Training in progress, epoch 40, checkpoint
Browse files- checkpoint-21160/README.md +9 -0
- checkpoint-21160/adapter_config.json +25 -0
- checkpoint-21160/adapter_model.bin +3 -0
- checkpoint-21160/added_tokens.json +5 -0
- checkpoint-21160/optimizer.pt +3 -0
- checkpoint-21160/rng_state_0.pth +3 -0
- checkpoint-21160/rng_state_1.pth +3 -0
- checkpoint-21160/rng_state_2.pth +3 -0
- checkpoint-21160/rng_state_3.pth +3 -0
- checkpoint-21160/scheduler.pt +3 -0
- checkpoint-21160/special_tokens_map.json +6 -0
- checkpoint-21160/tokenizer.json +0 -0
- checkpoint-21160/tokenizer.model +3 -0
- checkpoint-21160/tokenizer_config.json +40 -0
- checkpoint-21160/trainer_state.json +1885 -0
- checkpoint-21160/training_args.bin +3 -0
checkpoint-21160/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.5.0
|
checkpoint-21160/adapter_config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 16,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"q_proj",
|
18 |
+
"k_proj",
|
19 |
+
"v_proj",
|
20 |
+
"down_proj",
|
21 |
+
"gate_proj",
|
22 |
+
"up_proj"
|
23 |
+
],
|
24 |
+
"task_type": "CAUSAL_LM"
|
25 |
+
}
|
checkpoint-21160/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:91f2494d3bbcef0793c81cee1817a4a07a3a8529828de25aa69217b79fd84bfb
|
3 |
+
size 143269386
|
checkpoint-21160/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</s>": 2,
|
3 |
+
"<s>": 1,
|
4 |
+
"<unk>": 0
|
5 |
+
}
|
checkpoint-21160/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05b28191cd5d79d632efdda41ee3f11e4d0c8c7bd9793e4643c96a239362b8b8
|
3 |
+
size 286585234
|
checkpoint-21160/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d07d7b34a7831544ddcde211c84acb64aef08130fcae223c16d97db479ee4c5e
|
3 |
+
size 15024
|
checkpoint-21160/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ffed6debebb1ad18fa3399e3096a298a9e09f3eb9fdb35c2398d8a7df63b7737
|
3 |
+
size 15024
|
checkpoint-21160/rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f24d64bbf427c3244c88d8e9be36dc9e5ddb55e82743ad71613d1ac490ca8d51
|
3 |
+
size 15024
|
checkpoint-21160/rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c9203a646de7d64bc0223c1e3b63595ef9da24884c6b4cc9db23d627857264bc
|
3 |
+
size 15024
|
checkpoint-21160/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:59b5e41c3b8d28c10856390e4b0333ef4d391c26a9cdc2e12d8f9c297442e5c1
|
3 |
+
size 1064
|
checkpoint-21160/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "</s>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
checkpoint-21160/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-21160/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-21160/tokenizer_config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
}
|
27 |
+
},
|
28 |
+
"additional_special_tokens": [],
|
29 |
+
"bos_token": "<s>",
|
30 |
+
"clean_up_tokenization_spaces": false,
|
31 |
+
"eos_token": "</s>",
|
32 |
+
"legacy": false,
|
33 |
+
"model_max_length": 1000000000000000019884624838656,
|
34 |
+
"pad_token": "</s>",
|
35 |
+
"padding_side": "left",
|
36 |
+
"sp_model_kwargs": {},
|
37 |
+
"tokenizer_class": "LlamaTokenizer",
|
38 |
+
"unk_token": "<unk>",
|
39 |
+
"use_default_system_prompt": true
|
40 |
+
}
|
checkpoint-21160/trainer_state.json
ADDED
@@ -0,0 +1,1885 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 40.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 21160,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.19,
|
13 |
+
"learning_rate": 3e-05,
|
14 |
+
"loss": 1.7194,
|
15 |
+
"step": 100
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.38,
|
19 |
+
"learning_rate": 3e-05,
|
