensors",
|
204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00011-of-00029.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00011-of-00029.safetensors",
|
206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00011-of-00029.safetensors",
|
207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00011-of-00029.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00011-of-00029.safetensors",
|
209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00011-of-00029.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00011-of-00029.safetensors",
|
211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00011-of-00029.safetensors",
|
212 |
+
"model.layers.24.input_layernorm.weight": "model-00012-of-00029.safetensors",
|
213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00012-of-00029.safetensors",
|
214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00012-of-00029.safetensors",
|
215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00012-of-00029.safetensors",
|
216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00012-of-00029.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00011-of-00029.safetensors",
|
218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00011-of-00029.safetensors",
|
219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00011-of-00029.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00011-of-00029.safetensors",
|
221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00011-of-00029.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00011-of-00029.safetensors",
|
223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00011-of-00029.safetensors",
|
224 |
+
"model.layers.25.input_layernorm.weight": "model-00012-of-00029.safetensors",
|
225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00012-of-00029.safetensors",
|
226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00012-of-00029.safetensors",
|
227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00012-of-00029.safetensors",
|
228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00012-of-00029.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00012-of-00029.safetensors",
|
230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00012-of-00029.safetensors",
|
231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00012-of-00029.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00012-of-00029.safetensors",
|
233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00012-of-00029.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00012-of-00029.safetensors",
|
235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00012-of-00029.safetensors",
|
236 |
+
"model.layers.26.input_layernorm.weight": "model-00013-of-00029.safetensors",
|
237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00013-of-00029.safetensors",
|
238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00012-of-00029.safetensors",
|
239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00013-of-00029.safetensors",
|
240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00013-of-00029.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00012-of-00029.safetensors",
|
242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00012-of-00029.safetensors",
|
243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00012-of-00029.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00012-of-00029.safetensors",
|
245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00012-of-00029.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00012-of-00029.safetensors",
|
247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00012-of-00029.safetensors",
|
248 |
+
"model.layers.27.input_layernorm.weight": "model-00013-of-00029.safetensors",
|
249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00013-of-00029.safetensors",
|
250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00013-of-00029.safetensors",
|
251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00013-of-00029.safetensors",
|
252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00013-of-00029.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00013-of-00029.safetensors",
|
254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00013-of-00029.safetensors",
|
255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00013-of-00029.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00013-of-00029.safetensors",
|
257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00013-of-00029.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00013-of-00029.safetensors",
|
259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00013-of-00029.safetensors",
|
260 |
+
"model.layers.28.input_layernorm.weight": "model-00014-of-00029.safetensors",
|
261 |
+
"model.layers.28.mlp.down_proj.weight": "model-00014-of-00029.safetensors",
|
262 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00013-of-00029.safetensors",
|
263 |
+
"model.layers.28.mlp.up_proj.weight": "model-00013-of-00029.safetensors",
|
264 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00014-of-00029.safetensors",
|
265 |
+
"model.layers.28.self_attn.k_proj.bias": "model-00013-of-00029.safetensors",
|
266 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00013-of-00029.safetensors",
|
267 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00013-of-00029.safetensors",
|
268 |
+
"model.layers.28.self_attn.q_proj.bias": "model-00013-of-00029.safetensors",
|
269 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00013-of-00029.safetensors",
|
270 |
+
"model.layers.28.self_attn.v_proj.bias": "model-00013-of-00029.safetensors",
|
271 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00013-of-00029.safetensors",
|
272 |
+
"model.layers.29.input_layernorm.weight": "model-00014-of-00029.safetensors",
|
273 |
+
"model.layers.29.mlp.down_proj.weight": "model-00014-of-00029.safetensors",
|
274 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00014-of-00029.safetensors",
|
275 |
+
"model.layers.29.mlp.up_proj.weight": "model-00014-of-00029.safetensors",
|
276 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00014-of-00029.safetensors",
|
277 |
+
"model.layers.29.self_attn.k_proj.bias": "model-00014-of-00029.safetensors",
|
278 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00014-of-00029.safetensors",
|
279 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00014-of-00029.safetensors",
|
280 |
+
"model.layers.29.self_attn.q_proj.bias": "model-00014-of-00029.safetensors",
|
281 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00014-of-00029.safetensors",
|
282 |
+
"model.layers.29.self_attn.v_proj.bias": "model-00014-of-00029.safetensors",
|
283 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00014-of-00029.safetensors",
|
284 |
+
"model.layers.3.input_layernorm.weight": "model-00003-of-00029.safetensors",
|
285 |
+
"model.layers.3.mlp.down_proj.weight": "model-00003-of-00029.safetensors",
|
286 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00003-of-00029.safetensors",
|
287 |
+
"model.layers.3.mlp.up_proj.weight": "model-00003-of-00029.safetensors",
|
288 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00003-of-00029.safetensors",
|
289 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00002-of-00029.safetensors",
|
290 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00029.safetensors",
|
291 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00029.safetensors",
|
292 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00002-of-00029.safetensors",
|
293 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00029.safetensors",
|
294 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00002-of-00029.safetensors",
|
295 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00029.safetensors",
|
296 |
+
"model.layers.30.input_layernorm.weight": "model-00014-of-00029.safetensors",
|
297 |
+
"model.layers.30.mlp.down_proj.weight": "model-00014-of-00029.safetensors",
|
298 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00014-of-00029.safetensors",
|
299 |
+
"model.layers.30.mlp.up_proj.weight": "model-00014-of-00029.safetensors",
|
300 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00014-of-00029.safetensors",
|
301 |
+
"model.layers.30.self_attn.k_proj.bias": "model-00014-of-00029.safetensors",
|
302 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00014-of-00029.safetensors",
|
303 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00014-of-00029.safetensors",
|
304 |
+
"model.layers.30.self_attn.q_proj.bias": "model-00014-of-00029.safetensors",
|
305 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00014-of-00029.safetensors",
|
306 |
+
"model.layers.30.self_attn.v_proj.bias": "model-00014-of-00029.safetensors",
|
307 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00014-of-00029.safetensors",
|
308 |
+
"model.layers.31.input_layernorm.weight": "model-00015-of-00029.safetensors",
|
309 |
+
"model.layers.31.mlp.down_proj.weight": "model-00015-of-00029.safetensors",
|
310 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00015-of-00029.safetensors",
|
311 |
+
"model.layers.31.mlp.up_proj.weight": "model-00015-of-00029.safetensors",
|
312 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00015-of-00029.safetensors",
|
313 |
+
"model.layers.31.self_attn.k_proj.bias": "model-00014-of-00029.safetensors",
|
314 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00014-of-00029.safetensors",
|
315 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00014-of-00029.safetensors",
|
316 |
+
"model.layers.31.self_attn.q_proj.bias": "model-00014-of-00029.safetensors",
|
317 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00014-of-00029.safetensors",
|
318 |
+
"model.layers.31.self_attn.v_proj.bias": "model-00014-of-00029.safetensors",
|
319 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00014-of-00029.safetensors",
|
320 |
+
"model.layers.32.input_layernorm.weight": "model-00015-of-00029.safetensors",
|
321 |
+
"model.layers.32.mlp.down_proj.weight": "model-00015-of-00029.safetensors",
|
322 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00015-of-00029.safetensors",
|
323 |
+
"model.layers.32.mlp.up_proj.weight": "model-00015-of-00029.safetensors",
|
324 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00015-of-00029.safetensors",
|
325 |
+
"model.layers.32.self_attn.k_proj.bias": "model-00015-of-00029.safetensors",
|
326 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00015-of-00029.safetensors",
|
327 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00015-of-00029.safetensors",
|
328 |
+
"model.layers.32.self_attn.q_proj.bias": "model-00015-of-00029.safetensors",
|
329 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00015-of-00029.safetensors",
|
330 |
+
"model.layers.32.self_attn.v_proj.bias": "model-00015-of-00029.safetensors",
|
331 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00015-of-00029.safetensors",
|
332 |
+
"model.layers.33.input_layernorm.weight": "model-00016-of-00029.safetensors",
|
333 |
+
"model.layers.33.mlp.down_proj.weight": "model-00016-of-00029.safetensors",
|
334 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00015-of-00029.safetensors",
|
335 |
+
"model.layers.33.mlp.up_proj.weight": "model-00016-of-00029.safetensors",
|
336 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00016-of-00029.safetensors",
|
337 |
+
"model.layers.33.self_attn.k_proj.bias": "model-00015-of-00029.safetensors",
|
338 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00015-of-00029.safetensors",
|
339 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00015-of-00029.safetensors",
|
340 |
+
"model.layers.33.self_attn.q_proj.bias": "model-00015-of-00029.safetensors",
|
341 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00015-of-00029.safetensors",
|
342 |
+
"model.layers.33.self_attn.v_proj.bias": "model-00015-of-00029.safetensors",
|
343 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00015-of-00029.safetensors",
|
344 |
+
"model.layers.34.input_layernorm.weight": "model-00016-of-00029.safetensors",
|
345 |
+
"model.layers.34.mlp.down_proj.weight": "model-00016-of-00029.safetensors",
|
346 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00016-of-00029.safetensors",
|
347 |
+
"model.layers.34.mlp.up_proj.weight": "model-00016-of-00029.safetensors",
|
348 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00016-of-00029.safetensors",
|
349 |
+
"model.layers.34.self_attn.k_proj.bias": "model-00016-of-00029.safetensors",
|
350 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00016-of-00029.safetensors",
|
351 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00016-of-00029.safetensors",
|
352 |
+
"model.layers.34.self_attn.q_proj.bias": "model-00016-of-00029.safetensors",
|
353 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00016-of-00029.safetensors",
|
354 |
+
"model.layers.34.self_attn.v_proj.bias": "model-00016-of-00029.safetensors",
|
355 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00016-of-00029.safetensors",
|
356 |
+
"model.layers.35.input_layernorm.weight": "model-00017-of-00029.safetensors",
|
357 |
+
"model.layers.35.mlp.down_proj.weight": "model-00017-of-00029.safetensors",
|
358 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00016-of-00029.safetensors",
|
359 |
+
"model.layers.35.mlp.up_proj.weight": "model-00016-of-00029.safetensors",
|
360 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00017-of-00029.safetensors",
|
361 |
+
"model.layers.35.self_attn.k_proj.bias": "model-00016-of-00029.safetensors",
|
362 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00016-of-00029.safetensors",
|
363 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00016-of-00029.safetensors",
|
364 |
+
"model.layers.35.self_attn.q_proj.bias": "model-00016-of-00029.safetensors",
|
365 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00016-of-00029.safetensors",
|
366 |
+
"model.layers.35.self_attn.v_proj.bias": "model-00016-of-00029.safetensors",
|
367 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00016-of-00029.safetensors",
|
368 |
+
"model.layers.36.input_layernorm.weight": "model-00017-of-00029.safetensors",
|
369 |
+
"model.layers.36.mlp.down_proj.weight": "model-00017-of-00029.safetensors",
|
370 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00017-of-00029.safetensors",
|
371 |
+
"model.layers.36.mlp.up_proj.weight": "model-00017-of-00029.safetensors",
|
372 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00017-of-00029.safetensors",
|
373 |
+
"model.layers.36.self_attn.k_proj.bias": "model-00017-of-00029.safetensors",
|
374 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00017-of-00029.safetensors",
|
375 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00017-of-00029.safetensors",
|
376 |
+
"model.layers.36.self_attn.q_proj.bias": "model-00017-of-00029.safetensors",
|
377 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00017-of-00029.safetensors",
|
378 |
+
"model.layers.36.self_attn.v_proj.bias": "model-00017-of-00029.safetensors",
|
379 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00017-of-00029.safetensors",
|
380 |
+
"model.layers.37.input_layernorm.weight": "model-00017-of-00029.safetensors",
|
381 |
+
"model.layers.37.mlp.down_proj.weight": "model-00017-of-00029.safetensors",
|
382 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00017-of-00029.safetensors",
|
383 |
+
"model.layers.37.mlp.up_proj.weight": "model-00017-of-00029.safetensors",
|
384 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00017-of-00029.safetensors",
|
385 |
+
"model.layers.37.self_attn.k_proj.bias": "model-00017-of-00029.safetensors",
|
386 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00017-of-00029.safetensors",
|
387 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00017-of-00029.safetensors",
|
388 |
+
"model.layers.37.self_attn.q_proj.bias": "model-00017-of-00029.safetensors",
|
389 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00017-of-00029.safetensors",
|
390 |
+
"model.layers.37.self_attn.v_proj.bias": "model-00017-of-00029.safetensors",
|
391 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00017-of-00029.safetensors",
|
392 |
+
"model.layers.38.input_layernorm.weight": "model-00018-of-00029.safetensors",
|
393 |
+
"model.layers.38.mlp.down_proj.weight": "model-00018-of-00029.safetensors",
|
394 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00018-of-00029.safetensors",
|
395 |
+
"model.layers.38.mlp.up_proj.weight": "model-00018-of-00029.safetensors",
|
396 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00018-of-00029.safetensors",
|
397 |
+
"model.layers.38.self_attn.k_proj.bias": "model-00017-of-00029.safetensors",
|
398 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00017-of-00029.safetensors",
|
399 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00017-of-00029.safetensors",
|
400 |
+
"model.layers.38.self_attn.q_proj.bias": "model-00017-of-00029.safetensors",
|
401 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00017-of-00029.safetensors",
|
402 |
+
"model.layers.38.self_attn.v_proj.bias": "model-00017-of-00029.safetensors",
|
403 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00017-of-00029.safetensors",
|
404 |
+
"model.layers.39.input_layernorm.weight": "model-00018-of-00029.safetensors",
|
405 |
+
"model.layers.39.mlp.down_proj.weight": "model-00018-of-00029.safetensors",
|
406 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00018-of-00029.safetensors",
|
407 |
+
"model.layers.39.mlp.up_proj.weight": "model-00018-of-00029.safetensors",
|
408 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00018-of-00029.safetensors",
|
409 |
+
"model.layers.39.self_attn.k_proj.bias": "model-00018-of-00029.safetensors",
|
410 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00018-of-00029.safetensors",
|
411 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00018-of-00029.safetensors",
|
412 |
+
"model.layers.39.self_attn.q_proj.bias": "model-00018-of-00029.safetensors",
|
413 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00018-of-00029.safetensors",
|
414 |
+
"model.layers.39.self_attn.v_proj.bias": "model-00018-of-00029.safetensors",
|
415 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00018-of-00029.safetensors",
|
416 |
+
"model.layers.4.input_layernorm.weight": "model-00003-of-00029.safetensors",
|
417 |
+
"model.layers.4.mlp.down_proj.weight": "model-00003-of-00029.safetensors",
|
418 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00003-of-00029.safetensors",
|
419 |
+
"model.layers.4.mlp.up_proj.weight": "model-00003-of-00029.safetensors",
|
420 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00003-of-00029.safetensors",
|
421 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00003-of-00029.safetensors",
|
422 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00003-of-00029.safetensors",
|
423 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00003-of-00029.safetensors",
|
424 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00003-of-00029.safetensors",
|
425 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00003-of-00029.safetensors",
|
426 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00003-of-00029.safetensors",
|
427 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00003-of-00029.safetensors",
|
428 |
+
"model.layers.40.input_layernorm.weight": "model-00019-of-00029.safetensors",
|
429 |
+
"model.layers.40.mlp.down_proj.weight": "model-00019-of-00029.safetensors",
|
430 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00018-of-00029.safetensors",