20 |
+
"loss": 1.4369,
|
21 |
+
"step": 200
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.57,
|
25 |
+
"learning_rate": 3e-05,
|
26 |
+
"loss": 1.4257,
|
27 |
+
"step": 300
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.76,
|
31 |
+
"learning_rate": 3e-05,
|
32 |
+
"loss": 1.3947,
|
33 |
+
"step": 400
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.95,
|
37 |
+
"learning_rate": 3e-05,
|
38 |
+
"loss": 1.3948,
|
39 |
+
"step": 500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 1.0,
|
43 |
+
"eval_accuracy": 0.6132307692307692,
|
44 |
+
"eval_loss": 1.3087366819381714,
|
45 |
+
"eval_runtime": 4.3553,
|
46 |
+
"eval_samples_per_second": 114.803,
|
47 |
+
"eval_steps_per_second": 14.465,
|
48 |
+
"step": 529
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 1.0,
|
52 |
+
"eval_exact_match": 24.4,
|
53 |
+
"eval_f1": 37.614420394420414,
|
54 |
+
"step": 529
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 1.13,
|
58 |
+
"learning_rate": 3e-05,
|
59 |
+
"loss": 1.3927,
|
60 |
+
"step": 600
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.32,
|
64 |
+
"learning_rate": 3e-05,
|
65 |
+
"loss": 1.3644,
|
66 |
+
"step": 700
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.51,
|
70 |
+
"learning_rate": 3e-05,
|
71 |
+
"loss": 1.3791,
|
72 |
+
"step": 800
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.7,
|
76 |
+
"learning_rate": 3e-05,
|
77 |
+
"loss": 1.3627,
|
78 |
+
"step": 900
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 1.89,
|
82 |
+
"learning_rate": 3e-05,
|
83 |
+
"loss": 1.3789,
|
84 |
+
"step": 1000
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 2.0,
|
88 |
+
"eval_accuracy": 0.6146153846153846,
|
89 |
+
"eval_loss": 1.289727807044983,
|
90 |
+
"eval_runtime": 4.4281,
|
91 |
+
"eval_samples_per_second": 112.915,
|
92 |
+
"eval_steps_per_second": 14.227,
|
93 |
+
"step": 1058
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.0,
|
97 |
+
"eval_exact_match": 23.2,
|
98 |
+
"eval_f1": 35.56775335775336,
|
99 |
+
"step": 1058
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 2.08,
|
103 |
+
"learning_rate": 3e-05,
|
104 |
+
"loss": 1.3605,
|
105 |
+
"step": 1100
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 2.27,
|
109 |
+
"learning_rate": 3e-05,
|
110 |
+
"loss": 1.3306,
|
111 |
+
"step": 1200
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.46,
|
115 |
+
"learning_rate": 3e-05,
|
116 |
+
"loss": 1.3318,
|
117 |
+
"step": 1300
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 2.65,
|
121 |
+
"learning_rate": 3e-05,
|
122 |
+
"loss": 1.3491,
|
123 |
+
"step": 1400
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.84,
|
127 |
+
"learning_rate": 3e-05,
|
128 |
+
"loss": 1.3259,
|
129 |
+
"step": 1500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 3.0,
|
133 |
+
"eval_accuracy": 0.6178974358974358,
|
134 |
+
"eval_loss": 1.2849316596984863,
|
135 |
+
"eval_runtime": 4.875,
|
136 |
+
"eval_samples_per_second": 102.565,
|
137 |
+
"eval_steps_per_second": 12.923,
|
138 |
+
"step": 1587
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 3.0,
|
142 |
+
"eval_exact_match": 25.2,
|
143 |
+
"eval_f1": 37.32698412698414,
|
144 |
+
"step": 1587
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 3.02,
|
148 |
+
"learning_rate": 3e-05,
|
149 |
+
"loss": 1.3255,
|
150 |
+
"step": 1600
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 3.21,
|
154 |
+
"learning_rate": 3e-05,
|
155 |
+
"loss": 1.28,
|
156 |
+
"step": 1700
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.4,
|
160 |
+
"learning_rate": 3e-05,
|
161 |
+
"loss": 1.2995,
|
162 |
+
"step": 1800
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 3.59,
|
166 |
+
"learning_rate": 3e-05,
|
167 |
+
"loss": 1.2991,
|
168 |
+
"step": 1900
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 3.78,
|
172 |
+
"learning_rate": 3e-05,
|
173 |
+
"loss": 1.3024,
|
174 |
+
"step": 2000
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 3.97,
|
178 |
+
"learning_rate": 3e-05,
|
179 |
+
"loss": 1.2853,
|
180 |
+
"step": 2100
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 4.0,
|
184 |
+
"eval_accuracy": 0.615948717948718,
|
185 |
+
"eval_loss": 1.316924810409546,
|
186 |
+
"eval_runtime": 5.3385,
|
187 |
+
"eval_samples_per_second": 93.659,
|
188 |
+
"eval_steps_per_second": 11.801,
|
189 |
+
"step": 2116
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 4.0,
|
193 |
+
"eval_exact_match": 23.8,
|
194 |
+
"eval_f1": 36.284920634920645,
|
195 |
+
"step": 2116
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 4.16,
|
199 |
+
"learning_rate": 3e-05,
|
200 |
+
"loss": 1.2575,
|
201 |
+
"step": 2200
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 4.35,
|
205 |
+
"learning_rate": 3e-05,
|
206 |
+
"loss": 1.2261,
|
207 |
+
"step": 2300
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 4.54,
|
211 |
+
"learning_rate": 3e-05,
|
212 |
+
"loss": 1.2536,
|
213 |
+
"step": 2400
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.73,
|
217 |
+
"learning_rate": 3e-05,
|
218 |
+
"loss": 1.2376,
|
219 |
+
"step": 2500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 4.91,
|
223 |
+
"learning_rate": 3e-05,
|
224 |
+
"loss": 1.2556,
|
225 |
+
"step": 2600
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 5.0,
|
229 |
+
"eval_accuracy": 0.6131794871794872,
|
230 |
+
"eval_loss": 1.3531945943832397,
|
231 |
+
"eval_runtime": 4.4382,
|
232 |
+
"eval_samples_per_second": 112.659,
|
233 |
+
"eval_steps_per_second": 14.195,
|
234 |
+
"step": 2645
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 5.0,
|
238 |
+
"eval_exact_match": 25.8,
|
239 |
+
"eval_f1": 37.67571428571429,
|
240 |
+
"step": 2645
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 5.1,
|
244 |
+
"learning_rate": 3e-05,
|
245 |
+
"loss": 1.2195,
|
246 |
+
"step": 2700
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 5.29,
|
250 |
+
"learning_rate": 3e-05,
|
251 |
+
"loss": 1.2003,
|
252 |
+
"step": 2800
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 5.48,
|
256 |
+
"learning_rate": 3e-05,
|
257 |
+
"loss": 1.1864,
|
258 |
+
"step": 2900
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 5.67,
|
262 |
+
"learning_rate": 3e-05,
|
263 |
+
"loss": 1.2231,
|
264 |
+
"step": 3000
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 5.86,
|
268 |
+
"learning_rate": 3e-05,
|
269 |
+
"loss": 1.1972,
|
270 |
+
"step": 3100
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 6.0,
|
274 |
+
"eval_accuracy": 0.6125641025641025,
|
275 |
+
"eval_loss": 1.4135066270828247,
|
276 |
+
"eval_runtime": 5.0312,
|
277 |
+
"eval_samples_per_second": 99.38,
|
278 |
+
"eval_steps_per_second": 12.522,
|
279 |
+
"step": 3174
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 6.0,
|
283 |
+
"eval_exact_match": 24.0,
|
284 |
+
"eval_f1": 36.140952380952385,
|
285 |
+
"step": 3174
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 6.05,
|
289 |
+
"learning_rate": 3e-05,
|
290 |
+
"loss": 1.1889,
|
291 |
+
"step": 3200
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 6.24,
|
295 |
+
"learning_rate": 3e-05,
|
296 |
+
"loss": 1.1471,
|
297 |
+
"step": 3300
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 6.43,