|
431 |
+
"model.layers.40.mlp.up_proj.weight": "model-00019-of-00029.safetensors",
|
432 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00019-of-00029.safetensors",
|
433 |
+
"model.layers.40.self_attn.k_proj.bias": "model-00018-of-00029.safetensors",
|
434 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00018-of-00029.safetensors",
|
435 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00018-of-00029.safetensors",
|
436 |
+
"model.layers.40.self_attn.q_proj.bias": "model-00018-of-00029.safetensors",
|
437 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00018-of-00029.safetensors",
|
438 |
+
"model.layers.40.self_attn.v_proj.bias": "model-00018-of-00029.safetensors",
|
439 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00018-of-00029.safetensors",
|
440 |
+
"model.layers.41.input_layernorm.weight": "model-00019-of-00029.safetensors",
|
441 |
+
"model.layers.41.mlp.down_proj.weight": "model-00019-of-00029.safetensors",
|
442 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00019-of-00029.safetensors",
|
443 |
+
"model.layers.41.mlp.up_proj.weight": "model-00019-of-00029.safetensors",
|
444 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00019-of-00029.safetensors",
|
445 |
+
"model.layers.41.self_attn.k_proj.bias": "model-00019-of-00029.safetensors",
|
446 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00019-of-00029.safetensors",
|
447 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00019-of-00029.safetensors",
|
448 |
+
"model.layers.41.self_attn.q_proj.bias": "model-00019-of-00029.safetensors",
|
449 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00019-of-00029.safetensors",
|
450 |
+
"model.layers.41.self_attn.v_proj.bias": "model-00019-of-00029.safetensors",
|
451 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00019-of-00029.safetensors",
|
452 |
+
"model.layers.42.input_layernorm.weight": "model-00020-of-00029.safetensors",
|
453 |
+
"model.layers.42.mlp.down_proj.weight": "model-00020-of-00029.safetensors",
|
454 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00019-of-00029.safetensors",
|
455 |
+
"model.layers.42.mlp.up_proj.weight": "model-00019-of-00029.safetensors",
|
456 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00020-of-00029.safetensors",
|
457 |
+
"model.layers.42.self_attn.k_proj.bias": "model-00019-of-00029.safetensors",
|
458 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00019-of-00029.safetensors",
|
459 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00019-of-00029.safetensors",
|
460 |
+
"model.layers.42.self_attn.q_proj.bias": "model-00019-of-00029.safetensors",
|
461 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00019-of-00029.safetensors",
|
462 |
+
"model.layers.42.self_attn.v_proj.bias": "model-00019-of-00029.safetensors",
|
463 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00019-of-00029.safetensors",
|
464 |
+
"model.layers.43.input_layernorm.weight": "model-00020-of-00029.safetensors",
|
465 |
+
"model.layers.43.mlp.down_proj.weight": "model-00020-of-00029.safetensors",
|
466 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00020-of-00029.safetensors",
|
467 |
+
"model.layers.43.mlp.up_proj.weight": "model-00020-of-00029.safetensors",
|
468 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00020-of-00029.safetensors",
|
469 |
+
"model.layers.43.self_attn.k_proj.bias": "model-00020-of-00029.safetensors",
|
470 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00020-of-00029.safetensors",
|
471 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00020-of-00029.safetensors",
|
472 |
+
"model.layers.43.self_attn.q_proj.bias": "model-00020-of-00029.safetensors",
|
473 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00020-of-00029.safetensors",
|
474 |
+
"model.layers.43.self_attn.v_proj.bias": "model-00020-of-00029.safetensors",
|
475 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00020-of-00029.safetensors",
|
476 |
+
"model.layers.44.input_layernorm.weight": "model-00020-of-00029.safetensors",
|
477 |
+
"model.layers.44.mlp.down_proj.weight": "model-00020-of-00029.safetensors",
|
478 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00020-of-00029.safetensors",
|
479 |
+
"model.layers.44.mlp.up_proj.weight": "model-00020-of-00029.safetensors",
|
480 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00020-of-00029.safetensors",
|
481 |
+
"model.layers.44.self_attn.k_proj.bias": "model-00020-of-00029.safetensors",
|
482 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00020-of-00029.safetensors",
|
483 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00020-of-00029.safetensors",
|
484 |
+
"model.layers.44.self_attn.q_proj.bias": "model-00020-of-00029.safetensors",
|
485 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00020-of-00029.safetensors",
|
486 |
+
"model.layers.44.self_attn.v_proj.bias": "model-00020-of-00029.safetensors",
|
487 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00020-of-00029.safetensors",
|
488 |
+
"model.layers.45.input_layernorm.weight": "model-00021-of-00029.safetensors",
|
489 |
+
"model.layers.45.mlp.down_proj.weight": "model-00021-of-00029.safetensors",
|
490 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00021-of-00029.safetensors",
|
491 |
+
"model.layers.45.mlp.up_proj.weight": "model-00021-of-00029.safetensors",
|
492 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00021-of-00029.safetensors",
|
493 |
+
"model.layers.45.self_attn.k_proj.bias": "model-00020-of-00029.safetensors",
|
494 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00020-of-00029.safetensors",
|
495 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00020-of-00029.safetensors",
|
496 |
+
"model.layers.45.self_attn.q_proj.bias": "model-00020-of-00029.safetensors",
|
497 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00020-of-00029.safetensors",
|
498 |
+
"model.layers.45.self_attn.v_proj.bias": "model-00020-of-00029.safetensors",
|
499 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00020-of-00029.safetensors",
|
500 |
+
"model.layers.46.input_layernorm.weight": "model-00021-of-00029.safetensors",
|
501 |
+
"model.layers.46.mlp.down_proj.weight": "model-00021-of-00029.safetensors",
|
502 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00021-of-00029.safetensors",
|
503 |
+
"model.layers.46.mlp.up_proj.weight": "model-00021-of-00029.safetensors",
|
504 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00021-of-00029.safetensors",
|
505 |
+
"model.layers.46.self_attn.k_proj.bias": "model-00021-of-00029.safetensors",
|
506 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00021-of-00029.safetensors",
|
507 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00021-of-00029.safetensors",
|
508 |
+
"model.layers.46.self_attn.q_proj.bias": "model-00021-of-00029.safetensors",
|
509 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00021-of-00029.safetensors",
|
510 |
+
"model.layers.46.self_attn.v_proj.bias": "model-00021-of-00029.safetensors",
|
511 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00021-of-00029.safetensors",
|
512 |
+
"model.layers.47.input_layernorm.weight": "model-00022-of-00029.safetensors",
|
513 |
+
"model.layers.47.mlp.down_proj.weight": "model-00022-of-00029.safetensors",
|
514 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00021-of-00029.safetensors",
|
515 |
+
"model.layers.47.mlp.up_proj.weight": "model-00022-of-00029.safetensors",
|
516 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00022-of-00029.safetensors",
|
517 |
+
"model.layers.47.self_attn.k_proj.bias": "model-00021-of-00029.safetensors",
|
518 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00021-of-00029.safetensors",
|
519 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00021-of-00029.safetensors",
|
520 |
+
"model.layers.47.self_attn.q_proj.bias": "model-00021-of-00029.safetensors",
|
521 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00021-of-00029.safetensors",
|
522 |
+
"model.layers.47.self_attn.v_proj.bias": "model-00021-of-00029.safetensors",
|
523 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00021-of-00029.safetensors",
|
524 |
+
"model.layers.48.input_layernorm.weight": "model-00022-of-00029.safetensors",
|
525 |
+
"model.layers.48.mlp.down_proj.weight": "model-00022-of-00029.safetensors",
|
526 |
+
"model.layers.48.mlp.gate_proj.weight": "model-00022-of-00029.safetensors",
|
527 |
+
"model.layers.48.mlp.up_proj.weight": "model-00022-of-00029.safetensors",
|
528 |
+
"model.layers.48.post_attention_layernorm.weight": "model-00022-of-00029.safetensors",
|
529 |
+
"model.layers.48.self_attn.k_proj.bias": "model-00022-of-00029.safetensors",
|
530 |
+
"model.layers.48.self_attn.k_proj.weight": "model-00022-of-00029.safetensors",
|
531 |
+
"model.layers.48.self_attn.o_proj.weight": "model-00022-of-00029.safetensors",
|
532 |
+
"model.layers.48.self_attn.q_proj.bias": "model-00022-of-00029.safetensors",
|
533 |
+
"model.layers.48.self_attn.q_proj.weight": "model-00022-of-00029.safetensors",
|
534 |
+
"model.layers.48.self_attn.v_proj.bias": "model-00022-of-00029.safetensors",
|
535 |
+
"model.layers.48.self_attn.v_proj.weight": "model-00022-of-00029.safetensors",
|
536 |
+
"model.layers.49.input_layernorm.weight": "model-00023-of-00029.safetensors",
|
537 |
+
"model.layers.49.mlp.down_proj.weight": "model-00023-of-00029.safetensors",
|
538 |
+
"model.layers.49.mlp.gate_proj.weight": "model-00022-of-00029.safetensors",
|
539 |
+
"model.layers.49.mlp.up_proj.weight": "model-00022-of-00029.safetensors",
|
540 |
+
"model.layers.49.post_attention_layernorm.weight": "model-00023-of-00029.safetensors",
|
541 |
+
"model.layers.49.self_attn.k_proj.bias": "model-00022-of-00029.safetensors",
|
542 |
+
"model.layers.49.self_attn.k_proj.weight": "model-00022-of-00029.safetensors",
|
543 |
+
"model.layers.49.self_attn.o_proj.weight": "model-00022-of-00029.safetensors",
|
544 |
+
"model.layers.49.self_attn.q_proj.bias": "model-00022-of-00029.safetensors",
|
545 |
+
"model.layers.49.self_attn.q_proj.weight": "model-00022-of-00029.safetensors",
|
546 |
+
"model.layers.49.self_attn.v_proj.bias": "model-00022-of-00029.safetensors",
|
547 |
+
"model.layers.49.self_attn.v_proj.weight": "model-00022-of-00029.safetensors",
|
548 |
+
"model.layers.5.input_layernorm.weight": "model-00004-of-00029.safetensors",
|
549 |
+
"model.layers.5.mlp.down_proj.weight": "model-00004-of-00029.safetensors",
|
550 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00003-of-00029.safetensors",
|
551 |
+
"model.layers.5.mlp.up_proj.weight": "model-00004-of-00029.safetensors",
|
552 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00004-of-00029.safetensors",
|
553 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00003-of-00029.safetensors",
|
554 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00003-of-00029.safetensors",
|
555 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00003-of-00029.safetensors",
|
556 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00003-of-00029.safetensors",
|
557 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00003-of-00029.safetensors",
|
558 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00003-of-00029.safetensors",
|
559 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00003-of-00029.safetensors",
|
560 |
+
"model.layers.50.input_layernorm.weight": "model-00023-of-00029.safetensors",
|
561 |
+
"model.layers.50.mlp.down_proj.weight": "model-00023-of-00029.safetensors",
|
562 |
+
"model.layers.50.mlp.gate_proj.weight": "model-00023-of-00029.safetensors",
|
563 |
+
"model.layers.50.mlp.up_proj.weight": "model-00023-of-00029.safetensors",
|
564 |
+
"model.layers.50.post_attention_layernorm.weight": "model-00023-of-00029.safetensors",
|
565 |
+
"model.layers.50.self_attn.k_proj.bias": "model-00023-of-00029.safetensors",
|
566 |
+
"model.layers.50.self_attn.k_proj.weight": "model-00023-of-00029.safetensors",
|
567 |
+
"model.layers.50.self_attn.o_proj.weight": "model-00023-of-00029.safetensors",
|
568 |
+
"model.layers.50.self_attn.q_proj.bias": "model-00023-of-00029.safetensors",
|
569 |
+
"model.layers.50.self_attn.q_proj.weight": "model-00023-of-00029.safetensors",
|
570 |
+
"model.layers.50.self_attn.v_proj.bias": "model-00023-of-00029.safetensors",
|
571 |
+
"model.layers.50.self_attn.v_proj.weight": "model-00023-of-00029.safetensors",
|
572 |
+
"model.layers.51.input_layernorm.weight": "model-00023-of-00029.safetensors",
|
573 |
+
"model.layers.51.mlp.down_proj.weight": "model-00023-of-00029.safetensors",
|
574 |
+
"model.layers.51.mlp.gate_proj.weight": "model-00023-of-00029.safetensors",
|
575 |
+
"model.layers.51.mlp.up_proj.weight": "model-00023-of-00029.safetensors",
|
576 |
+
"model.layers.51.post_attention_layernorm.weight": "model-00023-of-00029.safetensors",
|
577 |
+
"model.layers.51.self_attn.k_proj.bias": "model-00023-of-00029.safetensors",
|
578 |
+
"model.layers.51.self_attn.k_proj.weight": "model-00023-of-00029.safetensors",
|
579 |
+
"model.layers.51.self_attn.o_proj.weight": "model-00023-of-00029.safetensors",
|
580 |
+
"model.layers.51.self_attn.q_proj.bias": "model-00023-of-00029.safetensors",
|
581 |
+
"model.layers.51.self_attn.q_proj.weight": "model-00023-of-00029.safetensors",
|
582 |
+
"model.layers.51.self_attn.v_proj.bias": "model-00023-of-00029.safetensors",
|
583 |
+
"model.layers.51.self_attn.v_proj.weight": "model-00023-of-00029.safetensors",
|
584 |
+
"model.layers.52.input_layernorm.weight": "model-00024-of-00029.safetensors",
|
585 |
+
"model.layers.52.mlp.down_proj.weight": "model-00024-of-00029.safetensors",
|
586 |
+
"model.layers.52.mlp.gate_proj.weight": "model-00024-of-00029.safetensors",
|
587 |
+
"model.layers.52.mlp.up_proj.weight": "model-00024-of-00029.safetensors",
|
588 |
+
"model.layers.52.post_attention_layernorm.weight": "model-00024-of-00029.safetensors",
|
589 |
+
"model.layers.52.self_attn.k_proj.bias": "model-00023-of-00029.safetensors",
|
590 |
+
"model.layers.52.self_attn.k_proj.weight": "model-00023-of-00029.safetensors",
|
591 |
+
"model.layers.52.self_attn.o_proj.weight": "model-00023-of-00029.safetensors",
|
592 |
+
"model.layers.52.self_attn.q_proj.bias": "model-00023-of-00029.safetensors",
|
593 |
+
"model.layers.52.self_attn.q_proj.weight": "model-00023-of-00029.safetensors",
|
594 |
+
"model.layers.52.self_attn.v_proj.bias": "model-00023-of-00029.safetensors",
|
595 |
+
"model.layers.52.self_attn.v_proj.weight": "model-00023-of-00029.safetensors",
|
596 |
+
"model.layers.53.input_layernorm.weight": "model-00024-of-00029.safetensors",
|
597 |
+
"model.layers.53.mlp.down_proj.weight": "model-00024-of-00029.safetensors",
|
598 |
+
"model.layers.53.mlp.gate_proj.weight": "model-00024-of-00029.safetensors",
|
599 |
+
"model.layers.53.mlp.up_proj.weight": "model-00024-of-00029.safetensors",
|
600 |
+
"model.layers.53.post_attention_layernorm.weight": "model-00024-of-00029.safetensors",
|
601 |
+
"model.layers.53.self_attn.k_proj.bias": "model-00024-of-00029.safetensors",
|
602 |
+
"model.layers.53.self_attn.k_proj.weight": "model-00024-of-00029.safetensors",
|
603 |
+
"model.layers.53.self_attn.o_proj.weight": "model-00024-of-00029.safetensors",
|
604 |
+
"model.layers.53.self_attn.q_proj.bias": "model-00024-of-00029.safetensors",
|
605 |
+
"model.layers.53.self_attn.q_proj.weight": "model-00024-of-00029.safetensors",
|
606 |
+
"model.layers.53.self_attn.v_proj.bias": "model-00024-of-00029.safetensors",
|
607 |
+
"model.layers.53.self_attn.v_proj.weight": "model-00024-of-00029.safetensors",
|
608 |
+
"model.layers.54.input_layernorm.weight": "model-00025-of-00029.safetensors",
|
609 |
+
"model.layers.54.mlp.down_proj.weight": "model-00025-of-00029.safetensors",
|
610 |
+
"model.layers.54.mlp.gate_proj.weight": "model-00024-of-00029.safetensors",
|
611 |
+
"model.layers.54.mlp.up_proj.weight": "model-00025-of-00029.safetensors",
|
612 |
+
"model.layers.54.post_attention_layernorm.weight": "model-00025-of-00029.safetensors",
|
613 |
+
"model.layers.54.self_attn.k_proj.bias": "model-00024-of-00029.safetensors",
|
614 |
+
"model.layers.54.self_attn.k_proj.weight": "model-00024-of-00029.safetensors",
|
615 |
+
"model.layers.54.self_attn.o_proj.weight": "model-00024-of-00029.safetensors",
|
616 |
+
"model.layers.54.self_attn.q_proj.bias": "model-00024-of-00029.safetensors",
|
617 |
+
"model.layers.54.self_attn.q_proj.weight": "model-00024-of-00029.safetensors",
|
618 |
+
"model.layers.54.self_attn.v_proj.bias": "model-00024-of-00029.safetensors",
|
619 |
+
"model.layers.54.self_attn.v_proj.weight": "model-00024-of-00029.safetensors",
|
620 |
+
"model.layers.55.input_layernorm.weight": "model-00025-of-00029.safetensors",
|
621 |
+
"model.layers.55.mlp.down_proj.weight": "model-00025-of-00029.safetensors",
|
622 |
+
"model.layers.55.mlp.gate_proj.weight": "model-00025-of-00029.safetensors",
|
623 |
+
"model.layers.55.mlp.up_proj.weight": "model-00025-of-00029.safetensors",
|
624 |
+
"model.layers.55.post_attention_layernorm.weight": "model-00025-of-00029.safetensors",
|
625 |
+
"model.layers.55.self_attn.k_proj.bias": "model-00025-of-00029.safetensors",
|
626 |
+
"model.layers.55.self_attn.k_proj.weight": "model-00025-of-00029.safetensors",
|
627 |
+
"model.layers.55.self_attn.o_proj.weight": "model-00025-of-00029.safetensors",
|
628 |
+
"model.layers.55.self_attn.q_proj.bias": "model-00025-of-00029.safetensors",
|
629 |
+
"model.layers.55.self_attn.q_proj.weight": "model-00025-of-00029.safetensors",
|
630 |
+
"model.layers.55.self_attn.v_proj.bias": "model-00025-of-00029.safetensors",
|
631 |
+
"model.layers.55.self_attn.v_proj.weight": "model-00025-of-00029.safetensors",
|
632 |
+
"model.layers.56.input_layernorm.weight": "model-00026-of-00029.safetensors",
|
633 |
+
"model.layers.56.mlp.down_proj.weight": "model-00026-of-00029.safetensors",
|
634 |
+
"model.layers.56.mlp.gate_proj.weight": "model-00025-of-00029.safetensors",
|
635 |
+
"model.layers.56.mlp.up_proj.weight": "model-00025-of-00029.safetensors",
|
636 |
+
"model.layers.56.post_attention_layernorm.weight": "model-00026-of-00029.safetensors",
|
637 |
+
"model.layers.56.self_attn.k_proj.bias": "model-00025-of-00029.safetensors",
|
638 |
+
"model.layers.56.self_attn.k_proj.weight": "model-00025-of-00029.safetensors",
|
639 |
+
"model.layers.56.self_attn.o_proj.weight": "model-00025-of-00029.safetensors",
|
640 |
+
"model.layers.56.self_attn.q_proj.bias": "model-00025-of-00029.safetensors",
|
641 |
+
"model.layers.56.self_attn.q_proj.weight": "model-00025-of-00029.safetensors",
|
642 |
+
"model.layers.56.self_attn.v_proj.bias": "model-00025-of-00029.safetensors",
|
643 |
+
"model.layers.56.self_attn.v_proj.weight": "model-00025-of-00029.safetensors",
|
644 |
+
"model.layers.57.input_layernorm.weight": "model-00026-of-00029.safetensors",
|
645 |
+
"model.layers.57.mlp.down_proj.weight": "model-00026-of-00029.safetensors",
|
646 |
+
"model.layers.57.mlp.gate_proj.weight": "model-00026-of-00029.safetensors",
|
647 |
+
"model.layers.57.mlp.up_proj.weight": "model-00026-of-00029.safetensors",
|
648 |
+
"model.layers.57.post_attention_layernorm.weight": "model-00026-of-00029.safetensors",
|
649 |
+
"model.layers.57.self_attn.k_proj.bias": "model-00026-of-00029.safetensors",
|
650 |
+
"model.layers.57.self_attn.k_proj.weight": "model-00026-of-00029.safetensors",
|
651 |
+
"model.layers.57.self_attn.o_proj.weight": "model-00026-of-00029.safetensors",
|
652 |
+
"model.layers.57.self_attn.q_proj.bias": "model-00026-of-00029.safetensors",