|
301 |
+
"learning_rate": 3e-05,
|
302 |
+
"loss": 1.1509,
|
303 |
+
"step": 3400
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 6.62,
|
307 |
+
"learning_rate": 3e-05,
|
308 |
+
"loss": 1.1654,
|
309 |
+
"step": 3500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 6.81,
|
313 |
+
"learning_rate": 3e-05,
|
314 |
+
"loss": 1.1716,
|
315 |
+
"step": 3600
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 6.99,
|
319 |
+
"learning_rate": 3e-05,
|
320 |
+
"loss": 1.1839,
|
321 |
+
"step": 3700
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 7.0,
|
325 |
+
"eval_accuracy": 0.6081025641025641,
|
326 |
+
"eval_loss": 1.500714898109436,
|
327 |
+
"eval_runtime": 4.4677,
|
328 |
+
"eval_samples_per_second": 111.916,
|
329 |
+
"eval_steps_per_second": 14.101,
|
330 |
+
"step": 3703
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 7.0,
|
334 |
+
"eval_exact_match": 22.8,
|
335 |
+
"eval_f1": 33.44777777777779,
|
336 |
+
"step": 3703
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 7.18,
|
340 |
+
"learning_rate": 3e-05,
|
341 |
+
"loss": 1.1059,
|
342 |
+
"step": 3800
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 7.37,
|
346 |
+
"learning_rate": 3e-05,
|
347 |
+
"loss": 1.1146,
|
348 |
+
"step": 3900
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 7.56,
|
352 |
+
"learning_rate": 3e-05,
|
353 |
+
"loss": 1.1121,
|
354 |
+
"step": 4000
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 7.75,
|
358 |
+
"learning_rate": 3e-05,
|
359 |
+
"loss": 1.1286,
|
360 |
+
"step": 4100
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 7.94,
|
364 |
+
"learning_rate": 3e-05,
|
365 |
+
"loss": 1.1334,
|
366 |
+
"step": 4200
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 8.0,
|
370 |
+
"eval_accuracy": 0.6074358974358974,
|
371 |
+
"eval_loss": 1.524243950843811,
|
372 |
+
"eval_runtime": 4.2161,
|
373 |
+
"eval_samples_per_second": 118.592,
|
374 |
+
"eval_steps_per_second": 14.943,
|
375 |
+
"step": 4232
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 8.0,
|
379 |
+
"eval_exact_match": 23.2,
|
380 |
+
"eval_f1": 34.507792207792214,
|
381 |
+
"step": 4232
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 8.13,
|
385 |
+
"learning_rate": 3e-05,
|
386 |
+
"loss": 1.1072,
|
387 |
+
"step": 4300
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 8.32,
|
391 |
+
"learning_rate": 3e-05,
|
392 |
+
"loss": 1.0626,
|
393 |
+
"step": 4400
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 8.51,
|
397 |
+
"learning_rate": 3e-05,
|
398 |
+
"loss": 1.0842,
|
399 |
+
"step": 4500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 8.7,
|
403 |
+
"learning_rate": 3e-05,
|
404 |
+
"loss": 1.0812,
|
405 |
+
"step": 4600
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 8.88,
|
409 |
+
"learning_rate": 3e-05,
|
410 |
+
"loss": 1.0966,
|
411 |
+
"step": 4700
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 9.0,
|
415 |
+
"eval_accuracy": 0.5802564102564103,
|
416 |
+
"eval_loss": 1.6106736660003662,
|
417 |
+
"eval_runtime": 4.2194,
|
418 |
+
"eval_samples_per_second": 118.5,
|
419 |
+
"eval_steps_per_second": 14.931,
|
420 |
+
"step": 4761
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 9.0,
|
424 |
+
"eval_exact_match": 22.8,
|
425 |
+
"eval_f1": 34.45666666666666,
|
426 |
+
"step": 4761
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 9.07,
|
430 |
+
"learning_rate": 3e-05,
|
431 |
+
"loss": 1.0755,
|
432 |
+
"step": 4800
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 9.26,
|
436 |
+
"learning_rate": 3e-05,
|
437 |
+
"loss": 1.0189,
|
438 |
+
"step": 4900
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 9.45,
|
442 |
+
"learning_rate": 3e-05,
|
443 |
+
"loss": 1.0565,
|
444 |
+
"step": 5000
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 9.64,
|
448 |
+
"learning_rate": 3e-05,
|
449 |
+
"loss": 1.0635,
|
450 |
+
"step": 5100
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 9.83,
|
454 |
+
"learning_rate": 3e-05,
|
455 |
+
"loss": 1.0485,
|
456 |
+
"step": 5200
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 10.0,
|
460 |
+
"eval_accuracy": 0.6049230769230769,
|
461 |
+
"eval_loss": 1.6749216318130493,
|
462 |
+
"eval_runtime": 4.8521,
|
463 |
+
"eval_samples_per_second": 103.048,
|
464 |
+
"eval_steps_per_second": 12.984,
|
465 |
+
"step": 5290
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 10.0,
|
469 |
+
"eval_exact_match": 22.8,
|
470 |
+
"eval_f1": 34.3535064935065,
|
471 |
+
"step": 5290
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 10.02,
|
475 |
+
"learning_rate": 3e-05,
|
476 |
+
"loss": 1.0585,
|
477 |
+
"step": 5300
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 10.21,
|
481 |
+
"learning_rate": 3e-05,
|
482 |
+
"loss": 1.0098,
|
483 |
+
"step": 5400
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 10.4,
|
487 |
+
"learning_rate": 3e-05,
|
488 |
+
"loss": 0.9935,
|
489 |
+
"step": 5500
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 10.59,
|
493 |
+
"learning_rate": 3e-05,
|
494 |
+
"loss": 1.0178,
|
495 |
+
"step": 5600
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 10.78,
|
499 |
+
"learning_rate": 3e-05,
|
500 |
+
"loss": 1.0217,
|
501 |
+
"step": 5700
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 10.96,
|
505 |
+
"learning_rate": 3e-05,
|
506 |
+
"loss": 1.021,
|
507 |
+
"step": 5800
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 11.0,
|
511 |
+
"eval_accuracy": 0.6014871794871794,
|
512 |
+
"eval_loss": 1.7323671579360962,
|
513 |
+
"eval_runtime": 4.4139,
|
514 |
+
"eval_samples_per_second": 113.28,
|
515 |
+
"eval_steps_per_second": 14.273,
|
516 |
+
"step": 5819
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 11.0,
|
520 |
+
"eval_exact_match": 22.4,
|
521 |
+
"eval_f1": 34.060490620490626,
|
522 |
+
"step": 5819
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 11.15,
|
526 |
+
"learning_rate": 3e-05,
|
527 |
+
"loss": 0.9788,
|
528 |
+
"step": 5900
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 11.34,
|
532 |
+
"learning_rate": 3e-05,
|
533 |
+
"loss": 0.9799,
|
534 |
+
"step": 6000
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 11.53,
|
538 |
+
"learning_rate": 3e-05,
|
539 |
+
"loss": 0.9749,
|
540 |
+
"step": 6100
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 11.72,
|
544 |
+
"learning_rate": 3e-05,
|
545 |
+
"loss": 0.981,
|
546 |
+
"step": 6200
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 11.91,
|
550 |
+
"learning_rate": 3e-05,
|
551 |
+
"loss": 0.9918,
|
552 |
+
"step": 6300
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 12.0,
|
556 |
+
"eval_accuracy": 0.6007179487179487,
|
557 |
+
"eval_loss": 1.7632156610488892,
|
558 |
+
"eval_runtime": 4.4251,
|
559 |
+
"eval_samples_per_second": 112.992,
|
560 |
+
"eval_steps_per_second": 14.237,
|
561 |
+
"step": 6348
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 12.0,
|
565 |
+
"eval_exact_match": 22.4,
|
566 |
+
"eval_f1": 33.017142857142865,
|
567 |
+
"step": 6348
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 12.1,
|
571 |
+
"learning_rate": 3e-05,
|
572 |
+
"loss": 0.967,
|
573 |
+
"step": 6400