|
653 |
+
"model.layers.57.self_attn.q_proj.weight": "model-00026-of-00029.safetensors",
|
654 |
+
"model.layers.57.self_attn.v_proj.bias": "model-00026-of-00029.safetensors",
|
655 |
+
"model.layers.57.self_attn.v_proj.weight": "model-00026-of-00029.safetensors",
|
656 |
+
"model.layers.58.input_layernorm.weight": "model-00026-of-00029.safetensors",
|
657 |
+
"model.layers.58.mlp.down_proj.weight": "model-00026-of-00029.safetensors",
|
658 |
+
"model.layers.58.mlp.gate_proj.weight": "model-00026-of-00029.safetensors",
|
659 |
+
"model.layers.58.mlp.up_proj.weight": "model-00026-of-00029.safetensors",
|
660 |
+
"model.layers.58.post_attention_layernorm.weight": "model-00026-of-00029.safetensors",
|
661 |
+
"model.layers.58.self_attn.k_proj.bias": "model-00026-of-00029.safetensors",
|
662 |
+
"model.layers.58.self_attn.k_proj.weight": "model-00026-of-00029.safetensors",
|
663 |
+
"model.layers.58.self_attn.o_proj.weight": "model-00026-of-00029.safetensors",
|
664 |
+
"model.layers.58.self_attn.q_proj.bias": "model-00026-of-00029.safetensors",
|
665 |
+
"model.layers.58.self_attn.q_proj.weight": "model-00026-of-00029.safetensors",
|
666 |
+
"model.layers.58.self_attn.v_proj.bias": "model-00026-of-00029.safetensors",
|
667 |
+
"model.layers.58.self_attn.v_proj.weight": "model-00026-of-00029.safetensors",
|
668 |
+
"model.layers.59.input_layernorm.weight": "model-00027-of-00029.safetensors",
|
669 |
+
"model.layers.59.mlp.down_proj.weight": "model-00027-of-00029.safetensors",
|
670 |
+
"model.layers.59.mlp.gate_proj.weight": "model-00027-of-00029.safetensors",
|
671 |
+
"model.layers.59.mlp.up_proj.weight": "model-00027-of-00029.safetensors",
|
672 |
+
"model.layers.59.post_attention_layernorm.weight": "model-00027-of-00029.safetensors",
|
673 |
+
"model.layers.59.self_attn.k_proj.bias": "model-00026-of-00029.safetensors",
|
674 |
+
"model.layers.59.self_attn.k_proj.weight": "model-00026-of-00029.safetensors",
|
675 |
+
"model.layers.59.self_attn.o_proj.weight": "model-00026-of-00029.safetensors",
|
676 |
+
"model.layers.59.self_attn.q_proj.bias": "model-00026-of-00029.safetensors",
|
677 |
+
"model.layers.59.self_attn.q_proj.weight": "model-00026-of-00029.safetensors",
|
678 |
+
"model.layers.59.self_attn.v_proj.bias": "model-00026-of-00029.safetensors",
|
679 |
+
"model.layers.59.self_attn.v_proj.weight": "model-00026-of-00029.safetensors",
|
680 |
+
"model.layers.6.input_layernorm.weight": "model-00004-of-00029.safetensors",
|
681 |
+
"model.layers.6.mlp.down_proj.weight": "model-00004-of-00029.safetensors",
|
682 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00004-of-00029.safetensors",
|
683 |
+
"model.layers.6.mlp.up_proj.weight": "model-00004-of-00029.safetensors",
|
684 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00004-of-00029.safetensors",
|
685 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00004-of-00029.safetensors",
|
686 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00004-of-00029.safetensors",
|
687 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00004-of-00029.safetensors",
|
688 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00004-of-00029.safetensors",
|
689 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00004-of-00029.safetensors",
|
690 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00004-of-00029.safetensors",
|
691 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00004-of-00029.safetensors",
|
692 |
+
"model.layers.60.input_layernorm.weight": "model-00027-of-00029.safetensors",
|
693 |
+
"model.layers.60.mlp.down_proj.weight": "model-00027-of-00029.safetensors",
|
694 |
+
"model.layers.60.mlp.gate_proj.weight": "model-00027-of-00029.safetensors",
|
695 |
+
"model.layers.60.mlp.up_proj.weight": "model-00027-of-00029.safetensors",
|
696 |
+
"model.layers.60.post_attention_layernorm.weight": "model-00027-of-00029.safetensors",
|
697 |
+
"model.layers.60.self_attn.k_proj.bias": "model-00027-of-00029.safetensors",
|
698 |
+
"model.layers.60.self_attn.k_proj.weight": "model-00027-of-00029.safetensors",
|
699 |
+
"model.layers.60.self_attn.o_proj.weight": "model-00027-of-00029.safetensors",
|
700 |
+
"model.layers.60.self_attn.q_proj.bias": "model-00027-of-00029.safetensors",
|
701 |
+
"model.layers.60.self_attn.q_proj.weight": "model-00027-of-00029.safetensors",
|
702 |
+
"model.layers.60.self_attn.v_proj.bias": "model-00027-of-00029.safetensors",
|
703 |
+
"model.layers.60.self_attn.v_proj.weight": "model-00027-of-00029.safetensors",
|
704 |
+
"model.layers.61.input_layernorm.weight": "model-00028-of-00029.safetensors",
|
705 |
+
"model.layers.61.mlp.down_proj.weight": "model-00028-of-00029.safetensors",
|
706 |
+
"model.layers.61.mlp.gate_proj.weight": "model-00027-of-00029.safetensors",
|
707 |
+
"model.layers.61.mlp.up_proj.weight": "model-00028-of-00029.safetensors",
|
708 |
+
"model.layers.61.post_attention_layernorm.weight": "model-00028-of-00029.safetensors",
|
709 |
+
"model.layers.61.self_attn.k_proj.bias": "model-00027-of-00029.safetensors",
|
710 |
+
"model.layers.61.self_attn.k_proj.weight": "model-00027-of-00029.safetensors",
|
711 |
+
"model.layers.61.self_attn.o_proj.weight": "model-00027-of-00029.safetensors",
|
712 |
+
"model.layers.61.self_attn.q_proj.bias": "model-00027-of-00029.safetensors",
|
713 |
+
"model.layers.61.self_attn.q_proj.weight": "model-00027-of-00029.safetensors",
|
714 |
+
"model.layers.61.self_attn.v_proj.bias": "model-00027-of-00029.safetensors",
|
715 |
+
"model.layers.61.self_attn.v_proj.weight": "model-00027-of-00029.safetensors",
|
716 |
+
"model.layers.62.input_layernorm.weight": "model-00028-of-00029.safetensors",
|
717 |
+
"model.layers.62.mlp.down_proj.weight": "model-00028-of-00029.safetensors",
|
718 |
+
"model.layers.62.mlp.gate_proj.weight": "model-00028-of-00029.safetensors",
|
719 |
+
"model.layers.62.mlp.up_proj.weight": "model-00028-of-00029.safetensors",
|
720 |
+
"model.layers.62.post_attention_layernorm.weight": "model-00028-of-00029.safetensors",
|
721 |
+
"model.layers.62.self_attn.k_proj.bias": "model-00028-of-00029.safetensors",
|
722 |
+
"model.layers.62.self_attn.k_proj.weight": "model-00028-of-00029.safetensors",
|
723 |
+
"model.layers.62.self_attn.o_proj.weight": "model-00028-of-00029.safetensors",
|
724 |
+
"model.layers.62.self_attn.q_proj.bias": "model-00028-of-00029.safetensors",
|
725 |
+
"model.layers.62.self_attn.q_proj.weight": "model-00028-of-00029.safetensors",
|
726 |
+
"model.layers.62.self_attn.v_proj.bias": "model-00028-of-00029.safetensors",
|
727 |
+
"model.layers.62.self_attn.v_proj.weight": "model-00028-of-00029.safetensors",
|
728 |
+
"model.layers.63.input_layernorm.weight": "model-00029-of-00029.safetensors",
|
729 |
+
"model.layers.63.mlp.down_proj.weight": "model-00029-of-00029.safetensors",
|
730 |
+
"model.layers.63.mlp.gate_proj.weight": "model-00028-of-00029.safetensors",
|
731 |
+
"model.layers.63.mlp.up_proj.weight": "model-00028-of-00029.safetensors",
|
732 |
+
"model.layers.63.post_attention_layernorm.weight": "model-00029-of-00029.safetensors",
|
733 |
+
"model.layers.63.self_attn.k_proj.bias": "model-00028-of-00029.safetensors",
|
734 |
+
"model.layers.63.self_attn.k_proj.weight": "model-00028-of-00029.safetensors",
|
735 |
+
"model.layers.63.self_attn.o_proj.weight": "model-00028-of-00029.safetensors",
|
736 |
+
"model.layers.63.self_attn.q_proj.bias": "model-00028-of-00029.safetensors",
|
737 |
+
"model.layers.63.self_attn.q_proj.weight": "model-00028-of-00029.safetensors",
|
738 |
+
"model.layers.63.self_attn.v_proj.bias": "model-00028-of-00029.safetensors",
|
739 |
+
"model.layers.63.self_attn.v_proj.weight": "model-00028-of-00029.safetensors",
|
740 |
+
"model.layers.7.input_layernorm.weight": "model-00005-of-00029.safetensors",
|
741 |
+
"model.layers.7.mlp.down_proj.weight": "model-00005-of-00029.safetensors",
|
742 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00004-of-00029.safetensors",
|
743 |
+
"model.layers.7.mlp.up_proj.weight": "model-00004-of-00029.safetensors",
|
744 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00005-of-00029.safetensors",
|
745 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00004-of-00029.safetensors",
|
746 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00004-of-00029.safetensors",
|
747 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00004-of-00029.safetensors",
|
748 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00004-of-00029.safetensors",
|
749 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00004-of-00029.safetensors",
|
750 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00004-of-00029.safetensors",
|
751 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00004-of-00029.safetensors",
|
752 |
+
"model.layers.8.input_layernorm.weight": "model-00005-of-00029.safetensors",
|
753 |
+
"model.layers.8.mlp.down_proj.weight": "model-00005-of-00029.safetensors",
|
754 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00005-of-00029.safetensors",
|
755 |
+
"model.layers.8.mlp.up_proj.weight": "model-00005-of-00029.safetensors",
|
756 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00005-of-00029.safetensors",
|
757 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00005-of-00029.safetensors",
|
758 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00005-of-00029.safetensors",
|
759 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00005-of-00029.safetensors",
|
760 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00005-of-00029.safetensors",
|
761 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00005-of-00029.safetensors",
|
762 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00005-of-00029.safetensors",
|
763 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00005-of-00029.safetensors",
|
764 |
+
"model.layers.9.input_layernorm.weight": "model-00005-of-00029.safetensors",
|
765 |
+
"model.layers.9.mlp.down_proj.weight": "model-00005-of-00029.safetensors",
|
766 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00005-of-00029.safetensors",
|
767 |
+
"model.layers.9.mlp.up_proj.weight": "model-00005-of-00029.safetensors",
|
768 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00005-of-00029.safetensors",
|
769 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00005-of-00029.safetensors",
|
770 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00005-of-00029.safetensors",
|
771 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00005-of-00029.safetensors",
|
772 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00005-of-00029.safetensors",
|
773 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00005-of-00029.safetensors",
|
774 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00005-of-00029.safetensors",
|
775 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00005-of-00029.safetensors",
|
776 |
+
"model.norm.weight": "model-00029-of-00029.safetensors"
|
777 |
+
}
|
778 |
+
}
|
checkpoint-526/trainer_state.json
ADDED
@@ -0,0 +1,3715 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9971523493118177,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 526,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0037968675842429997,
|
13 |
+
"grad_norm": 190.1852569580078,
|
14 |
+
"learning_rate": 1.8518518518518518e-07,
|
15 |
+
"loss": 2.1743,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.007593735168485999,
|
20 |
+
"grad_norm": 318.4629211425781,
|
21 |
+
"learning_rate": 3.7037037037037036e-07,
|
22 |
+
"loss": 2.1888,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.011390602752728999,
|
27 |
+
"grad_norm": 4.048186302185059,
|
28 |
+
"learning_rate": 5.555555555555555e-07,
|
29 |
+
"loss": 1.8374,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.015187470336971999,
|
34 |
+
"grad_norm": 149.984375,
|
35 |
+
"learning_rate": 7.407407407407407e-07,
|
36 |
+
"loss": 2.2082,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.018984337921214997,
|
41 |
+
"grad_norm": 140.36471557617188,
|
42 |
+
"learning_rate": 9.259259259259259e-07,
|
43 |
+
"loss": 2.5169,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.022781205505457997,
|
48 |
+
"grad_norm": 81.98410034179688,
|
49 |
+
"learning_rate": 1.111111111111111e-06,
|
50 |
+
"loss": 2.0747,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.026578073089700997,
|
55 |
+
"grad_norm": 3.9009580612182617,
|
56 |
+
"learning_rate": 1.2962962962962962e-06,
|
57 |
+
"loss": 1.8328,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.030374940673943997,
|
62 |
+
"grad_norm": 239.54661560058594,
|
63 |
+
"learning_rate": 1.4814814814814815e-06,
|
64 |
+
"loss": 2.1877,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.034171808258187,
|
69 |
+
"grad_norm": 181.9974822998047,
|
70 |
+
"learning_rate": 1.6666666666666667e-06,
|
71 |
+
"loss": 1.9126,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.037968675842429994,
|
76 |
+
"grad_norm": 71.94468688964844,
|
77 |
+
"learning_rate": 1.8518518518518519e-06,
|
78 |
+
"loss": 1.9289,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.041765543426673,
|
83 |
+
"grad_norm": 327.50091552734375,
|
84 |
+
"learning_rate": 2.037037037037037e-06,
|
85 |
+
"loss": 1.8236,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.045562411010915994,
|
90 |
+
"grad_norm": 3.223841667175293,
|
91 |
+
"learning_rate": 2.222222222222222e-06,
|
92 |
+
"loss": 1.7878,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04935927859515899,
|
97 |
+
"grad_norm": 230.49221801757812,
|
98 |
+
"learning_rate": 2.4074074074074075e-06,
|
99 |
+
"loss": 1.6871,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.053156146179401995,
|
104 |
+
"grad_norm": 18558.3125,
|
105 |
+
"learning_rate": 2.5925925925925925e-06,
|
106 |
+
"loss": 1.6958,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05695301376364499,
|
111 |
+
"grad_norm": 2.5916926860809326,
|
112 |
+
"learning_rate": 2.7777777777777783e-06,
|
113 |
+
"loss": 1.7525,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.060749881347887995,
|
118 |
+
"grad_norm": 2.61940598487854,
|
119 |
+
"learning_rate": 2.962962962962963e-06,
|
120 |
+
"loss": 1.7431,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.064546748932131,
|
125 |
+
"grad_norm": 175.40200805664062,
|
126 |
+
"learning_rate": 3.1481481481481483e-06,
|
127 |
+
"loss": 1.6176,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.068343616516374,
|
132 |
+
"grad_norm": 2.723275899887085,
|
133 |
+
"learning_rate": 3.3333333333333333e-06,
|
134 |
+
"loss": 1.7091,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07214048410061699,
|
139 |
+
"grad_norm": 575.9302368164062,
|
140 |
+
"learning_rate": 3.5185185185185187e-06,
|
141 |
+
"loss": 1.4155,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07593735168485999,
|
146 |
+
"grad_norm": 1.5204131603240967,
|
147 |
+
"learning_rate": 3.7037037037037037e-06,
|
148 |
+
"loss": 1.668,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.07973421926910298,
|
153 |
+
"grad_norm": 172.04342651367188,
|
154 |
+
"learning_rate": 3.88888888888889e-06,
|
155 |
+
"loss": 1.5175,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.083531086853346,
|
160 |
+
"grad_norm": 36.41116714477539,
|
161 |
+
"learning_rate": 4.074074074074074e-06,
|
162 |
+
"loss": 1.3265,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08732795443758899,
|
167 |
+
"grad_norm": 1.3005378246307373,
|
168 |
+
"learning_rate": 4.2592592592592596e-06,
|
169 |
+
"loss": 1.6097,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09112482202183199,
|
174 |
+
"grad_norm": 23.33233642578125,
|
175 |
+
"learning_rate": 4.444444444444444e-06,
|
176 |
+
"loss": 1.4055,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.09492168960607499,
|
181 |
+
"grad_norm": 1.2947165966033936,
|
182 |
+
"learning_rate": 4.62962962962963e-06,
|
183 |
+
"loss": 1.552,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.09871855719031798,
|
188 |
+
"grad_norm": 62.264190673828125,
|
189 |
+
"learning_rate": 4.814814814814815e-06,
|
190 |
+
"loss": 1.198,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.10251542477456099,
|
195 |
+
"grad_norm": 16.471799850463867,
|
196 |
+
"learning_rate": 5e-06,
|
197 |
+
"loss": 1.3374,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.10631229235880399,
|
202 |
+
"grad_norm": 9.552218437194824,
|
203 |
+
"learning_rate": 4.999950454155801e-06,
|
204 |
+
"loss": 1.3352,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.11010915994304699,
|
209 |
+
"grad_norm": 1.3561033010482788,
|
210 |
+
"learning_rate": 4.999801818587036e-06,
|
211 |
+
"loss": 1.5152,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.11390602752728998,
|
216 |
+
"grad_norm": 3.8642690181732178,
|
217 |
+
"learning_rate": 4.999554099185124e-06,
|
218 |
+
"loss": 1.3093,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.11770289511153298,
|
223 |
+
"grad_norm": 0.9432722926139832,
|
224 |
+
"learning_rate": 4.999207305768841e-06,
|
225 |
+
"loss": 1.3048,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.12149976269577599,
|
230 |
+
"grad_norm": 0.9486730694770813,
|
231 |
+
"learning_rate": 4.998761452083922e-06,
|
232 |
+
"loss": 1.4368,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.12529663028001897,
|
237 |
+
"grad_norm": 0.7894783020019531,
|
238 |
+
"learning_rate": 4.998216555802526e-06,
|
239 |
+
"loss": 1.2765,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.129093497864262,
|
244 |
+
"grad_norm": 0.8032355308532715,
|
245 |
+
"learning_rate": 4.997572638522531e-06,
|
246 |
+
"loss": 1.425,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.132890365448505,
|
251 |
+
"grad_norm": 0.6962498426437378,
|
252 |
+
"learning_rate": 4.996829725766676e-06,
|
253 |
+
"loss": 1.4005,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.136687233032748,
|
258 |
+
"grad_norm": 0.6125718355178833,
|
259 |
+
"learning_rate": 4.995987846981554e-06,
|
260 |
+
"loss": 1.0826,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.140484100616991,
|
265 |
+
"grad_norm": 0.6794630885124207,
|
266 |
+
"learning_rate": 4.995047035536439e-06,
|
267 |
+
"loss": 1.0644,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.14428096820123398,
|
272 |
+
"grad_norm": 0.6797907948493958,
|
273 |
+
"learning_rate": 4.9940073287219705e-06,
|
274 |
+
"loss": 1.0821,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.14807783578547698,
|
279 |
+
"grad_norm": 0.6790012121200562,
|
280 |
+
"learning_rate": 4.992868767748669e-06,
|
281 |
+
"loss": 1.2284,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.15187470336971998,
|
286 |
+
"grad_norm": 0.6396064758300781,
|
287 |
+
"learning_rate": 4.991631397745307e-06,
|
288 |
+
"loss": 1.197,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.15567157095396297,
|
293 |
+
"grad_norm": 0.6216674447059631,
|
294 |
+
"learning_rate": 4.990295267757117e-06,
|
295 |
+
"loss": 1.3547,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.15946843853820597,
|
300 |
+
"grad_norm": 0.49298611283302307,
|
301 |
+
"learning_rate": 4.98886043074385e-06,
|
302 |
+
"loss": 0.8974,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.16326530612244897,
|
307 |
+
"grad_norm": 0.5648188591003418,
|
308 |
+
"learning_rate": 4.987326943577675e-06,
|
309 |
+
"loss": 1.1868,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.167062173706692,
|
314 |
+
"grad_norm": 0.5617629885673523,
|
315 |
+
"learning_rate": 4.985694867040924e-06,
|
316 |
+
"loss": 1.197,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.170859041290935,
|
321 |
+
"grad_norm": 0.5470258593559265,
|
322 |
+
"learning_rate": 4.983964265823687e-06,
|
323 |
+
"loss": 1.0242,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.17465590887517798,
|
328 |
+
"grad_norm": 0.5692163705825806,
|
329 |
+
"learning_rate": 4.98213520852124e-06,
|
330 |
+
"loss": 1.3244,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.17845277645942098,
|
335 |
+
"grad_norm": 0.4028306007385254,
|
336 |
+
"learning_rate": 4.980207767631335e-06,
|
337 |
+
"loss": 0.7001,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.18224964404366398,
|
342 |
+
"grad_norm": 0.49932053685188293,
|
343 |
+
"learning_rate": 4.978182019551321e-06,
|
344 |
+
"loss": 1.1597,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.18604651162790697,
|
349 |
+
"grad_norm": 0.5206290483474731,
|
350 |
+
"learning_rate": 4.976058044575116e-06,
|
351 |
+
"loss": 1.3185,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.18984337921214997,
|
356 |
+
"grad_norm": 0.534298300743103,
|
357 |
+
"learning_rate": 4.973835926890027e-06,
|
358 |
+
"loss": 1.3182,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.19364024679639297,
|
363 |
+
"grad_norm": 0.4649883210659027,
|
364 |
+
"learning_rate": 4.9715157545734124e-06,
|
365 |
+
"loss": 1.1734,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.19743711438063596,
|
370 |
+
"grad_norm": 0.45419999957084656,
|
371 |
+
"learning_rate": 4.969097619589187e-06,
|
372 |
+
"loss": 1.1433,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.201233981964879,
|
377 |
+
"grad_norm": 0.4962867498397827,
|
378 |
+
"learning_rate": 4.9665816177841845e-06,
|
379 |
+
"loss": 1.1749,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.20503084954912199,
|
384 |
+
"grad_norm": 0.4966491162776947,
|
385 |
+
"learning_rate": 4.963967848884349e-06,
|
386 |
+
"loss": 1.1595,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.20882771713336498,
|
391 |
+
"grad_norm": 0.4114384055137634,
|
392 |
+
"learning_rate": 4.961256416490793e-06,
|
393 |
+
"loss": 0.8368,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.21262458471760798,
|
398 |
+
"grad_norm": 0.438700407743454,
|
399 |
+
"learning_rate": 4.9584474280756785e-06,
|
400 |
+
"loss": 1.1412,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.21642145230185098,
|
405 |
+
"grad_norm": 0.45085862278938293,
|
406 |
+
"learning_rate": 4.9555409949779695e-06,
|
407 |
+
"loss": 1.1312,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.22021831988609397,
|
412 |
+
"grad_norm": 0.4020615220069885,
|
413 |
+
"learning_rate": 4.952537232399012e-06,
|
414 |
+
"loss": 0.9898,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.22401518747033697,
|
419 |
+
"grad_norm": 0.43643948435783386,
|
420 |
+
"learning_rate": 4.9494362593979665e-06,
|
421 |
+
"loss": 1.1352,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.22781205505457996,
|
426 |
+
"grad_norm": 0.40290120244026184,
|
427 |
+
"learning_rate": 4.946238198887093e-06,
|
428 |
+
"loss": 0.9822,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.23160892263882296,
|
433 |
+
"grad_norm": 0.4434157609939575,
|
434 |
+
"learning_rate": 4.942943177626879e-06,
|
435 |
+
"loss": 1.1303,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.23540579022306596,
|
440 |
+
"grad_norm": 0.48527973890304565,
|
441 |
+
"learning_rate": 4.939551326221012e-06,
|
442 |
+
"loss": 1.2812,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.23920265780730898,
|
447 |
+
"grad_norm": 0.4416787028312683,
|
448 |
+
"learning_rate": 4.936062779111205e-06,
|
449 |
+
"loss": 1.1381,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.24299952539155198,
|
454 |
+
"grad_norm": 0.4510328769683838,
|
455 |
+
"learning_rate": 4.932477674571867e-06,
|
456 |
+
"loss": 1.2696,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.24679639297579498,
|
461 |
+
"grad_norm": 0.38020116090774536,
|
462 |
+
"learning_rate": 4.928796154704623e-06,
|
463 |
+
"loss": 0.9767,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.25059326056003794,
|
468 |
+
"grad_norm": 0.4880014657974243,
|
469 |
+
"learning_rate": 4.925018365432681e-06,
|
470 |
+
"loss": 1.2679,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.25439012814428097,
|
475 |
+
"grad_norm": 0.4506332576274872,
|
476 |
+
"learning_rate": 4.921144456495048e-06,
|
477 |
+
"loss": 1.1344,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.258186995728524,
|
482 |
+
"grad_norm": 0.45424792170524597,
|
483 |
+
"learning_rate": 4.9171745814405945e-06,
|
484 |
+
"loss": 1.2797,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.26198386331276696,
|
489 |
+
"grad_norm": 0.4969100058078766,
|
490 |
+
"learning_rate": 4.9131088976219695e-06,
|
491 |
+
"loss": 1.2685,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.26578073089701,
|
496 |
+
"grad_norm": 0.4142298400402069,
|
497 |
+
"learning_rate": 4.908947566189362e-06,
|
498 |
+
"loss": 1.1168,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.26957759848125296,
|
503 |
+
"grad_norm": 0.4250011444091797,
|
504 |
+
"learning_rate": 4.904690752084117e-06,
|
505 |
+
"loss": 1.1161,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.273374466065496,
|
510 |
+
"grad_norm": 0.4570682644844055,
|
511 |
+
"learning_rate": 4.900338624032191e-06,
|
512 |
+
"loss": 1.2663,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.27717133364973895,
|
517 |
+
"grad_norm": 0.43025946617126465,
|
518 |
+
"learning_rate": 4.895891354537472e-06,
|
519 |
+
"loss": 1.2616,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.280968201233982,
|
524 |
+
"grad_norm": 0.42482641339302063,
|
525 |
+
"learning_rate": 4.891349119874936e-06,
|
526 |
+
"loss": 1.1215,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.28476506881822494,
|
531 |
+
"grad_norm": 0.4691850244998932,
|
532 |
+
"learning_rate": 4.886712100083664e-06,
|
533 |
+
"loss": 1.1117,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.28856193640246797,
|
538 |
+
"grad_norm": 0.4500940442085266,
|
539 |
+
"learning_rate": 4.881980478959707e-06,
|
540 |
+
"loss": 1.1082,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.292358803986711,
|
545 |
+
"grad_norm": 0.3645106256008148,
|
546 |
+
"learning_rate": 4.877154444048792e-06,
|
547 |
+
"loss": 0.9683,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.29615567157095396,
|
552 |
+
"grad_norm": 0.42706671357154846,
|
553 |
+
"learning_rate": 4.872234186638898e-06,
|
554 |
+
"loss": 1.106,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.299952539155197,
|
559 |
+
"grad_norm": 0.416423499584198,
|
560 |
+
"learning_rate": 4.8672199017526725e-06,
|
561 |
+
"loss": 1.1109,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.30374940673943995,
|
566 |
+
"grad_norm": 0.46140867471694946,
|
567 |
+
"learning_rate": 4.862111788139697e-06,
|
568 |
+
"loss": 1.2646,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.307546274323683,
|
573 |
+
"grad_norm": 0.4429333508014679,
|
574 |
+
"learning_rate": 4.856910048268613e-06,
|
575 |
+
"loss": 1.1331,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.31134314190792595,
|
580 |
+
"grad_norm": 0.42622944712638855,
|
581 |
+
"learning_rate": 4.851614888319093e-06,
|
582 |
+
"loss": 1.0966,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.31514000949216897,
|
587 |
+
"grad_norm": 0.5261926054954529,
|
588 |
+
"learning_rate": 4.846226518173676e-06,
|
589 |
+
"loss": 1.2528,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.31893687707641194,
|
594 |
+
"grad_norm": 0.4338201880455017,
|
595 |
+
"learning_rate": 4.840745151409437e-06,
|
596 |
+
"loss": 1.2542,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.32273374466065496,
|
601 |
+
"grad_norm": 0.44151878356933594,
|
602 |
+
"learning_rate": 4.835171005289533e-06,
|
603 |
+
"loss": 1.1135,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.32653061224489793,
|
608 |
+
"grad_norm": 0.4812638461589813,
|
609 |
+
"learning_rate": 4.8295043007545836e-06,
|
610 |
+
"loss": 1.2653,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.33032747982914096,
|
615 |
+
"grad_norm": 0.562940239906311,
|
616 |
+
"learning_rate": 4.823745262413917e-06,
|
617 |
+
"loss": 1.2494,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.334124347413384,
|
622 |
+
"grad_norm": 0.4242718517780304,
|
623 |
+
"learning_rate": 4.817894118536667e-06,
|
624 |
+
"loss": 1.1076,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.33792121499762695,
|
629 |
+
"grad_norm": 0.45141878724098206,
|
630 |
+
"learning_rate": 4.811951101042722e-06,
|
631 |
+
"loss": 1.1108,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.34171808258187,
|
636 |
+
"grad_norm": 0.5067852139472961,
|
637 |
+
"learning_rate": 4.805916445493538e-06,
|
638 |
+
"loss": 1.2272,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.34551495016611294,
|
643 |
+
"grad_norm": 0.4855363965034485,
|
644 |
+
"learning_rate": 4.799790391082799e-06,
|
645 |
+
"loss": 1.1,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.34931181775035597,
|
650 |
+
"grad_norm": 0.47762539982795715,
|
651 |
+
"learning_rate": 4.793573180626934e-06,
|
652 |
+
"loss": 1.2453,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.35310868533459894,
|
657 |
+
"grad_norm": 0.5055530071258545,
|
658 |
+
"learning_rate": 4.787265060555495e-06,
|
659 |
+
"loss": 1.2437,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.35690555291884196,
|
664 |
+
"grad_norm": 0.4677724838256836,
|
665 |
+
"learning_rate": 4.7808662809013895e-06,
|
666 |
+
"loss": 1.223,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.36070242050308493,
|
671 |
+
"grad_norm": 0.47210943698883057,
|
672 |
+
"learning_rate": 4.774377095290969e-06,
|
673 |
+
"loss": 1.2287,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.36449928808732796,
|
678 |
+
"grad_norm": 0.48820409178733826,
|
679 |
+
"learning_rate": 4.76779776093398e-06,
|
680 |
+
"loss": 1.0997,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.368296155671571,
|
685 |
+
"grad_norm": 0.509981632232666,
|
686 |
+
"learning_rate": 4.761128538613359e-06,
|
687 |
+
"loss": 1.2303,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.37209302325581395,
|
692 |
+
"grad_norm": 0.46266815066337585,
|
693 |
+
"learning_rate": 4.754369692674906e-06,
|
694 |
+
"loss": 1.2366,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.375889890840057,
|
699 |
+
"grad_norm": 0.4689420759677887,
|
700 |
+
"learning_rate": 4.747521491016805e-06,
|
701 |
+
"loss": 1.2379,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.37968675842429994,
|
706 |
+
"grad_norm": 0.454712837934494,
|
707 |
+
"learning_rate": 4.740584205079002e-06,
|
708 |
+
"loss": 1.1078,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.38348362600854297,
|
713 |
+
"grad_norm": 0.5033725500106812,
|
714 |
+
"learning_rate": 4.7335581098324465e-06,
|
715 |
+
"loss": 1.2319,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.38728049359278593,
|
720 |
+
"grad_norm": 0.5276666283607483,
|
721 |
+
"learning_rate": 4.726443483768195e-06,
|
722 |
+
"loss": 1.2373,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.39107736117702896,
|
727 |
+
"grad_norm": 0.4005415737628937,
|
728 |
+
"learning_rate": 4.719240608886372e-06,
|
729 |
+
"loss": 0.9373,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.39487422876127193,
|
734 |
+
"grad_norm": 0.456887423992157,
|
735 |
+
"learning_rate": 4.711949770684989e-06,
|
736 |
+
"loss": 1.2402,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.39867109634551495,
|
741 |
+
"grad_norm": 0.4958035349845886,
|
742 |
+
"learning_rate": 4.704571258148634e-06,
|
743 |
+
"loss": 1.2327,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.402467963929758,
|
748 |
+
"grad_norm": 0.40182697772979736,
|
749 |
+
"learning_rate": 4.697105363737015e-06,
|
750 |
+
"loss": 0.9684,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.40626483151400095,
|
755 |
+
"grad_norm": 0.43226033449172974,
|
756 |
+
"learning_rate": 4.689552383373362e-06,
|
757 |
+
"loss": 1.0848,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.41006169909824397,
|
762 |
+
"grad_norm": 0.4296877682209015,
|
763 |
+
"learning_rate": 4.681912616432707e-06,
|
764 |
+
"loss": 0.9568,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.41385856668248694,
|
769 |
+
"grad_norm": 0.5179736018180847,
|
770 |
+
"learning_rate": 4.674186365730012e-06,
|
771 |
+
"loss": 1.2286,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.41765543426672996,
|
776 |
+
"grad_norm": 0.4191986620426178,
|
777 |
+
"learning_rate": 4.666373937508166e-06,
|
778 |
+
"loss": 0.9606,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.42145230185097293,
|
783 |
+
"grad_norm": 0.412567675113678,
|
784 |
+
"learning_rate": 4.658475641425854e-06,
|
785 |
+
"loss": 1.0793,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.42524916943521596,
|
790 |
+
"grad_norm": 0.4645300507545471,
|
791 |
+
"learning_rate": 4.6504917905452705e-06,
|
792 |
+
"loss": 1.0835,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.4290460370194589,
|
797 |
+
"grad_norm": 0.3561910092830658,
|
798 |
+
"learning_rate": 4.6424227013197235e-06,
|
799 |
+
"loss": 0.7952,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.43284290460370195,
|
804 |
+
"grad_norm": 0.5064642429351807,
|
805 |
+
"learning_rate": 4.6342686935810795e-06,
|
806 |
+
"loss": 1.2319,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.4366397721879449,
|
811 |
+
"grad_norm": 0.4808673858642578,
|
812 |
+
"learning_rate": 4.6260300905271e-06,
|
813 |
+
"loss": 1.223,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.44043663977218794,
|
818 |
+
"grad_norm": 0.4152892529964447,
|
819 |
+
"learning_rate": 4.617707218708617e-06,
|
820 |
+
"loss": 1.0765,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.44423350735643097,
|
825 |
+
"grad_norm": 0.49487704038619995,
|
826 |
+
"learning_rate": 4.6093004080166e-06,
|
827 |
+
"loss": 1.2205,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.44803037494067394,
|
832 |
+
"grad_norm": 0.4736645817756653,
|
833 |
+
"learning_rate": 4.600809991669076e-06,
|
834 |
+
"loss": 1.0811,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.45182724252491696,
|
839 |
+
"grad_norm": 0.46936193108558655,
|
840 |
+
"learning_rate": 4.59223630619792e-06,
|
841 |
+
"loss": 1.0809,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.45562411010915993,
|
846 |
+
"grad_norm": 0.4555075466632843,
|
847 |
+
"learning_rate": 4.5835796914355195e-06,
|
848 |
+
"loss": 1.1008,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.45942097769340295,
|
853 |
+
"grad_norm": 0.43824076652526855,
|
854 |
+
"learning_rate": 4.5748404905013045e-06,
|
855 |
+
"loss": 1.1092,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.4632178452776459,
|
860 |
+
"grad_norm": 0.4486856162548065,
|
861 |
+
"learning_rate": 4.5660190497881455e-06,
|
862 |
+
"loss": 1.0784,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.46701471286188895,
|
867 |
+
"grad_norm": 0.4244840145111084,
|
868 |
+
"learning_rate": 4.557115718948622e-06,
|
869 |
+
"loss": 0.958,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.4708115804461319,
|
874 |
+
"grad_norm": 0.4413922429084778,
|
875 |
+
"learning_rate": 4.548130850881171e-06,
|
876 |
+
"loss": 1.2196,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.47460844803037494,
|
881 |
+
"grad_norm": 0.4678729772567749,
|
882 |
+
"learning_rate": 4.53906480171609e-06,
|
883 |
+
"loss": 1.1124,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.47840531561461797,
|
888 |
+
"grad_norm": 0.48969003558158875,
|
889 |
+
"learning_rate": 4.529917930801427e-06,
|
890 |
+
"loss": 1.2281,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.48220218319886093,
|
895 |
+
"grad_norm": 0.4379821717739105,
|
896 |
+
"learning_rate": 4.520690600688734e-06,
|
897 |
+
"loss": 1.0849,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.48599905078310396,
|
902 |
+
"grad_norm": 0.4471890330314636,
|
903 |
+
"learning_rate": 4.5113831771187e-06,
|
904 |
+
"loss": 1.0791,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.4897959183673469,
|
909 |
+
"grad_norm": 0.49659088253974915,
|
910 |
+
"learning_rate": 4.501996029006651e-06,
|
911 |
+
"loss": 1.097,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.49359278595158995,
|
916 |
+
"grad_norm": 0.4094451665878296,
|
917 |
+
"learning_rate": 4.492529528427929e-06,
|
918 |
+
"loss": 0.972,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.4973896535358329,
|
923 |
+
"grad_norm": 0.4491405487060547,
|
924 |
+
"learning_rate": 4.4829840506031455e-06,
|
925 |
+
"loss": 1.0826,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.5011865211200759,
|
930 |
+
"grad_norm": 0.42457208037376404,
|
931 |
+
"learning_rate": 4.473359973883305e-06,
|
932 |
+
"loss": 1.1066,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.5049833887043189,
|
937 |
+
"grad_norm": 0.4856266379356384,
|
938 |
+
"learning_rate": 4.463657679734813e-06,
|
939 |
+
"loss": 1.225,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.5087802562885619,
|
944 |
+
"grad_norm": 0.47458940744400024,
|
945 |
+
"learning_rate": 4.453877552724352e-06,
|
946 |
+
"loss": 1.2234,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.512577123872805,
|
951 |
+
"grad_norm": 0.36578264832496643,
|
952 |
+
"learning_rate": 4.444019980503641e-06,
|
953 |
+
"loss": 0.9276,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.516373991457048,
|
958 |
+
"grad_norm": 0.4141775965690613,
|
959 |
+
"learning_rate": 4.4340853537940715e-06,
|
960 |
+
"loss": 1.0895,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5201708590412909,
|
965 |
+
"grad_norm": 0.4604395031929016,
|
966 |
+
"learning_rate": 4.424074066371216e-06,
|
967 |
+
"loss": 1.2279,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5239677266255339,
|
972 |
+
"grad_norm": 0.4443908929824829,
|
973 |
+
"learning_rate": 4.4139865150492235e-06,
|
974 |
+
"loss": 1.0862,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.527764594209777,
|
979 |
+
"grad_norm": 0.4457070529460907,
|
980 |
+
"learning_rate": 4.403823099665093e-06,
|
981 |
+
"loss": 1.2267,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.53156146179402,
|
986 |
+
"grad_norm": 0.4152843952178955,
|
987 |
+
"learning_rate": 4.393584223062819e-06,
|
988 |
+
"loss": 1.0827,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.5353583293782629,
|
993 |
+
"grad_norm": 0.42452365159988403,
|
994 |
+
"learning_rate": 4.38327029107743e-06,
|
995 |
+
"loss": 1.0743,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.5391551969625059,
|
1000 |
+
"grad_norm": 0.3921717703342438,
|
1001 |
+
"learning_rate": 4.372881712518898e-06,
|
1002 |
+
"loss": 0.9454,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5429520645467489,
|
1007 |
+
"grad_norm": 0.5372737646102905,
|
1008 |
+
"learning_rate": 4.362418899155941e-06,
|
1009 |
+
"loss": 1.227,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.546748932130992,
|
1014 |
+
"grad_norm": 0.5399878621101379,
|
1015 |
+
"learning_rate": 4.351882265699696e-06,
|
1016 |
+
"loss": 1.2155,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.550545799715235,
|
1021 |
+
"grad_norm": 0.44373106956481934,
|
1022 |
+
"learning_rate": 4.341272229787281e-06,
|
1023 |
+
"loss": 1.0809,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.5543426672994779,
|
1028 |
+
"grad_norm": 0.4626406133174896,
|
1029 |
+
"learning_rate": 4.330589211965246e-06,
|
1030 |
+
"loss": 1.2145,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.5581395348837209,