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 12.29,
|
577 |
+
"learning_rate": 3e-05,
|
578 |
+
"loss": 0.9341,
|
579 |
+
"step": 6500
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 12.48,
|
583 |
+
"learning_rate": 3e-05,
|
584 |
+
"loss": 0.9656,
|
585 |
+
"step": 6600
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 12.67,
|
589 |
+
"learning_rate": 3e-05,
|
590 |
+
"loss": 0.9519,
|
591 |
+
"step": 6700
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 12.85,
|
595 |
+
"learning_rate": 3e-05,
|
596 |
+
"loss": 0.947,
|
597 |
+
"step": 6800
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 13.0,
|
601 |
+
"eval_accuracy": 0.6010769230769231,
|
602 |
+
"eval_loss": 1.8302537202835083,
|
603 |
+
"eval_runtime": 4.849,
|
604 |
+
"eval_samples_per_second": 103.115,
|
605 |
+
"eval_steps_per_second": 12.992,
|
606 |
+
"step": 6877
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 13.0,
|
610 |
+
"eval_exact_match": 21.6,
|
611 |
+
"eval_f1": 32.89746031746034,
|
612 |
+
"step": 6877
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 13.04,
|
616 |
+
"learning_rate": 3e-05,
|
617 |
+
"loss": 0.9461,
|
618 |
+
"step": 6900
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 13.23,
|
622 |
+
"learning_rate": 3e-05,
|
623 |
+
"loss": 0.9153,
|
624 |
+
"step": 7000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 13.42,
|
628 |
+
"learning_rate": 3e-05,
|
629 |
+
"loss": 0.9166,
|
630 |
+
"step": 7100
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 13.61,
|
634 |
+
"learning_rate": 3e-05,
|
635 |
+
"loss": 0.9266,
|
636 |
+
"step": 7200
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 13.8,
|
640 |
+
"learning_rate": 3e-05,
|
641 |
+
"loss": 0.9089,
|
642 |
+
"step": 7300
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 13.99,
|
646 |
+
"learning_rate": 3e-05,
|
647 |
+
"loss": 0.9376,
|
648 |
+
"step": 7400
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 14.0,
|
652 |
+
"eval_accuracy": 0.5990769230769231,
|
653 |
+
"eval_loss": 1.8872731924057007,
|
654 |
+
"eval_runtime": 4.1087,
|
655 |
+
"eval_samples_per_second": 121.694,
|
656 |
+
"eval_steps_per_second": 15.333,
|
657 |
+
"step": 7406
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 14.0,
|
661 |
+
"eval_exact_match": 20.8,
|
662 |
+
"eval_f1": 32.45952380952382,
|
663 |
+
"step": 7406
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 14.18,
|
667 |
+
"learning_rate": 3e-05,
|
668 |
+
"loss": 0.8792,
|
669 |
+
"step": 7500
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 14.37,
|
673 |
+
"learning_rate": 3e-05,
|
674 |
+
"loss": 0.8787,
|
675 |
+
"step": 7600
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 14.56,
|
679 |
+
"learning_rate": 3e-05,
|
680 |
+
"loss": 0.874,
|
681 |
+
"step": 7700
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 14.74,
|
685 |
+
"learning_rate": 3e-05,
|
686 |
+
"loss": 0.9123,
|
687 |
+
"step": 7800
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 14.93,
|
691 |
+
"learning_rate": 3e-05,
|
692 |
+
"loss": 0.898,
|
693 |
+
"step": 7900
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 15.0,
|
697 |
+
"eval_accuracy": 0.5975897435897436,
|
698 |
+
"eval_loss": 1.96884024143219,
|
699 |
+
"eval_runtime": 4.5009,
|
700 |
+
"eval_samples_per_second": 111.09,
|
701 |
+
"eval_steps_per_second": 13.997,
|
702 |
+
"step": 7935
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 15.0,
|
706 |
+
"eval_exact_match": 20.6,
|
707 |
+
"eval_f1": 31.090952380952388,
|
708 |
+
"step": 7935
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 15.12,
|