|
1035 |
+
"grad_norm": 0.4238491356372833,
|
1036 |
+
"learning_rate": 4.319833635672899e-06,
|
1037 |
+
"loss": 1.0835,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.561936402467964,
|
1042 |
+
"grad_norm": 0.5245795249938965,
|
1043 |
+
"learning_rate": 4.309005927225528e-06,
|
1044 |
+
"loss": 1.222,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.565733270052207,
|
1049 |
+
"grad_norm": 0.43987414240837097,
|
1050 |
+
"learning_rate": 4.2981065157974955e-06,
|
1051 |
+
"loss": 0.9477,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.5695301376364499,
|
1056 |
+
"grad_norm": 0.4053569734096527,
|
1057 |
+
"learning_rate": 4.287135833405235e-06,
|
1058 |
+
"loss": 1.0717,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.5733270052206929,
|
1063 |
+
"grad_norm": 0.411527544260025,
|
1064 |
+
"learning_rate": 4.276094314890122e-06,
|
1065 |
+
"loss": 0.9402,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.5771238728049359,
|
1070 |
+
"grad_norm": 0.5262433290481567,
|
1071 |
+
"learning_rate": 4.2649823979012424e-06,
|
1072 |
+
"loss": 1.2261,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.580920740389179,
|
1077 |
+
"grad_norm": 0.44064462184906006,
|
1078 |
+
"learning_rate": 4.253800522878043e-06,
|
1079 |
+
"loss": 1.0823,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.584717607973422,
|
1084 |
+
"grad_norm": 0.4491995871067047,
|
1085 |
+
"learning_rate": 4.242549133032872e-06,
|
1086 |
+
"loss": 1.2246,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.5885144755576649,
|
1091 |
+
"grad_norm": 0.44037237763404846,
|
1092 |
+
"learning_rate": 4.2312286743334174e-06,
|
1093 |
+
"loss": 1.08,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.5923113431419079,
|
1098 |
+
"grad_norm": 0.4179958701133728,
|
1099 |
+
"learning_rate": 4.219839595485026e-06,
|
1100 |
+
"loss": 1.0792,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.5961082107261509,
|
1105 |
+
"grad_norm": 0.4985540509223938,
|
1106 |
+
"learning_rate": 4.2083823479129175e-06,
|
1107 |
+
"loss": 1.2162,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.599905078310394,
|
1112 |
+
"grad_norm": 0.43255966901779175,
|
1113 |
+
"learning_rate": 4.196857385744295e-06,
|
1114 |
+
"loss": 1.0821,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.6037019458946369,
|
1119 |
+
"grad_norm": 0.38958489894866943,
|
1120 |
+
"learning_rate": 4.185265165790343e-06,
|
1121 |
+
"loss": 0.93,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.6074988134788799,
|
1126 |
+
"grad_norm": 0.43625640869140625,
|
1127 |
+
"learning_rate": 4.17360614752812e-06,
|
1128 |
+
"loss": 1.0673,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.6112956810631229,
|
1133 |
+
"grad_norm": 0.3636965751647949,
|
1134 |
+
"learning_rate": 4.161880793082348e-06,
|
1135 |
+
"loss": 0.9311,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.615092548647366,
|
1140 |
+
"grad_norm": 0.41958415508270264,
|
1141 |
+
"learning_rate": 4.150089567207094e-06,
|
1142 |
+
"loss": 0.9723,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.6188894162316089,
|
1147 |
+
"grad_norm": 0.4178905189037323,
|
1148 |
+
"learning_rate": 4.138232937267351e-06,
|
1149 |
+
"loss": 0.9489,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.6226862838158519,
|
1154 |
+
"grad_norm": 0.4551599621772766,
|
1155 |
+
"learning_rate": 4.126311373220511e-06,
|
1156 |
+
"loss": 1.0803,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.6264831514000949,
|
1161 |
+
"grad_norm": 0.3745613992214203,
|
1162 |
+
"learning_rate": 4.114325347597736e-06,
|
1163 |
+
"loss": 0.9532,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6302800189843379,
|
1168 |
+
"grad_norm": 0.4355705976486206,
|
1169 |
+
"learning_rate": 4.102275335485234e-06,
|
1170 |
+
"loss": 1.2055,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.634076886568581,
|
1175 |
+
"grad_norm": 0.43142765760421753,
|
1176 |
+
"learning_rate": 4.0901618145054246e-06,
|
1177 |
+
"loss": 1.216,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6378737541528239,
|
1182 |
+
"grad_norm": 0.3976465165615082,
|
1183 |
+
"learning_rate": 4.077985264798004e-06,
|
1184 |
+
"loss": 0.9956,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.6416706217370669,
|
1189 |
+
"grad_norm": 0.4292868375778198,
|
1190 |
+
"learning_rate": 4.06574616900092e-06,
|
1191 |
+
"loss": 1.0555,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.6454674893213099,
|
1196 |
+
"grad_norm": 0.5177546143531799,
|
1197 |
+
"learning_rate": 4.053445012231241e-06,
|
1198 |
+
"loss": 1.2066,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.649264356905553,
|
1203 |
+
"grad_norm": 0.41628462076187134,
|
1204 |
+
"learning_rate": 4.041082282065922e-06,
|
1205 |
+
"loss": 1.21,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.6530612244897959,
|
1210 |
+
"grad_norm": 0.44618961215019226,
|
1211 |
+
"learning_rate": 4.028658468522489e-06,
|
1212 |
+
"loss": 1.2193,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.6568580920740389,
|
1217 |
+
"grad_norm": 0.44253483414649963,
|
1218 |
+
"learning_rate": 4.016174064039602e-06,
|
1219 |
+
"loss": 1.2155,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.6606549596582819,
|
1224 |
+
"grad_norm": 0.3929227292537689,
|
1225 |
+
"learning_rate": 4.003629563457551e-06,
|
1226 |
+
"loss": 1.0683,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.6644518272425249,
|
1231 |
+
"grad_norm": 0.5715161561965942,
|
1232 |
+
"learning_rate": 3.991025463998632e-06,
|
1233 |
+
"loss": 1.2264,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.668248694826768,
|
1238 |
+
"grad_norm": 0.4098718762397766,
|
1239 |
+
"learning_rate": 3.978362265247444e-06,
|
1240 |
+
"loss": 1.0723,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.6720455624110109,
|
1245 |
+
"grad_norm": 0.4266994595527649,
|
1246 |
+
"learning_rate": 3.965640469131084e-06,
|
1247 |
+
"loss": 1.0663,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.6758424299952539,
|
1252 |
+
"grad_norm": 0.379220187664032,
|
1253 |
+
"learning_rate": 3.952860579899257e-06,
|
1254 |
+
"loss": 0.9418,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.6796392975794969,
|
1259 |
+
"grad_norm": 0.3946760594844818,
|
1260 |
+
"learning_rate": 3.940023104104281e-06,
|
1261 |
+
"loss": 1.0605,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.68343616516374,
|
1266 |
+
"grad_norm": 0.47356459498405457,
|
1267 |
+
"learning_rate": 3.9271285505810185e-06,
|
1268 |
+
"loss": 1.0615,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.6872330327479829,
|
1273 |
+
"grad_norm": 0.4356970489025116,
|
1274 |
+
"learning_rate": 3.9141774304267e-06,
|
1275 |
+
"loss": 1.0714,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.6910299003322259,
|
1280 |
+
"grad_norm": 0.4237845540046692,
|
1281 |
+
"learning_rate": 3.9011702569806716e-06,
|
1282 |
+
"loss": 1.0862,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.6948267679164689,
|
1287 |
+
"grad_norm": 0.4926426410675049,
|
1288 |
+
"learning_rate": 3.888107545804043e-06,
|
1289 |
+
"loss": 1.2091,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.6986236355007119,
|
1294 |
+
"grad_norm": 0.43669024109840393,
|
1295 |
+
"learning_rate": 3.874989814659258e-06,
|
1296 |
+
"loss": 1.0805,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.702420503084955,
|
1301 |
+
"grad_norm": 0.435596227645874,
|
1302 |
+
"learning_rate": 3.861817583489566e-06,
|
1303 |
+
"loss": 1.2199,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.7062173706691979,
|
1308 |
+
"grad_norm": 0.407825231552124,
|
1309 |
+
"learning_rate": 3.848591374398421e-06,
|
1310 |
+
"loss": 1.1038,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.7100142382534409,
|
1315 |
+
"grad_norm": 0.41674646735191345,
|
1316 |
+
"learning_rate": 3.835311711628774e-06,
|
1317 |
+
"loss": 1.0718,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.7138111058376839,
|
1322 |
+
"grad_norm": 0.4335026144981384,
|
1323 |
+
"learning_rate": 3.82197912154231e-06,
|
1324 |
+
"loss": 1.0727,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.717607973421927,
|
1329 |
+
"grad_norm": 0.47680917382240295,
|
1330 |
+
"learning_rate": 3.808594132598574e-06,
|
1331 |
+
"loss": 1.2056,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.7214048410061699,
|
1336 |
+
"grad_norm": 0.38044315576553345,
|
1337 |
+
"learning_rate": 3.7951572753340273e-06,
|
1338 |
+
"loss": 0.9217,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.7252017085904129,
|
1343 |
+
"grad_norm": 0.4642685353755951,
|
1344 |
+
"learning_rate": 3.781669082341018e-06,
|
1345 |
+
"loss": 1.071,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.7289985761746559,
|
1350 |
+
"grad_norm": 0.4392843544483185,
|
1351 |
+
"learning_rate": 3.768130088246674e-06,
|
1352 |
+
"loss": 1.2135,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.7327954437588989,
|
1357 |
+
"grad_norm": 0.4412919580936432,
|
1358 |
+
"learning_rate": 3.7545408296917087e-06,
|
1359 |
+
"loss": 1.2025,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.736592311343142,
|
1364 |
+
"grad_norm": 0.4227074682712555,
|
1365 |
+
"learning_rate": 3.740901845309152e-06,
|
1366 |
+
"loss": 1.0674,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.7403891789273849,
|
1371 |
+
"grad_norm": 0.45686036348342896,
|
1372 |
+
"learning_rate": 3.727213675703e-06,
|
1373 |
+
"loss": 1.2151,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7441860465116279,
|
1378 |
+
"grad_norm": 0.4000316262245178,
|
1379 |
+
"learning_rate": 3.713476863426787e-06,
|
1380 |
+
"loss": 1.0748,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.7479829140958709,
|
1385 |
+
"grad_norm": 0.42302843928337097,
|
1386 |
+
"learning_rate": 3.699691952962083e-06,
|
1387 |
+
"loss": 1.0892,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.751779781680114,
|
1392 |
+
"grad_norm": 0.4179258644580841,
|
1393 |
+
"learning_rate": 3.6858594906969073e-06,
|
1394 |
+
"loss": 1.0626,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.7555766492643569,
|
1399 |
+
"grad_norm": 0.4555260241031647,
|
1400 |
+
"learning_rate": 3.6719800249040778e-06,
|
1401 |
+
"loss": 1.2077,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.7593735168485999,
|
1406 |
+
"grad_norm": 0.36426669359207153,
|
1407 |
+
"learning_rate": 3.6580541057194728e-06,
|
1408 |
+
"loss": 0.944,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.7631703844328429,
|
1413 |
+
"grad_norm": 0.3654433786869049,
|
1414 |
+
"learning_rate": 3.6440822851202312e-06,
|
1415 |
+
"loss": 0.9322,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.7669672520170859,
|
1420 |
+
"grad_norm": 0.49382278323173523,
|
1421 |
+
"learning_rate": 3.63006511690287e-06,
|
1422 |
+
"loss": 1.2109,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.770764119601329,
|
1427 |
+
"grad_norm": 0.4325428307056427,
|
1428 |
+
"learning_rate": 3.616003156661334e-06,
|
1429 |
+
"loss": 1.0696,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.7745609871855719,
|
1434 |
+
"grad_norm": 0.4158753454685211,
|
1435 |
+
"learning_rate": 3.6018969617649784e-06,
|
1436 |
+
"loss": 1.0642,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.7783578547698149,
|
1441 |
+
"grad_norm": 0.4324316382408142,
|
1442 |
+
"learning_rate": 3.5877470913364697e-06,
|
1443 |
+
"loss": 1.2037,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.7821547223540579,
|
1448 |
+
"grad_norm": 0.46198171377182007,
|
1449 |
+
"learning_rate": 3.5735541062296287e-06,
|
1450 |
+
"loss": 1.0685,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.7859515899383009,
|
1455 |
+
"grad_norm": 0.43740782141685486,
|
1456 |
+
"learning_rate": 3.559318569007198e-06,
|
1457 |
+
"loss": 0.9377,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.7897484575225439,
|
1462 |
+
"grad_norm": 0.4424276351928711,
|
1463 |
+
"learning_rate": 3.545041043918546e-06,
|
1464 |
+
"loss": 1.2036,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.7935453251067869,
|
1469 |
+
"grad_norm": 0.4607738256454468,
|
1470 |
+
"learning_rate": 3.5307220968772983e-06,
|
1471 |
+
"loss": 1.2091,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.7973421926910299,
|
1476 |
+
"grad_norm": 0.4169575273990631,
|
1477 |
+
"learning_rate": 3.516362295438911e-06,
|
1478 |
+
"loss": 1.0704,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.8011390602752729,
|
1483 |
+
"grad_norm": 0.5177940130233765,
|
1484 |
+
"learning_rate": 3.501962208778172e-06,
|
1485 |
+
"loss": 1.2059,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.804935927859516,
|
1490 |
+
"grad_norm": 0.4142232835292816,
|
1491 |
+
"learning_rate": 3.487522407666641e-06,
|
1492 |
+
"loss": 1.0769,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.8087327954437589,
|
1497 |
+
"grad_norm": 0.4076462984085083,
|
1498 |
+
"learning_rate": 3.473043464450027e-06,
|
1499 |
+
"loss": 1.0677,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.8125296630280019,
|
1504 |
+
"grad_norm": 0.5051140785217285,
|
1505 |
+
"learning_rate": 3.458525953025503e-06,
|
1506 |
+
"loss": 1.0704,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.8163265306122449,
|
1511 |
+
"grad_norm": 0.37081989645957947,
|
1512 |
+
"learning_rate": 3.443970448818954e-06,
|
1513 |
+
"loss": 0.9524,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.8201233981964879,
|
1518 |
+
"grad_norm": 0.3888426423072815,
|
1519 |
+
"learning_rate": 3.429377528762177e-06,
|
1520 |
+
"loss": 1.0749,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.8239202657807309,
|
1525 |
+
"grad_norm": 0.49155759811401367,
|
1526 |
+
"learning_rate": 3.414747771270007e-06,
|
1527 |
+
"loss": 1.2125,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.8277171333649739,
|
1532 |
+
"grad_norm": 0.38015004992485046,
|
1533 |
+
"learning_rate": 3.40008175621739e-06,
|
1534 |
+
"loss": 1.0571,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.8315140009492169,
|
1539 |
+
"grad_norm": 0.4071613848209381,
|
1540 |
+
"learning_rate": 3.3853800649164053e-06,
|
1541 |
+
"loss": 1.053,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.8353108685334599,
|
1546 |
+
"grad_norm": 0.42250776290893555,
|
1547 |
+
"learning_rate": 3.3706432800932184e-06,
|
1548 |
+
"loss": 1.0685,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.8391077361177028,
|
1553 |
+
"grad_norm": 0.431573748588562,
|
1554 |
+
"learning_rate": 3.3558719858649835e-06,
|
1555 |
+
"loss": 1.0752,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.8429046037019459,
|
1560 |
+
"grad_norm": 0.46120485663414,
|
1561 |
+
"learning_rate": 3.341066767716697e-06,
|
1562 |
+
"loss": 1.2063,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.8467014712861889,
|
1567 |
+
"grad_norm": 0.4283529818058014,
|
1568 |
+
"learning_rate": 3.3262282124779823e-06,
|
1569 |
+
"loss": 1.0799,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.8504983388704319,
|
1574 |
+
"grad_norm": 0.37570565938949585,
|
1575 |
+
"learning_rate": 3.3113569082998367e-06,
|
1576 |
+
"loss": 1.0655,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.8542952064546749,
|
1581 |
+
"grad_norm": 0.2539384663105011,
|
1582 |
+
"learning_rate": 3.2964534446313163e-06,
|
1583 |
+
"loss": 0.4994,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.8580920740389179,
|
1588 |
+
"grad_norm": 0.4729446470737457,
|
1589 |
+
"learning_rate": 3.2815184121961725e-06,
|
1590 |
+
"loss": 1.2129,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.8618889416231609,
|
1595 |
+
"grad_norm": 0.3342674672603607,
|
1596 |
+
"learning_rate": 3.266552402969437e-06,
|
1597 |
+
"loss": 0.7854,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.8656858092074039,
|
1602 |
+
"grad_norm": 0.45071637630462646,
|
1603 |
+
"learning_rate": 3.251556010153958e-06,
|
1604 |
+
"loss": 1.2061,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.8694826767916469,
|
1609 |
+
"grad_norm": 0.4373473525047302,
|
1610 |
+
"learning_rate": 3.2365298281568913e-06,
|
1611 |
+
"loss": 1.0659,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.8732795443758898,
|
1616 |
+
"grad_norm": 0.42635422945022583,
|
1617 |
+
"learning_rate": 3.2214744525661336e-06,
|
1618 |
+
"loss": 1.2066,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.8770764119601329,
|
1623 |
+
"grad_norm": 0.45856305956840515,
|
1624 |
+
"learning_rate": 3.2063904801267184e-06,
|
1625 |
+
"loss": 1.1959,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.8808732795443759,
|
1630 |
+
"grad_norm": 0.4771096408367157,
|
1631 |
+
"learning_rate": 3.191278508717166e-06,
|
1632 |
+
"loss": 1.2025,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.8846701471286189,
|
1637 |
+
"grad_norm": 0.4655088484287262,
|
1638 |
+
"learning_rate": 3.176139137325781e-06,
|
1639 |
+
"loss": 1.2094,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.8884670147128619,
|
1644 |
+
"grad_norm": 0.39348939061164856,
|
1645 |
+
"learning_rate": 3.1609729660269114e-06,
|
1646 |
+
"loss": 1.0672,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.8922638822971048,
|
1651 |
+
"grad_norm": 0.445089727640152,
|
1652 |
+
"learning_rate": 3.1457805959571663e-06,
|
1653 |
+
"loss": 1.1994,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.8960607498813479,
|
1658 |
+
"grad_norm": 0.3999580144882202,
|
1659 |
+
"learning_rate": 3.130562629291586e-06,
|
1660 |
+
"loss": 1.0561,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.8998576174655909,
|
1665 |
+
"grad_norm": 0.4471660554409027,
|
1666 |
+
"learning_rate": 3.1153196692197747e-06,
|
1667 |
+
"loss": 1.0674,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.9036544850498339,
|
1672 |
+
"grad_norm": 0.4131118655204773,
|
1673 |
+
"learning_rate": 3.100052319921992e-06,
|
1674 |
+
"loss": 0.9328,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.9074513526340768,
|
1679 |
+
"grad_norm": 0.4657612144947052,
|
1680 |
+
"learning_rate": 3.0847611865452064e-06,
|
1681 |
+
"loss": 1.2085,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.9112482202183199,
|
1686 |
+
"grad_norm": 0.4662039577960968,
|
1687 |
+
"learning_rate": 3.069446875179106e-06,
|
1688 |
+
"loss": 1.2029,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.9150450878025629,
|
1693 |
+
"grad_norm": 0.41623374819755554,
|
1694 |
+
"learning_rate": 3.0541099928320806e-06,
|
1695 |
+
"loss": 0.9324,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.9188419553868059,
|
1700 |
+
"grad_norm": 0.4404604434967041,
|
1701 |
+
"learning_rate": 3.0387511474071556e-06,
|
1702 |
+
"loss": 1.0648,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.9226388229710489,
|
1707 |
+
"grad_norm": 0.3622177243232727,
|
1708 |
+
"learning_rate": 3.023370947677901e-06,
|
1709 |
+
"loss": 0.9238,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.9264356905552918,
|
1714 |
+
"grad_norm": 0.4089031517505646,
|
1715 |
+
"learning_rate": 3.007970003264301e-06,
|
1716 |
+
"loss": 1.0869,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.9302325581395349,
|
1721 |
+
"grad_norm": 0.4477076232433319,
|
1722 |
+
"learning_rate": 2.99254892460859e-06,
|
1723 |
+
"loss": 1.1983,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.9340294257237779,
|
1728 |
+
"grad_norm": 0.46868517994880676,
|
1729 |
+
"learning_rate": 2.9771083229510543e-06,
|
1730 |
+
"loss": 1.1963,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.9378262933080209,
|
1735 |
+
"grad_norm": 0.3464803397655487,
|
1736 |
+
"learning_rate": 2.9616488103058115e-06,
|
1737 |
+
"loss": 0.9272,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.9416231608922638,
|
1742 |
+
"grad_norm": 0.45595675706863403,
|
1743 |
+
"learning_rate": 2.9461709994365445e-06,
|
1744 |
+
"loss": 1.2056,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.9454200284765069,
|
1749 |
+
"grad_norm": 0.39231353998184204,
|
1750 |
+
"learning_rate": 2.930675503832217e-06,
|
1751 |
+
"loss": 1.0618,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.9492168960607499,
|
1756 |
+
"grad_norm": 0.3708343505859375,
|
1757 |
+
"learning_rate": 2.91516293768276e-06,
|
1758 |
+
"loss": 0.9102,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.9530137636449929,
|
1763 |
+
"grad_norm": 0.4427671432495117,
|
1764 |
+
"learning_rate": 2.899633915854721e-06,
|
1765 |
+
"loss": 1.2012,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.9568106312292359,
|
1770 |
+
"grad_norm": 0.33957725763320923,
|
1771 |
+
"learning_rate": 2.8840890538668955e-06,
|
1772 |
+
"loss": 0.8041,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.9606074988134788,
|
1777 |
+
"grad_norm": 0.3556421995162964,
|
1778 |
+
"learning_rate": 2.868528967865934e-06,
|
1779 |
+
"loss": 0.9198,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.9644043663977219,
|
1784 |
+
"grad_norm": 0.4399990439414978,
|
1785 |
+
"learning_rate": 2.8529542746019118e-06,
|
1786 |
+
"loss": 1.1998,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.9682012339819649,
|
1791 |
+
"grad_norm": 0.4560842514038086,
|
1792 |
+
"learning_rate": 2.8373655914038907e-06,
|
1793 |
+
"loss": 1.2007,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.9719981015662079,
|
1798 |
+
"grad_norm": 0.38949334621429443,
|
1799 |
+
"learning_rate": 2.821763536155446e-06,
|
1800 |
+
"loss": 1.0533,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.9757949691504508,
|
1805 |
+
"grad_norm": 0.40262502431869507,
|
1806 |
+
"learning_rate": 2.806148727270176e-06,
|
1807 |
+
"loss": 1.0585,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.9795918367346939,
|
1812 |
+
"grad_norm": 0.4113542139530182,
|
1813 |
+
"learning_rate": 2.7905217836671915e-06,
|
1814 |
+
"loss": 1.0601,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.9833887043189369,
|
1819 |
+
"grad_norm": 0.39467111229896545,
|
1820 |
+
"learning_rate": 2.774883324746583e-06,
|
1821 |
+
"loss": 1.0627,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.9871855719031799,
|
1826 |
+
"grad_norm": 0.4230286180973053,
|
1827 |
+
"learning_rate": 2.7592339703648696e-06,
|
1828 |
+
"loss": 1.2039,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.9909824394874229,
|
1833 |
+
"grad_norm": 0.3624156415462494,
|
1834 |
+
"learning_rate": 2.743574340810431e-06,
|
1835 |
+
"loss": 0.9253,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.9947793070716658,
|
1840 |
+
"grad_norm": 0.45184388756752014,
|
1841 |
+
"learning_rate": 2.7279050567789195e-06,
|
1842 |
+
"loss": 1.1943,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.9985761746559089,
|
1847 |
+
"grad_norm": 0.43259841203689575,
|
1848 |
+
"learning_rate": 2.7122267393486605e-06,
|
1849 |
+
"loss": 1.2086,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.0023730422401518,
|
1854 |
+
"grad_norm": 0.7363314628601074,
|
1855 |
+
"learning_rate": 2.6965400099560305e-06,
|
1856 |
+
"loss": 1.9312,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 1.0061699098243948,
|
1861 |
+
"grad_norm": 0.42088714241981506,
|
1862 |
+
"learning_rate": 2.6808454903708313e-06,
|
1863 |
+
"loss": 1.0671,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 1.0099667774086378,
|
1868 |
+
"grad_norm": 0.47700321674346924,
|
1869 |
+
"learning_rate": 2.66514380267164e-06,
|
1870 |
+
"loss": 1.2008,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.0137636449928809,
|
1875 |
+
"grad_norm": 0.40473899245262146,
|
1876 |
+
"learning_rate": 2.6494355692211537e-06,
|
1877 |
+
"loss": 1.0598,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 1.0175605125771239,
|
1882 |
+
"grad_norm": 0.40599343180656433,
|
1883 |
+
"learning_rate": 2.6337214126415237e-06,
|
1884 |
+
"loss": 1.0582,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 1.021357380161367,
|
1889 |
+
"grad_norm": 0.49867045879364014,
|
1890 |
+
"learning_rate": 2.6180019557896725e-06,
|
1891 |
+
"loss": 1.1879,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.02515424774561,
|
1896 |
+
"grad_norm": 0.432919442653656,
|
1897 |
+
"learning_rate": 2.6022778217326077e-06,
|
1898 |
+
"loss": 1.1843,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 1.028951115329853,
|
1903 |
+
"grad_norm": 0.40411439538002014,
|
1904 |
+
"learning_rate": 2.586549633722726e-06,
|
1905 |
+
"loss": 1.2015,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 1.032747982914096,
|
1910 |
+
"grad_norm": 0.4091154932975769,
|
1911 |
+
"learning_rate": 2.5708180151731105e-06,
|
1912 |
+
"loss": 1.0366,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.0365448504983388,
|
1917 |
+
"grad_norm": 0.41487744450569153,
|
1918 |
+
"learning_rate": 2.555083589632818e-06,
|
1919 |
+
"loss": 1.0597,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 1.0403417180825818,
|
1924 |
+
"grad_norm": 0.43414047360420227,
|
1925 |
+
"learning_rate": 2.5393469807621646e-06,
|
1926 |
+
"loss": 1.1722,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 1.0441385856668248,
|
1931 |
+
"grad_norm": 0.43517452478408813,
|
1932 |
+
"learning_rate": 2.523608812308009e-06,
|
1933 |
+
"loss": 1.1897,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.0479354532510678,
|
1938 |
+
"grad_norm": 0.41618216037750244,
|
1939 |
+
"learning_rate": 2.5078697080790248e-06,
|
1940 |
+
"loss": 1.0384,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 1.0517323208353109,
|
1945 |
+
"grad_norm": 0.3956233561038971,
|
1946 |
+
"learning_rate": 2.4921302919209765e-06,
|
1947 |
+
"loss": 1.0523,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 1.055529188419554,
|
1952 |
+
"grad_norm": 0.3869052231311798,
|
1953 |
+
"learning_rate": 2.476391187691992e-06,
|
1954 |
+
"loss": 1.0695,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.059326056003797,
|
1959 |
+
"grad_norm": 0.38108527660369873,
|
1960 |
+
"learning_rate": 2.4606530192378358e-06,
|
1961 |
+
"loss": 0.9268,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 1.06312292358804,
|
1966 |
+
"grad_norm": 0.40593841671943665,
|
1967 |
+
"learning_rate": 2.4449164103671834e-06,
|
1968 |
+
"loss": 1.0487,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 1.0669197911722827,
|
1973 |
+
"grad_norm": 0.35500654578208923,
|
1974 |
+
"learning_rate": 2.4291819848268908e-06,
|
1975 |
+
"loss": 0.9251,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.0707166587565258,
|
1980 |
+
"grad_norm": 0.40299785137176514,
|
1981 |
+
"learning_rate": 2.4134503662772754e-06,
|
1982 |
+
"loss": 1.0533,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 1.0745135263407688,
|
1987 |
+
"grad_norm": 0.43219995498657227,
|
1988 |
+
"learning_rate": 2.3977221782673936e-06,
|
1989 |
+
"loss": 1.1866,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 1.0783103939250118,
|
1994 |
+
"grad_norm": 0.45522886514663696,
|
1995 |
+
"learning_rate": 2.3819980442103288e-06,
|
1996 |
+
"loss": 1.2028,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 1.0821072615092548,
|
2001 |
+
"grad_norm": 0.4167502522468567,
|
2002 |
+
"learning_rate": 2.3662785873584775e-06,
|
2003 |
+
"loss": 1.0328,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 1.0859041290934979,
|
2008 |
+
"grad_norm": 0.402190238237381,
|
2009 |
+
"learning_rate": 2.350564430778847e-06,
|
2010 |
+
"loss": 1.0613,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 1.089700996677741,
|
2015 |
+
"grad_norm": 0.36273133754730225,
|
2016 |
+
"learning_rate": 2.3348561973283613e-06,
|
2017 |
+
"loss": 0.9201,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.093497864261984,
|
2022 |
+
"grad_norm": 0.41140493750572205,
|
2023 |
+
"learning_rate": 2.31915450962917e-06,
|
2024 |
+
"loss": 1.0598,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 1.097294731846227,
|
2029 |
+
"grad_norm": 0.3959132730960846,
|
2030 |
+
"learning_rate": 2.3034599900439703e-06,
|
2031 |
+
"loss": 1.0547,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 1.10109159943047,
|
2036 |
+
"grad_norm": 0.43085983395576477,
|
2037 |
+
"learning_rate": 2.2877732606513407e-06,
|
2038 |
+
"loss": 1.1836,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 1.1048884670147128,
|
2043 |
+
"grad_norm": 0.37919700145721436,
|
2044 |
+
"learning_rate": 2.2720949432210813e-06,
|
2045 |
+
"loss": 1.0431,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 1.1086853345989558,
|
2050 |
+
"grad_norm": 0.3869677186012268,
|
2051 |
+
"learning_rate": 2.2564256591895695e-06,
|
2052 |
+
"loss": 0.9199,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 1.1124822021831988,
|
2057 |
+
"grad_norm": 0.40192729234695435,
|
2058 |
+
"learning_rate": 2.2407660296351313e-06,
|
2059 |
+
"loss": 0.9259,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 1.1162790697674418,
|
2064 |
+
"grad_norm": 0.41164687275886536,
|
2065 |
+
"learning_rate": 2.225116675253418e-06,
|
2066 |
+
"loss": 1.0489,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 1.1200759373516849,
|
2071 |
+
"grad_norm": 0.3917531371116638,
|
2072 |
+
"learning_rate": 2.209478216332809e-06,
|
2073 |
+
"loss": 1.0493,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 1.123872804935928,
|
2078 |
+
"grad_norm": 0.3413256108760834,
|
2079 |
+
"learning_rate": 2.193851272729825e-06,
|
2080 |
+
"loss": 0.9091,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 1.127669672520171,
|
2085 |
+
"grad_norm": 0.4337766170501709,
|
2086 |
+
"learning_rate": 2.1782364638445545e-06,
|
2087 |
+
"loss": 1.191,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 1.131466540104414,
|
2092 |
+
"grad_norm": 0.42421215772628784,
|
2093 |
+
"learning_rate": 2.16263440859611e-06,
|
2094 |
+
"loss": 1.1943,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 1.1352634076886567,
|
2099 |
+
"grad_norm": 0.38704779744148254,
|
2100 |
+
"learning_rate": 2.1470457253980887e-06,
|
2101 |
+
"loss": 1.1828,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.1390602752728998,
|
2106 |
+
"grad_norm": 0.38762617111206055,
|
2107 |
+
"learning_rate": 2.131471032134067e-06,
|
2108 |
+
"loss": 1.0479,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 1.1428571428571428,
|
2113 |
+
"grad_norm": 0.3805724084377289,
|
2114 |
+
"learning_rate": 2.115910946133105e-06,
|
2115 |
+
"loss": 1.049,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 1.1466540104413858,
|
2120 |
+
"grad_norm": 0.38618871569633484,
|
2121 |
+
"learning_rate": 2.10036608414528e-06,
|
2122 |
+
"loss": 1.0566,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 1.1504508780256288,
|
2127 |
+
"grad_norm": 0.32153603434562683,
|
2128 |
+
"learning_rate": 2.084837062317241e-06,
|
2129 |
+
"loss": 0.7648,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 1.1542477456098719,
|
2134 |
+
"grad_norm": 0.4316171109676361,
|
2135 |
+
"learning_rate": 2.0693244961677834e-06,
|
2136 |
+
"loss": 1.183,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 1.158044613194115,
|
2141 |
+
"grad_norm": 0.3866140842437744,
|
2142 |
+
"learning_rate": 2.0538290005634564e-06,
|
2143 |
+
"loss": 1.1986,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 1.161841480778358,
|
2148 |
+
"grad_norm": 0.41327404975891113,
|
2149 |
+
"learning_rate": 2.0383511896941894e-06,
|
2150 |
+
"loss": 1.1974,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 1.165638348362601,
|
2155 |
+
"grad_norm": 0.37834978103637695,
|
2156 |
+
"learning_rate": 2.0228916770489466e-06,
|
2157 |
+
"loss": 1.0443,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 1.169435215946844,
|
2162 |
+
"grad_norm": 0.41474854946136475,
|
2163 |
+
"learning_rate": 2.0074510753914113e-06,
|
2164 |
+
"loss": 1.1803,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 1.1732320835310868,
|
2169 |
+
"grad_norm": 0.3727324306964874,
|
2170 |
+
"learning_rate": 1.9920299967356995e-06,
|
2171 |
+
"loss": 1.055,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 1.1770289511153298,
|
2176 |
+
"grad_norm": 0.40379658341407776,
|
2177 |
+
"learning_rate": 1.9766290523220997e-06,
|
2178 |
+
"loss": 1.2038,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 1.1808258186995728,
|
2183 |
+
"grad_norm": 0.39679378271102905,
|
2184 |
+
"learning_rate": 1.9612488525928453e-06,
|
2185 |
+
"loss": 1.1826,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 1.1846226862838158,
|
2190 |
+
"grad_norm": 0.4498043954372406,
|
2191 |
+
"learning_rate": 1.94589000716792e-06,
|
2192 |
+
"loss": 1.1875,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 1.1884195538680589,
|
2197 |
+
"grad_norm": 0.41798946261405945,
|
2198 |
+
"learning_rate": 1.9305531248208948e-06,
|
2199 |
+
"loss": 1.1847,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 1.1922164214523019,
|
2204 |
+
"grad_norm": 0.42096462845802307,
|
2205 |
+
"learning_rate": 1.9152388134547944e-06,
|
2206 |
+
"loss": 1.059,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 1.196013289036545,
|
2211 |
+
"grad_norm": 0.3939502537250519,
|
2212 |
+
"learning_rate": 1.8999476800780087e-06,
|
2213 |
+
"loss": 1.0457,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 1.199810156620788,
|
2218 |
+
"grad_norm": 0.44725000858306885,
|
2219 |
+
"learning_rate": 1.8846803307802263e-06,
|
2220 |
+
"loss": 1.1939,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 1.2036070242050307,
|
2225 |
+
"grad_norm": 0.3450300097465515,
|
2226 |
+
"learning_rate": 1.8694373707084148e-06,
|
2227 |
+
"loss": 0.9045,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 1.2074038917892738,
|
2232 |
+
"grad_norm": 0.4713125228881836,
|
2233 |
+
"learning_rate": 1.854219404042834e-06,
|
2234 |
+
"loss": 1.1848,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 1.2112007593735168,
|
2239 |
+
"grad_norm": 0.33273351192474365,
|
2240 |
+
"learning_rate": 1.8390270339730892e-06,
|
2241 |
+
"loss": 0.7687,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 1.2149976269577598,
|
2246 |
+
"grad_norm": 0.35393235087394714,
|
2247 |
+
"learning_rate": 1.82386086267422e-06,
|
2248 |
+
"loss": 0.9687,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 1.2187944945420028,
|
2253 |
+
"grad_norm": 0.35949307680130005,
|
2254 |
+
"learning_rate": 1.8087214912828343e-06,
|
2255 |
+
"loss": 0.9033,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 1.2225913621262459,
|
2260 |
+
"grad_norm": 0.42038631439208984,
|
2261 |
+
"learning_rate": 1.793609519873282e-06,
|
2262 |
+
"loss": 1.1888,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 1.2263882297104889,
|
2267 |
+
"grad_norm": 0.4522581696510315,
|
2268 |
+
"learning_rate": 1.7785255474338675e-06,
|
2269 |
+
"loss": 1.188,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 1.230185097294732,
|
2274 |
+
"grad_norm": 0.3686380386352539,
|
2275 |
+
"learning_rate": 1.763470171843109e-06,
|
2276 |
+
"loss": 1.0683,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 1.233981964878975,
|
2281 |
+
"grad_norm": 0.4130842685699463,
|
2282 |
+
"learning_rate": 1.748443989846042e-06,
|
2283 |
+
"loss": 1.1772,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 1.237778832463218,
|
2288 |
+
"grad_norm": 0.3096576929092407,
|
2289 |
+
"learning_rate": 1.7334475970305639e-06,
|
2290 |
+
"loss": 0.767,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 1.2415757000474608,
|
2295 |
+
"grad_norm": 0.3671686351299286,
|
2296 |
+
"learning_rate": 1.718481587803828e-06,
|
2297 |
+
"loss": 0.9131,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 1.2453725676317038,
|
2302 |
+
"grad_norm": 0.4213862717151642,
|
2303 |
+
"learning_rate": 1.7035465553686839e-06,
|
2304 |
+
"loss": 1.1863,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 1.2491694352159468,
|
2309 |
+
"grad_norm": 0.3827097713947296,
|
2310 |
+
"learning_rate": 1.688643091700164e-06,
|
2311 |
+
"loss": 1.0456,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 1.2529663028001898,
|
2316 |
+
"grad_norm": 0.3981434106826782,
|
2317 |
+
"learning_rate": 1.6737717875220177e-06,
|
2318 |
+
"loss": 1.0414,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 1.2567631703844329,
|
2323 |
+
"grad_norm": 0.3808799982070923,
|
2324 |
+
"learning_rate": 1.6589332322833035e-06,
|
2325 |
+
"loss": 1.0457,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 1.2605600379686759,
|
2330 |
+
"grad_norm": 0.39812132716178894,
|
2331 |
+
"learning_rate": 1.6441280141350169e-06,
|
2332 |
+
"loss": 1.0624,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 1.264356905552919,
|
2337 |
+
"grad_norm": 0.3926783502101898,
|
2338 |
+
"learning_rate": 1.6293567199067827e-06,
|
2339 |
+
"loss": 1.1868,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 1.2681537731371617,
|
2344 |
+
"grad_norm": 0.42180249094963074,
|
2345 |
+
"learning_rate": 1.6146199350835956e-06,
|
2346 |
+
"loss": 1.1785,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 1.2719506407214047,
|
2351 |
+
"grad_norm": 0.3862990736961365,
|
2352 |
+
"learning_rate": 1.5999182437826111e-06,
|
2353 |
+
"loss": 1.0557,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 1.2757475083056478,
|
2358 |
+
"grad_norm": 0.33035123348236084,
|
2359 |
+
"learning_rate": 1.5852522287299946e-06,
|
2360 |
+
"loss": 0.9202,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 1.2795443758898908,
|
2365 |
+
"grad_norm": 0.3912082612514496,
|
2366 |
+
"learning_rate": 1.5706224712378237e-06,
|
2367 |
+
"loss": 1.0578,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 1.2833412434741338,
|
2372 |
+
"grad_norm": 0.368190199136734,
|
2373 |
+
"learning_rate": 1.5560295511810465e-06,
|
2374 |
+
"loss": 1.0456,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 1.2871381110583768,
|
2379 |
+
"grad_norm": 0.3697574734687805,
|
2380 |
+
"learning_rate": 1.5414740469744986e-06,
|
2381 |
+
"loss": 1.0412,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 1.2909349786426199,
|
2386 |
+
"grad_norm": 0.3395715057849884,
|
2387 |
+
"learning_rate": 1.5269565355499738e-06,
|
2388 |
+
"loss": 0.9436,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 1.2947318462268629,
|
2393 |
+
"grad_norm": 0.38877978920936584,
|
2394 |
+
"learning_rate": 1.5124775923333604e-06,
|
2395 |
+
"loss": 1.0565,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 1.298528713811106,
|
2400 |
+
"grad_norm": 0.3653126060962677,
|
2401 |
+
"learning_rate": 1.4980377912218291e-06,
|
2402 |
+
"loss": 1.0534,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 1.302325581395349,
|
2407 |
+
"grad_norm": 0.403150737285614,
|
2408 |
+
"learning_rate": 1.4836377045610903e-06,
|
2409 |
+
"loss": 1.063,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 1.306122448979592,
|
2414 |
+
"grad_norm": 0.3969637155532837,
|
2415 |
+
"learning_rate": 1.4692779031227032e-06,
|
2416 |
+
"loss": 1.1949,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 1.3099193165638348,
|
2421 |
+
"grad_norm": 0.3859919607639313,
|
2422 |
+
"learning_rate": 1.4549589560814558e-06,
|
2423 |
+
"loss": 1.0345,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 1.3137161841480778,
|
2428 |
+
"grad_norm": 0.3501088321208954,
|
2429 |
+
"learning_rate": 1.440681430992803e-06,
|
2430 |
+
"loss": 1.0387,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 1.3175130517323208,
|
2435 |
+
"grad_norm": 0.38995981216430664,
|
2436 |
+
"learning_rate": 1.4264458937703717e-06,
|
2437 |
+
"loss": 1.0632,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 1.3213099193165638,
|
2442 |
+
"grad_norm": 0.3388945460319519,
|
2443 |
+
"learning_rate": 1.4122529086635312e-06,
|
2444 |
+
"loss": 0.9119,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 1.3251067869008069,
|
2449 |
+
"grad_norm": 0.37815216183662415,
|
2450 |
+
"learning_rate": 1.398103038235022e-06,
|
2451 |
+
"loss": 1.1801,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 1.3289036544850499,
|
2456 |
+
"grad_norm": 0.3603959381580353,
|
2457 |
+
"learning_rate": 1.3839968433386659e-06,
|
2458 |
+
"loss": 1.0401,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 1.332700522069293,
|
2463 |
+
"grad_norm": 0.4169382154941559,
|
2464 |
+
"learning_rate": 1.3699348830971316e-06,
|
2465 |
+
"loss": 1.1889,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 1.3364973896535357,
|
2470 |
+
"grad_norm": 0.4009808599948883,
|
2471 |
+
"learning_rate": 1.3559177148797698e-06,
|
2472 |
+
"loss": 1.1802,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 1.3402942572377787,
|
2477 |
+
"grad_norm": 0.3702283203601837,
|
2478 |
+
"learning_rate": 1.3419458942805274e-06,
|
2479 |
+
"loss": 0.9253,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 1.3440911248220218,
|
2484 |
+
"grad_norm": 0.3447802662849426,
|
2485 |
+
"learning_rate": 1.3280199750959233e-06,
|
2486 |
+
"loss": 0.9254,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 1.3478879924062648,
|
2491 |
+
"grad_norm": 0.40221476554870605,
|
2492 |
+
"learning_rate": 1.314140509303093e-06,
|
2493 |
+
"loss": 1.0729,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 1.3516848599905078,
|
2498 |
+
"grad_norm": 0.40008315443992615,
|
2499 |
+
"learning_rate": 1.3003080470379176e-06,
|
2500 |
+
"loss": 1.1839,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 1.3554817275747508,
|
2505 |
+
"grad_norm": 0.4559074640274048,
|
2506 |
+
"learning_rate": 1.2865231365732136e-06,
|
2507 |
+
"loss": 1.184,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 1.3592785951589939,
|
2512 |
+
"grad_norm": 0.3520359694957733,
|
2513 |
+
"learning_rate": 1.2727863242970007e-06,
|
2514 |
+
"loss": 0.9056,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 1.3630754627432369,
|
2519 |
+
"grad_norm": 0.39236965775489807,
|
2520 |
+
"learning_rate": 1.2590981546908481e-06,
|
2521 |
+
"loss": 1.1798,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 1.36687233032748,
|
2526 |
+
"grad_norm": 0.39921608567237854,
|
2527 |
+
"learning_rate": 1.245459170308292e-06,
|
2528 |
+
"loss": 1.1876,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 1.370669197911723,
|
2533 |
+
"grad_norm": 0.32645294070243835,
|
2534 |
+
"learning_rate": 1.2318699117533264e-06,
|
2535 |
+
"loss": 0.9214,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 1.374466065495966,
|
2540 |
+
"grad_norm": 0.3884054720401764,
|
2541 |
+
"learning_rate": 1.2183309176589822e-06,
|
2542 |
+
"loss": 1.1828,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 1.3782629330802088,
|
2547 |
+
"grad_norm": 0.3472171425819397,
|
2548 |
+
"learning_rate": 1.2048427246659738e-06,
|
2549 |
+
"loss": 0.9014,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 1.3820598006644518,
|
2554 |
+
"grad_norm": 0.34238362312316895,
|
2555 |
+
"learning_rate": 1.1914058674014264e-06,
|
2556 |
+
"loss": 0.9166,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 1.3858566682486948,
|
2561 |
+
"grad_norm": 0.4093136489391327,
|
2562 |
+
"learning_rate": 1.17802087845769e-06,
|
2563 |
+
"loss": 1.1757,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 1.3896535358329378,
|
2568 |
+
"grad_norm": 0.4089086949825287,
|
2569 |
+
"learning_rate": 1.164688288371227e-06,
|
2570 |
+
"loss": 1.1898,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 1.3934504034171808,
|
2575 |
+
"grad_norm": 0.36652591824531555,
|
2576 |
+
"learning_rate": 1.1514086256015803e-06,
|
2577 |
+
"loss": 1.0574,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 1.3972472710014239,
|
2582 |
+
"grad_norm": 0.3458910584449768,
|
2583 |
+
"learning_rate": 1.138182416510434e-06,
|
2584 |
+
"loss": 1.0404,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 1.401044138585667,
|
2589 |
+
"grad_norm": 0.403898149728775,
|
2590 |
+
"learning_rate": 1.1250101853407427e-06,
|
2591 |
+
"loss": 1.185,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 1.4048410061699097,
|
2596 |
+
"grad_norm": 0.38953447341918945,
|
2597 |
+
"learning_rate": 1.1118924541959573e-06,
|
2598 |
+
"loss": 1.1767,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 1.4086378737541527,
|
2603 |
+
"grad_norm": 0.41569021344184875,
|
2604 |
+
"learning_rate": 1.09882974301933e-06,
|
2605 |
+
"loss": 1.1867,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 1.4124347413383957,
|
2610 |
+
"grad_norm": 0.3661198019981384,
|
2611 |
+
"learning_rate": 1.0858225695733006e-06,
|
2612 |
+
"loss": 1.0516,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 1.4162316089226388,
|
2617 |
+
"grad_norm": 0.40183043479919434,
|
2618 |
+
"learning_rate": 1.072871449418982e-06,
|
2619 |
+
"loss": 1.0376,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 1.4200284765068818,
|
2624 |
+
"grad_norm": 0.3806290030479431,
|
2625 |
+
"learning_rate": 1.0599768958957193e-06,
|
2626 |
+
"loss": 1.0473,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 1.4238253440911248,
|
2631 |
+
"grad_norm": 0.3974708616733551,
|
2632 |
+
"learning_rate": 1.0471394201007435e-06,
|
2633 |
+
"loss": 1.1799,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 1.4276222116753678,
|
2638 |
+
"grad_norm": 0.37168920040130615,
|
2639 |
+
"learning_rate": 1.0343595308689156e-06,
|
2640 |
+
"loss": 1.0478,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 1.4314190792596109,
|
2645 |
+
"grad_norm": 0.36702632904052734,
|
2646 |
+
"learning_rate": 1.021637734752557e-06,
|
2647 |
+
"loss": 1.0368,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 1.435215946843854,
|
2652 |
+
"grad_norm": 0.36013931035995483,
|
2653 |
+
"learning_rate": 1.0089745360013685e-06,
|
2654 |
+
"loss": 1.0488,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 1.439012814428097,
|
2659 |
+
"grad_norm": 0.39848053455352783,
|
2660 |
+
"learning_rate": 9.963704365424494e-07,
|
2661 |
+
"loss": 1.0501,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 1.44280968201234,
|
2666 |
+
"grad_norm": 0.3630136549472809,
|
2667 |
+
"learning_rate": 9.838259359603987e-07,
|
2668 |
+
"loss": 1.0455,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 1.4466065495965827,
|
2673 |
+
"grad_norm": 0.38877931237220764,
|
2674 |
+
"learning_rate": 9.713415314775122e-07,
|
2675 |
+
"loss": 1.1887,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 1.4504034171808258,
|
2680 |
+
"grad_norm": 0.3823590874671936,
|
2681 |
+
"learning_rate": 9.589177179340775e-07,
|
2682 |
+
"loss": 1.1795,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 1.4542002847650688,
|
2687 |
+
"grad_norm": 0.31407251954078674,
|
2688 |
+
"learning_rate": 9.465549877687602e-07,
|
2689 |
+
"loss": 0.8088,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 1.4579971523493118,
|
2694 |
+
"grad_norm": 0.3785543143749237,
|
2695 |
+
"learning_rate": 9.342538309990804e-07,
|
2696 |
+
"loss": 1.0545,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 1.4617940199335548,
|
2701 |
+
"grad_norm": 0.3719753921031952,
|
2702 |
+
"learning_rate": 9.220147352019965e-07,
|
2703 |
+
"loss": 1.1924,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 1.4655908875177979,
|
2708 |
+
"grad_norm": 0.3974050283432007,
|
2709 |
+
"learning_rate": 9.098381854945762e-07,
|
2710 |
+
"loss": 1.0512,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 1.469387755102041,
|
2715 |
+
"grad_norm": 0.380188912153244,
|
2716 |
+
"learning_rate": 8.977246645147655e-07,
|
2717 |
+
"loss": 1.1842,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 1.4731846226862837,
|
2722 |
+
"grad_norm": 0.33522146940231323,
|
2723 |
+
"learning_rate": 8.856746524022647e-07,
|
2724 |
+
"loss": 0.9293,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 1.4769814902705267,
|
2729 |
+
"grad_norm": 0.34948912262916565,
|
2730 |
+
"learning_rate": 8.736886267794911e-07,
|
2731 |
+
"loss": 1.0576,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 1.4807783578547697,
|
2736 |
+
"grad_norm": 0.3386431336402893,
|
2737 |
+
"learning_rate": 8.617670627326503e-07,
|
2738 |
+
"loss": 0.9029,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 1.4845752254390128,
|
2743 |
+
"grad_norm": 0.32754087448120117,
|
2744 |
+
"learning_rate": 8.49910432792907e-07,
|
2745 |
+
"loss": 0.9201,
|
2746 |
+
"step": 391
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 1.4883720930232558,
|
2750 |
+
"grad_norm": 0.38169023394584656,
|
2751 |
+
"learning_rate": 8.381192069176539e-07,
|
2752 |
+
"loss": 1.1824,
|
2753 |
+
"step": 392
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 1.4921689606074988,
|
2757 |
+
"grad_norm": 0.3721928596496582,
|
2758 |
+
"learning_rate": 8.263938524718812e-07,
|
2759 |
+
"loss": 1.0526,
|
2760 |
+
"step": 393
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 1.4959658281917418,
|
2764 |
+
"grad_norm": 0.3896506130695343,
|
2765 |
+
"learning_rate": 8.147348342096579e-07,
|
2766 |
+
"loss": 1.1811,
|
2767 |
+
"step": 394
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 1.4997626957759849,
|
2771 |
+
"grad_norm": 0.3741244375705719,
|
2772 |
+
"learning_rate": 8.031426142557061e-07,
|
2773 |
+
"loss": 1.0512,
|
2774 |
+
"step": 395
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 1.503559563360228,
|
2778 |
+
"grad_norm": 0.3273400366306305,
|
2779 |
+
"learning_rate": 7.916176520870836e-07,
|
2780 |
+
"loss": 0.905,
|
2781 |
+
"step": 396
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 1.507356430944471,
|
2785 |
+
"grad_norm": 0.3622443675994873,
|
2786 |
+
"learning_rate": 7.80160404514975e-07,
|
2787 |
+
"loss": 1.0561,
|
2788 |
+
"step": 397
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 1.511153298528714,
|
2792 |
+
"grad_norm": 0.3936561048030853,
|
2793 |
+
"learning_rate": 7.687713256665835e-07,
|
2794 |
+
"loss": 1.1887,
|
2795 |
+
"step": 398
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 1.514950166112957,
|
2799 |
+
"grad_norm": 0.37885287404060364,
|
2800 |
+
"learning_rate": 7.574508669671288e-07,
|
2801 |
+
"loss": 1.185,
|
2802 |
+
"step": 399
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 1.5187470336971998,
|
2806 |
+
"grad_norm": 0.36686670780181885,
|
2807 |
+
"learning_rate": 7.46199477121958e-07,
|
2808 |
+
"loss": 1.1886,
|
2809 |
+
"step": 400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 1.5225439012814428,
|
2813 |
+
"grad_norm": 0.3786951005458832,
|
2814 |
+
"learning_rate": 7.350176020987585e-07,
|
2815 |
+
"loss": 1.1841,
|
2816 |
+
"step": 401
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 1.5263407688656858,
|
2820 |
+
"grad_norm": 0.3833267390727997,
|
2821 |
+
"learning_rate": 7.239056851098785e-07,
|
2822 |
+
"loss": 1.191,
|
2823 |
+
"step": 402
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 1.5301376364499288,
|
2827 |
+
"grad_norm": 0.2992788553237915,
|
2828 |
+
"learning_rate": 7.128641665947658e-07,
|
2829 |
+
"loss": 0.7744,
|
2830 |
+
"step": 403
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 1.5339345040341716,
|
2834 |
+
"grad_norm": 0.379607230424881,
|
2835 |
+
"learning_rate": 7.018934842025058e-07,
|
2836 |
+
"loss": 1.1837,
|
2837 |
+
"step": 404
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 1.5377313716184147,
|
2841 |
+
"grad_norm": 0.3761638104915619,
|
2842 |
+
"learning_rate": 6.90994072774473e-07,
|
2843 |
+
"loss": 1.0384,
|
2844 |
+
"step": 405
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 1.5415282392026577,
|
2848 |
+
"grad_norm": 0.405567467212677,
|
2849 |
+
"learning_rate": 6.801663643271012e-07,
|
2850 |
+
"loss": 1.1853,
|
2851 |
+
"step": 406
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 1.5453251067869007,
|
2855 |
+
"grad_norm": 0.3884119987487793,
|
2856 |
+
"learning_rate": 6.69410788034755e-07,
|
2857 |
+
"loss": 1.1932,
|
2858 |
+
"step": 407
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 1.5491219743711437,
|
2862 |
+
"grad_norm": 0.35525161027908325,
|
2863 |
+
"learning_rate": 6.587277702127196e-07,
|
2864 |
+
"loss": 1.0483,
|
2865 |
+
"step": 408
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 1.5529188419553868,
|
2869 |
+
"grad_norm": 0.3150971829891205,
|
2870 |
+
"learning_rate": 6.481177343003043e-07,
|
2871 |
+
"loss": 0.9127,
|
2872 |
+
"step": 409
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 1.5567157095396298,
|
2876 |
+
"grad_norm": 0.39407217502593994,
|
2877 |
+
"learning_rate": 6.375811008440591e-07,
|
2878 |
+
"loss": 1.179,
|
2879 |
+
"step": 410
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 1.5605125771238728,
|
2883 |
+
"grad_norm": 0.402775377035141,
|
2884 |
+
"learning_rate": 6.271182874811024e-07,
|
2885 |
+
"loss": 1.0475,
|
2886 |
+
"step": 411
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 1.5643094447081158,
|
2890 |
+
"grad_norm": 0.3489883840084076,
|
2891 |
+
"learning_rate": 6.167297089225713e-07,
|
2892 |
+
"loss": 0.9048,
|
2893 |
+
"step": 412
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 1.5681063122923589,
|
2897 |
+
"grad_norm": 0.35091614723205566,
|
2898 |
+
"learning_rate": 6.064157769371823e-07,
|
2899 |
+
"loss": 1.0413,
|
2900 |
+
"step": 413
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 1.5719031798766019,
|
2904 |
+
"grad_norm": 0.35318344831466675,
|
2905 |
+
"learning_rate": 5.961769003349077e-07,
|
2906 |
+
"loss": 1.0326,
|
2907 |
+
"step": 414
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 1.575700047460845,
|
2911 |
+
"grad_norm": 0.3418586850166321,
|
2912 |
+
"learning_rate": 5.860134849507765e-07,
|
2913 |
+
"loss": 0.9169,
|
2914 |
+
"step": 415
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 1.579496915045088,
|
2918 |
+
"grad_norm": 0.35626721382141113,
|
2919 |
+
"learning_rate": 5.759259336287851e-07,
|
2920 |
+
"loss": 1.0404,
|
2921 |
+
"step": 416
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 1.583293782629331,
|
2925 |
+
"grad_norm": 0.3962875306606293,
|
2926 |
+
"learning_rate": 5.659146462059292e-07,
|
2927 |
+
"loss": 1.1874,
|
2928 |
+
"step": 417
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 1.5870906502135738,
|
2932 |
+
"grad_norm": 0.3754862844944,
|
2933 |
+
"learning_rate": 5.559800194963591e-07,
|
2934 |
+
"loss": 1.1858,
|
2935 |
+
"step": 418
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 1.5908875177978168,
|
2939 |
+
"grad_norm": 0.37421101331710815,
|
2940 |
+
"learning_rate": 5.46122447275649e-07,
|
2941 |
+
"loss": 1.1813,
|
2942 |
+
"step": 419
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 1.5946843853820598,
|
2946 |
+
"grad_norm": 0.3670285642147064,
|
2947 |
+
"learning_rate": 5.363423202651876e-07,
|
2948 |
+
"loss": 1.0544,
|
2949 |
+
"step": 420
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 1.5984812529663028,
|
2953 |
+
"grad_norm": 0.42034921050071716,
|
2954 |
+
"learning_rate": 5.266400261166951e-07,
|
2955 |
+
"loss": 1.1884,
|
2956 |
+
"step": 421
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 1.6022781205505456,
|
2960 |
+
"grad_norm": 0.3546159565448761,
|
2961 |
+
"learning_rate": 5.170159493968549e-07,
|
2962 |
+
"loss": 1.1814,
|
2963 |
+
"step": 422
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 1.6060749881347887,
|
2967 |
+
"grad_norm": 0.3211246728897095,
|
2968 |
+
"learning_rate": 5.074704715720711e-07,
|
2969 |
+
"loss": 0.9178,
|
2970 |
+
"step": 423
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 1.6098718557190317,
|
2974 |
+
"grad_norm": 0.3514634370803833,
|
2975 |
+
"learning_rate": 4.980039709933492e-07,
|
2976 |
+
"loss": 0.913,
|
2977 |
+
"step": 424
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 1.6136687233032747,
|
2981 |
+
"grad_norm": 0.4017420709133148,
|
2982 |
+
"learning_rate": 4.886168228813007e-07,
|
2983 |
+
"loss": 1.1828,
|
2984 |
+
"step": 425
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 1.6174655908875177,
|
2988 |
+
"grad_norm": 0.3313949406147003,
|
2989 |
+
"learning_rate": 4.793093993112663e-07,
|
2990 |
+
"loss": 0.9082,
|
2991 |
+
"step": 426
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 1.6212624584717608,
|
2995 |
+
"grad_norm": 0.33639460802078247,
|
2996 |
+
"learning_rate": 4.700820691985739e-07,
|
2997 |
+
"loss": 0.9069,
|
2998 |
+
"step": 427
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 1.6250593260560038,
|
3002 |
+
"grad_norm": 0.3237963616847992,
|
3003 |
+
"learning_rate": 4.6093519828391025e-07,
|
3004 |
+
"loss": 0.894,
|
3005 |
+
"step": 428
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 1.6288561936402468,
|
3009 |
+
"grad_norm": 0.3815336525440216,
|
3010 |
+
"learning_rate": 4.51869149118829e-07,
|
3011 |
+
"loss": 1.1764,
|
3012 |
+
"step": 429
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 1.6326530612244898,
|
3016 |
+
"grad_norm": 0.36702704429626465,
|
3017 |
+
"learning_rate": 4.428842810513784e-07,
|
3018 |
+
"loss": 1.1678,
|
3019 |
+
"step": 430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 1.6364499288087329,
|
3023 |
+
"grad_norm": 0.3530699610710144,
|
3024 |
+
"learning_rate": 4.3398095021185557e-07,
|
3025 |
+
"loss": 1.1782,
|
3026 |
+
"step": 431
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 1.6402467963929759,
|
3030 |
+
"grad_norm": 0.33500173687934875,
|
3031 |
+
"learning_rate": 4.251595094986957e-07,
|
3032 |
+
"loss": 1.0625,
|
3033 |
+
"step": 432
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 1.644043663977219,
|
3037 |
+
"grad_norm": 0.37163975834846497,
|
3038 |
+
"learning_rate": 4.1642030856448104e-07,
|
3039 |
+
"loss": 1.1739,
|
3040 |
+
"step": 433
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 1.647840531561462,
|
3044 |
+
"grad_norm": 0.37387996912002563,
|
3045 |
+
"learning_rate": 4.077636938020807e-07,
|
3046 |
+
"loss": 1.0592,
|
3047 |
+
"step": 434
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 1.651637399145705,
|
3051 |
+
"grad_norm": 0.3629416823387146,
|
3052 |
+
"learning_rate": 3.991900083309241e-07,
|
3053 |
+
"loss": 1.1718,
|
3054 |
+
"step": 435
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 1.6554342667299478,
|
3058 |
+
"grad_norm": 0.3603303134441376,
|
3059 |
+
"learning_rate": 3.906995919833997e-07,
|
3060 |
+
"loss": 1.0432,
|
3061 |
+
"step": 436
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 1.6592311343141908,
|
3065 |
+
"grad_norm": 0.31616950035095215,
|
3066 |
+
"learning_rate": 3.8229278129138293e-07,
|
3067 |
+
"loss": 0.9182,
|
3068 |
+
"step": 437
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 1.6630280018984338,
|
3072 |
+
"grad_norm": 0.3574075698852539,
|
3073 |
+
"learning_rate": 3.739699094729002e-07,
|
3074 |
+
"loss": 1.0423,
|
3075 |
+
"step": 438
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 1.6668248694826768,
|
3079 |
+
"grad_norm": 0.33015620708465576,
|
3080 |
+
"learning_rate": 3.6573130641892053e-07,
|
3081 |
+
"loss": 0.8927,
|
3082 |
+
"step": 439
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 1.6706217370669196,
|
3086 |
+
"grad_norm": 0.32390230894088745,
|
3087 |
+
"learning_rate": 3.575772986802775e-07,
|
3088 |
+
"loss": 0.9272,
|
3089 |
+
"step": 440
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 1.6744186046511627,
|
3093 |
+
"grad_norm": 0.37338370084762573,
|
3094 |
+
"learning_rate": 3.4950820945472945e-07,
|
3095 |
+
"loss": 1.1717,
|
3096 |
+
"step": 441
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 1.6782154722354057,
|
3100 |
+
"grad_norm": 0.35633939504623413,
|
3101 |
+
"learning_rate": 3.4152435857414676e-07,
|
3102 |
+
"loss": 1.1792,
|
3103 |
+
"step": 442
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 1.6820123398196487,
|
3107 |
+
"grad_norm": 0.35473427176475525,
|
3108 |
+
"learning_rate": 3.3362606249183446e-07,
|
3109 |
+
"loss": 1.0391,
|
3110 |
+
"step": 443
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 1.6858092074038917,
|
3114 |
+
"grad_norm": 0.36706259846687317,
|
3115 |
+
"learning_rate": 3.2581363426998966e-07,
|
3116 |
+
"loss": 1.0463,
|
3117 |
+
"step": 444
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 1.6896060749881348,
|
3121 |
+
"grad_norm": 0.3562609553337097,
|
3122 |
+
"learning_rate": 3.18087383567294e-07,
|
3123 |
+
"loss": 1.0515,
|
3124 |
+
"step": 445
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 1.6934029425723778,
|
3128 |
+
"grad_norm": 0.35783901810646057,
|
3129 |
+
"learning_rate": 3.1044761662663933e-07,
|
3130 |
+
"loss": 1.0449,
|
3131 |
+
"step": 446
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 1.6971998101566208,
|
3135 |
+
"grad_norm": 0.3588060736656189,
|
3136 |
+
"learning_rate": 3.0289463626298585e-07,
|
3137 |
+
"loss": 1.1823,
|
3138 |
+
"step": 447
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 1.7009966777408638,
|
3142 |
+
"grad_norm": 0.35698550939559937,
|
3143 |
+
"learning_rate": 2.9542874185136545e-07,
|
3144 |
+
"loss": 1.1792,
|
3145 |
+
"step": 448
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 1.7047935453251069,
|
3149 |
+
"grad_norm": 0.37660661339759827,
|
3150 |
+
"learning_rate": 2.880502293150117e-07,
|
3151 |
+
"loss": 1.1868,
|
3152 |
+
"step": 449
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 1.7085904129093499,
|
3156 |
+
"grad_norm": 0.38808876276016235,
|
3157 |
+
"learning_rate": 2.8075939111362915e-07,
|
3158 |
+
"loss": 1.1823,
|
3159 |
+
"step": 450
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 1.712387280493593,
|
3163 |
+
"grad_norm": 0.35739246010780334,
|
3164 |
+
"learning_rate": 2.7355651623180574e-07,
|
3165 |
+
"loss": 1.1793,
|
3166 |
+
"step": 451
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 1.716184148077836,
|
3170 |
+
"grad_norm": 0.3609924018383026,
|
3171 |
+
"learning_rate": 2.6644189016755415e-07,
|
3172 |
+
"loss": 1.0662,
|
3173 |
+
"step": 452
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 1.719981015662079,
|
3177 |
+
"grad_norm": 0.3684343099594116,
|
3178 |
+
"learning_rate": 2.5941579492099853e-07,
|
3179 |
+
"loss": 1.1712,
|
3180 |
+
"step": 453
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 1.7237778832463218,
|
3184 |
+
"grad_norm": 0.3490484952926636,
|
3185 |
+
"learning_rate": 2.524785089831955e-07,
|
3186 |
+
"loss": 1.0555,
|
3187 |
+
"step": 454
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 1.7275747508305648,
|
3191 |
+
"grad_norm": 0.32522618770599365,
|
3192 |
+
"learning_rate": 2.456303073250943e-07,
|
3193 |
+
"loss": 0.9226,
|
3194 |
+
"step": 455
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 1.7313716184148078,
|
3198 |
+
"grad_norm": 0.38961344957351685,
|
3199 |
+
"learning_rate": 2.388714613866422e-07,
|
3200 |
+
"loss": 1.1842,
|
3201 |
+
"step": 456
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 1.7351684859990508,
|
3205 |
+
"grad_norm": 0.35974937677383423,
|
3206 |
+
"learning_rate": 2.3220223906602113e-07,
|
3207 |
+
"loss": 1.0626,
|
3208 |
+
"step": 457
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 1.7389653535832936,
|
3212 |
+
"grad_norm": 0.3246191143989563,
|
3213 |
+
"learning_rate": 2.2562290470903082e-07,
|
3214 |
+
"loss": 0.9113,
|
3215 |
+
"step": 458
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 1.7427622211675367,
|
3219 |
+
"grad_norm": 0.3299662172794342,
|
3220 |
+
"learning_rate": 2.191337190986112e-07,
|
3221 |
+
"loss": 0.9153,
|
3222 |
+
"step": 459
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 1.7465590887517797,
|
3226 |
+
"grad_norm": 0.38010498881340027,
|
3227 |
+
"learning_rate": 2.1273493944450634e-07,
|
3228 |
+
"loss": 1.1955,
|
3229 |
+
"step": 460
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 1.7503559563360227,
|
3233 |
+
"grad_norm": 0.38703298568725586,
|
3234 |
+
"learning_rate": 2.06426819373067e-07,
|
3235 |
+
"loss": 1.1757,
|
3236 |
+
"step": 461
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 1.7541528239202657,
|
3240 |
+
"grad_norm": 0.294664204120636,
|
3241 |
+
"learning_rate": 2.0020960891720147e-07,
|
3242 |
+
"loss": 0.7584,
|
3243 |
+
"step": 462
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 1.7579496915045087,
|
3247 |
+
"grad_norm": 0.3676691949367523,
|
3248 |
+
"learning_rate": 1.9408355450646234e-07,
|
3249 |
+
"loss": 1.1826,
|
3250 |
+
"step": 463
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 1.7617465590887518,
|
3254 |
+
"grad_norm": 0.36037302017211914,
|
3255 |
+
"learning_rate": 1.8804889895727872e-07,
|
3256 |
+
"loss": 1.046,
|
3257 |
+
"step": 464
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 1.7655434266729948,
|
3261 |
+
"grad_norm": 0.3599529266357422,
|
3262 |
+
"learning_rate": 1.821058814633339e-07,
|
3263 |
+
"loss": 1.0328,
|
3264 |
+
"step": 465
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 1.7693402942572378,
|
3268 |
+
"grad_norm": 0.32030507922172546,
|
3269 |
+
"learning_rate": 1.762547375860832e-07,
|
3270 |
+
"loss": 0.9193,
|
3271 |
+
"step": 466
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 1.7731371618414808,
|
3275 |
+
"grad_norm": 0.4202202558517456,
|
3276 |
+
"learning_rate": 1.7049569924541653e-07,
|
3277 |
+
"loss": 1.1895,
|
3278 |
+
"step": 467
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 1.7769340294257239,
|
3282 |
+
"grad_norm": 0.35407963395118713,
|
3283 |
+
"learning_rate": 1.6482899471046726e-07,
|
3284 |
+
"loss": 1.0546,
|
3285 |
+
"step": 468
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 1.780730897009967,
|
3289 |
+
"grad_norm": 0.3341258466243744,
|
3290 |
+
"learning_rate": 1.5925484859056372e-07,
|
3291 |
+
"loss": 1.0506,
|
3292 |
+
"step": 469
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 1.78452776459421,
|
3296 |
+
"grad_norm": 0.3770039677619934,
|
3297 |
+
"learning_rate": 1.5377348182632536e-07,
|
3298 |
+
"loss": 1.1839,
|
3299 |
+
"step": 470
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 1.7883246321784527,
|
3303 |
+
"grad_norm": 0.3668918311595917,
|
3304 |
+
"learning_rate": 1.4838511168090707e-07,
|
3305 |
+
"loss": 1.1741,
|
3306 |
+
"step": 471
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 1.7921214997626957,
|
3310 |
+
"grad_norm": 0.3690701425075531,
|
3311 |
+
"learning_rate": 1.4308995173138828e-07,
|
3312 |
+
"loss": 1.1862,
|
3313 |
+
"step": 472
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 1.7959183673469388,
|
3317 |
+
"grad_norm": 0.33050721883773804,
|
3318 |
+
"learning_rate": 1.3788821186030338e-07,
|
3319 |
+
"loss": 1.0628,
|
3320 |
+
"step": 473
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 1.7997152349311818,
|
3324 |
+
"grad_norm": 0.35489219427108765,
|
3325 |
+
"learning_rate": 1.3278009824732763e-07,
|
3326 |
+
"loss": 1.0405,
|
3327 |
+
"step": 474
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 1.8035121025154248,
|
3331 |
+
"grad_norm": 0.3431392014026642,
|
3332 |
+
"learning_rate": 1.2776581336110234e-07,
|
3333 |
+
"loss": 1.0425,
|
3334 |
+
"step": 475
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 1.8073089700996676,
|
3338 |
+
"grad_norm": 0.35951146483421326,
|
3339 |
+
"learning_rate": 1.2284555595120901e-07,
|
3340 |
+
"loss": 1.192,
|
3341 |
+
"step": 476
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 1.8111058376839106,
|
3345 |
+
"grad_norm": 0.34095799922943115,
|
3346 |
+
"learning_rate": 1.1801952104029347e-07,
|
3347 |
+
"loss": 0.9311,
|
3348 |
+
"step": 477
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 1.8149027052681537,
|
3352 |
+
"grad_norm": 0.36434096097946167,
|
3353 |
+
"learning_rate": 1.1328789991633532e-07,
|
3354 |
+
"loss": 1.1809,
|
3355 |
+
"step": 478
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 1.8186995728523967,
|
3359 |
+
"grad_norm": 0.35194143652915955,
|
3360 |
+
"learning_rate": 1.0865088012506408e-07,
|
3361 |
+
"loss": 1.0538,
|
3362 |
+
"step": 479
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 1.8224964404366397,
|
3366 |
+
"grad_norm": 0.3786377012729645,
|
3367 |
+
"learning_rate": 1.0410864546252841e-07,
|
3368 |
+
"loss": 1.1839,
|
3369 |
+
"step": 480
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 1.8262933080208827,
|
3373 |
+
"grad_norm": 0.3330764174461365,
|
3374 |
+
"learning_rate": 9.966137596780945e-08,
|
3375 |
+
"loss": 1.0354,
|
3376 |
+
"step": 481
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 1.8300901756051258,
|
3380 |
+
"grad_norm": 0.33103281259536743,
|
3381 |
+
"learning_rate": 9.530924791588319e-08,
|
3382 |
+
"loss": 0.956,
|
3383 |
+
"step": 482
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 1.8338870431893688,
|
3387 |
+
"grad_norm": 0.34974756836891174,
|
3388 |
+
"learning_rate": 9.10524338106375e-08,
|
3389 |
+
"loss": 1.1761,
|
3390 |
+
"step": 483
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 1.8376839107736118,
|
3394 |
+
"grad_norm": 0.3340107202529907,
|
3395 |
+
"learning_rate": 8.689110237803056e-08,
|
3396 |
+
"loss": 1.0462,
|
3397 |
+
"step": 484
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 1.8414807783578548,
|
3401 |
+
"grad_norm": 0.337950199842453,
|
3402 |
+
"learning_rate": 8.282541855940546e-08,
|
3403 |
+
"loss": 1.0587,
|
3404 |
+
"step": 485
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 1.8452776459420979,
|
3408 |
+
"grad_norm": 0.34110939502716064,
|
3409 |
+
"learning_rate": 7.885554350495206e-08,
|
3410 |
+
"loss": 1.1823,
|
3411 |
+
"step": 486
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 1.849074513526341,
|
3415 |
+
"grad_norm": 0.3682970702648163,
|
3416 |
+
"learning_rate": 7.498163456731878e-08,
|
3417 |
+
"loss": 1.1863,
|
3418 |
+
"step": 487
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 1.852871381110584,
|
3422 |
+
"grad_norm": 0.3614114820957184,
|
3423 |
+
"learning_rate": 7.120384529537672e-08,
|
3424 |
+
"loss": 1.1923,
|
3425 |
+
"step": 488
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 1.8566682486948267,
|
3429 |
+
"grad_norm": 1.5183669328689575,
|
3430 |
+
"learning_rate": 6.752232542813319e-08,
|
3431 |
+
"loss": 0.5159,
|
3432 |
+
"step": 489
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 1.8604651162790697,
|
3436 |
+
"grad_norm": 1.4683269262313843,
|
3437 |
+
"learning_rate": 6.393722088879534e-08,
|
3438 |
+
"loss": 0.504,
|
3439 |
+
"step": 490
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 1.8642619838633128,
|
3443 |
+
"grad_norm": 1.4609661102294922,
|
3444 |
+
"learning_rate": 6.044867377898806e-08,
|
3445 |
+
"loss": 0.5112,
|
3446 |
+
"step": 491
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 1.8680588514475558,
|
3450 |
+
"grad_norm": 1.6301960945129395,
|
3451 |
+
"learning_rate": 5.7056822373121324e-08,
|
3452 |
+
"loss": 0.5463,
|
3453 |
+
"step": 492
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 1.8718557190317988,
|
3457 |
+
"grad_norm": 1.419601321220398,
|
3458 |
+
"learning_rate": 5.3761801112907356e-08,
|
3459 |
+
"loss": 0.4816,
|
3460 |
+
"step": 493
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 1.8756525866160416,
|
3464 |
+
"grad_norm": 1.1993861198425293,
|
3465 |
+
"learning_rate": 5.0563740602034284e-08,
|
3466 |
+
"loss": 0.418,
|
3467 |
+
"step": 494
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 1.8794494542002846,
|
3471 |
+
"grad_norm": 1.2279670238494873,
|
3472 |
+
"learning_rate": 4.746276760098867e-08,
|
3473 |
+
"loss": 0.4118,
|
3474 |
+
"step": 495
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 1.8832463217845277,
|
3478 |
+
"grad_norm": 0.9904822111129761,
|
3479 |
+
"learning_rate": 4.44590050220306e-08,
|
3480 |
+
"loss": 0.3383,
|
3481 |
+
"step": 496
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 1.8870431893687707,
|
3485 |
+
"grad_norm": 1.4921010732650757,
|
3486 |
+
"learning_rate": 4.155257192432205e-08,
|
3487 |
+
"loss": 0.5024,
|
3488 |
+
"step": 497
|
3489 |
+
},
|
3490 |
+
{
|
3491 |
+
"epoch": 1.8908400569530137,
|
3492 |
+
"grad_norm": 1.2175933122634888,
|
3493 |
+
"learning_rate": 3.874358350920843e-08,
|
3494 |
+
"loss": 0.4521,
|
3495 |
+
"step": 498
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 1.8946369245372567,
|
3499 |
+
"grad_norm": 0.9808973670005798,
|
3500 |
+
"learning_rate": 3.603215111565139e-08,
|
3501 |
+
"loss": 0.3847,
|
3502 |
+
"step": 499
|
3503 |
+
},
|
3504 |
+
{
|
3505 |
+
"epoch": 1.8984337921214998,
|
3506 |
+
"grad_norm": 1.0177325010299683,
|
3507 |
+
"learning_rate": 3.341838221581656e-08,
|
3508 |
+
"loss": 0.433,
|
3509 |
+
"step": 500
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 1.9022306597057428,
|
3513 |
+
"grad_norm": 1.1320708990097046,
|
3514 |
+
"learning_rate": 3.090238041081328e-08,
|
3515 |
+
"loss": 0.4865,
|
3516 |
+
"step": 501
|
3517 |
+
},
|
3518 |
+
{
|
3519 |
+
"epoch": 1.9060275272899858,
|
3520 |
+
"grad_norm": 0.8693588972091675,
|
3521 |
+
"learning_rate": 2.848424542658823e-08,
|
3522 |
+
"loss": 0.3843,
|
3523 |
+
"step": 502
|
3524 |
+
},
|
3525 |
+
{
|
3526 |
+
"epoch": 1.9098243948742288,
|
3527 |
+
"grad_norm": 1.0695801973342896,
|
3528 |
+
"learning_rate": 2.6164073109972986e-08,
|
3529 |
+
"loss": 0.4924,
|
3530 |
+
"step": 503
|
3531 |
+
},
|
3532 |
+
{
|
3533 |
+
"epoch": 1.9136212624584719,
|
3534 |
+
"grad_norm": 1.0257716178894043,
|
3535 |
+
"learning_rate": 2.3941955424884312e-08,
|
3536 |
+
"loss": 0.4785,
|
3537 |
+
"step": 504
|
3538 |
+
},
|
3539 |
+
{
|
3540 |
+
"epoch": 1.9174181300427149,
|
3541 |
+
"grad_norm": 0.8927969932556152,
|
3542 |
+
"learning_rate": 2.1817980448679553e-08,
|
3543 |
+
"loss": 0.4477,
|
3544 |
+
"step": 505
|
3545 |
+
},
|
3546 |
+
{
|
3547 |
+
"epoch": 1.921214997626958,
|
3548 |
+
"grad_norm": 0.960476815700531,
|
3549 |
+
"learning_rate": 1.979223236866501e-08,
|
3550 |
+
"loss": 0.484,
|
3551 |
+
"step": 506
|
3552 |
+
},
|
3553 |
+
{
|
3554 |
+
"epoch": 1.9250118652112007,
|
3555 |
+
"grad_norm": 0.8209058046340942,
|
3556 |
+
"learning_rate": 1.7864791478760245e-08,
|
3557 |
+
"loss": 0.4217,
|
3558 |
+
"step": 507
|
3559 |
+
},
|
3560 |
+
{
|
3561 |
+
"epoch": 1.9288087327954437,
|
3562 |
+
"grad_norm": 0.815679669380188,
|
3563 |
+
"learning_rate": 1.603573417631371e-08,
|
3564 |
+
"loss": 0.4293,
|
3565 |
+
"step": 508
|
3566 |
+
},
|
3567 |
+
{
|
3568 |
+
"epoch": 1.9326056003796868,
|
3569 |
+
"grad_norm": 0.9071650505065918,
|
3570 |
+
"learning_rate": 1.4305132959075706e-08,
|
3571 |
+
"loss": 0.4821,
|
3572 |
+
"step": 509
|
3573 |
+
},
|
3574 |
+
{
|
3575 |
+
"epoch": 1.9364024679639298,
|
3576 |
+
"grad_norm": 0.9293763637542725,
|
3577 |
+
"learning_rate": 1.2673056422325413e-08,
|
3578 |
+
"loss": 0.4737,
|
3579 |
+
"step": 510
|
3580 |
+
},
|
3581 |
+
{
|
3582 |
+
"epoch": 1.9401993355481728,
|
3583 |
+
"grad_norm": 0.8001239895820618,
|
3584 |
+
"learning_rate": 1.1139569256150285e-08,
|
3585 |
+
"loss": 0.4284,
|
3586 |
+
"step": 511
|
3587 |
+
},
|
3588 |
+
{
|
3589 |
+
"epoch": 1.9439962031324156,
|
3590 |
+
"grad_norm": 0.7981712222099304,
|
3591 |
+
"learning_rate": 9.704732242883374e-09,
|
3592 |
+
"loss": 0.4344,
|
3593 |
+
"step": 512
|
3594 |
+
},
|
3595 |
+
{
|
3596 |
+
"epoch": 1.9477930707166586,
|
3597 |
+
"grad_norm": 0.5713729858398438,
|
3598 |
+
"learning_rate": 8.368602254693603e-09,
|
3599 |
+
"loss": 0.3397,
|
3600 |
+
"step": 513
|
3601 |
+
},
|
3602 |
+
{
|
3603 |
+
"epoch": 1.9515899383009017,
|
3604 |
+
"grad_norm": 0.7548425197601318,
|
3605 |
+
"learning_rate": 7.131232251331721e-09,
|
3606 |
+
"loss": 0.4207,
|
3607 |
+
"step": 514
|
3608 |
+
},
|
3609 |
+
{
|
3610 |
+
"epoch": 1.9553868058851447,
|
3611 |
+
"grad_norm": 0.6806543469429016,
|
3612 |
+
"learning_rate": 5.992671278030327e-09,
|
3613 |
+
"loss": 0.4099,
|
3614 |
+
"step": 515
|
3615 |
+
},
|
3616 |
+
{
|
3617 |
+
"epoch": 1.9591836734693877,
|
3618 |
+
"grad_norm": 0.836120069026947,
|
3619 |
+
"learning_rate": 4.952964463561805e-09,
|
3620 |
+
"loss": 0.4671,
|
3621 |
+
"step": 516
|
3622 |
+
},
|
3623 |
+
{
|
3624 |
+
"epoch": 1.9629805410536307,
|
3625 |
+
"grad_norm": 0.662464439868927,
|
3626 |
+
"learning_rate": 4.012153018446984e-09,
|
3627 |
+
"loss": 0.3776,
|
3628 |
+
"step": 517
|
3629 |
+
},
|
3630 |
+
{
|
3631 |
+
"epoch": 1.9667774086378738,
|
3632 |
+
"grad_norm": 0.7680605053901672,
|
3633 |
+
"learning_rate": 3.170274233324222e-09,
|
3634 |
+
"loss": 0.4336,
|
3635 |
+
"step": 518
|
3636 |
+
},
|
3637 |
+
{
|
3638 |
+
"epoch": 1.9705742762221168,
|
3639 |
+
"grad_norm": 0.7456918954849243,
|
3640 |
+
"learning_rate": 2.4273614774691923e-09,
|
3641 |
+
"loss": 0.4209,
|
3642 |
+
"step": 519
|
3643 |
+
},
|
3644 |
+
{
|
3645 |
+
"epoch": 1.9743711438063598,
|
3646 |
+
"grad_norm": 0.7245385050773621,
|
3647 |
+
"learning_rate": 1.7834441974740047e-09,
|
3648 |
+
"loss": 0.4,
|
3649 |
+
"step": 520
|
3650 |
+
},
|
3651 |
+
{
|
3652 |
+
"epoch": 1.9781680113906028,
|
3653 |
+
"grad_norm": 0.6544315814971924,
|
3654 |
+
"learning_rate": 1.2385479160784141e-09,
|
3655 |
+
"loss": 0.3741,
|
3656 |
+
"step": 521
|
3657 |
+
},
|
3658 |
+
{
|
3659 |
+
"epoch": 1.9819648789748459,
|
3660 |
+
"grad_norm": 0.721889317035675,
|
3661 |
+
"learning_rate": 7.926942311597962e-10,
|
3662 |
+
"loss": 0.4156,
|
3663 |
+
"step": 522
|
3664 |
+
},
|
3665 |
+
{
|
3666 |
+
"epoch": 1.9857617465590889,
|
3667 |
+
"grad_norm": 0.8772999048233032,
|
3668 |
+
"learning_rate": 4.4590081487577706e-10,
|
3669 |
+
"loss": 0.4664,
|
3670 |
+
"step": 523
|
3671 |
+
},
|
3672 |
+
{
|
3673 |
+
"epoch": 1.989558614143332,
|
3674 |
+
"grad_norm": 0.8888481855392456,
|
3675 |
+
"learning_rate": 1.9818141296451544e-10,
|
3676 |
+
"loss": 0.4626,
|
3677 |
+
"step": 524
|
3678 |
+
},
|
3679 |
+
{
|
3680 |
+
"epoch": 1.9933554817275747,
|
3681 |
+
"grad_norm": 0.7575893998146057,
|
3682 |
+
"learning_rate": 4.954584419930575e-11,
|
3683 |
+
"loss": 0.4245,
|
3684 |
+
"step": 525
|
3685 |
+
},
|
3686 |
+
{
|
3687 |
+
"epoch": 1.9971523493118177,
|
3688 |
+
"grad_norm": 0.878999650478363,
|
3689 |
+
"learning_rate": 0.0,
|
3690 |
+
"loss": 0.4739,
|
3691 |
+
"step": 526
|
3692 |
+
}
|
3693 |
+
],
|
3694 |
+
"logging_steps": 1.0,
|
3695 |
+
"max_steps": 526,
|
3696 |
+
"num_input_tokens_seen": 0,
|
3697 |
+
"num_train_epochs": 2,
|
3698 |
+
"save_steps": 500,
|
3699 |
+
"stateful_callbacks": {
|
3700 |
+
"TrainerControl": {
|
3701 |
+
"args": {
|
3702 |
+
"should_epoch_stop": false,
|
3703 |
+
"should_evaluate": false,
|
3704 |
+
"should_log": false,
|
3705 |
+
"should_save": true,
|
3706 |
+
"should_training_stop": true
|
3707 |
+
},
|
3708 |
+
"attributes": {}
|
3709 |
+
}
|
3710 |
+
},
|
3711 |
+
"total_flos": 1.6538932878717747e+18,
|
3712 |
+
"train_batch_size": 1,
|
3713 |
+
"trial_name": null,
|
3714 |
+
"trial_params": null
|
3715 |
+
}
|
checkpoint-526/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a66c2f09cdfe4b739ffb9f91aaae33dcd93a75b26b1c8fda5ddbe3a91ce174d5
|
3 |
+
size 5816
|