712 |
+
"learning_rate": 3e-05,
|
713 |
+
"loss": 0.8631,
|
714 |
+
"step": 8000
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 15.31,
|
718 |
+
"learning_rate": 3e-05,
|
719 |
+
"loss": 0.8353,
|
720 |
+
"step": 8100
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 15.5,
|
724 |
+
"learning_rate": 3e-05,
|
725 |
+
"loss": 0.8673,
|
726 |
+
"step": 8200
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 15.69,
|
730 |
+
"learning_rate": 3e-05,
|
731 |
+
"loss": 0.8515,
|
732 |
+
"step": 8300
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 15.88,
|
736 |
+
"learning_rate": 3e-05,
|
737 |
+
"loss": 0.8559,
|
738 |
+
"step": 8400
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 16.0,
|
742 |
+
"eval_accuracy": 0.5987692307692307,
|
743 |
+
"eval_loss": 1.9724328517913818,
|
744 |
+
"eval_runtime": 4.5341,
|
745 |
+
"eval_samples_per_second": 110.275,
|
746 |
+
"eval_steps_per_second": 13.895,
|
747 |
+
"step": 8464
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 16.0,
|
751 |
+
"eval_exact_match": 21.4,
|
752 |
+
"eval_f1": 32.21255411255413,
|
753 |
+
"step": 8464
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 16.07,
|
757 |
+
"learning_rate": 3e-05,
|
758 |
+
"loss": 0.8508,
|
759 |
+
"step": 8500
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 16.26,
|
763 |
+
"learning_rate": 3e-05,
|
764 |
+
"loss": 0.8122,
|
765 |
+
"step": 8600
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 16.45,
|
769 |
+
"learning_rate": 3e-05,
|
770 |
+
"loss": 0.8223,
|
771 |
+
"step": 8700
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 16.64,
|
775 |
+
"learning_rate": 3e-05,
|
776 |
+
"loss": 0.8275,
|
777 |
+
"step": 8800
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 16.82,
|
781 |
+
"learning_rate": 3e-05,
|
782 |
+
"loss": 0.8348,
|
783 |
+
"step": 8900
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 17.0,
|
787 |
+
"eval_accuracy": 0.5713846153846154,
|
788 |
+
"eval_loss": 1.9815243482589722,
|
789 |
+
"eval_runtime": 5.0655,
|
790 |
+
"eval_samples_per_second": 98.706,
|
791 |
+
"eval_steps_per_second": 12.437,
|
792 |
+
"step": 8993
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 17.0,
|
796 |
+
"eval_exact_match": 20.0,
|
797 |
+
"eval_f1": 30.670173160173174,
|
798 |
+
"step": 8993
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 17.01,
|
802 |
+
"learning_rate": 3e-05,
|
803 |
+
"loss": 0.837,
|
804 |
+
"step": 9000
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 17.2,
|
808 |
+
"learning_rate": 3e-05,
|
809 |
+
"loss": 0.7764,
|
810 |
+
"step": 9100
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 17.39,
|
814 |
+
"learning_rate": 3e-05,
|
815 |
+
"loss": 0.7817,
|
816 |
+
"step": 9200
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 17.58,
|
820 |
+
"learning_rate": 3e-05,
|
821 |
+
"loss": 0.8068,
|
822 |
+
"step": 9300
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 17.77,
|
826 |
+
"learning_rate": 3e-05,
|
827 |
+
"loss": 0.7968,
|
828 |
+
"step": 9400
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 17.96,
|
832 |
+
"learning_rate": 3e-05,
|
833 |
+
"loss": 0.8106,
|
834 |
+
"step": 9500
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 18.0,
|
838 |
+
"eval_accuracy": 0.598,
|
839 |
+
"eval_loss": 2.038572072982788,
|
840 |
+
"eval_runtime": 4.2168,
|
841 |
+
"eval_samples_per_second": 118.574,
|
842 |
+
"eval_steps_per_second": 14.94,
|
843 |
+
"step": 9522
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 18.0,
|
847 |
+
"eval_exact_match": 19.2,
|
848 |
+
"eval_f1": 30.44984126984128,
|
849 |
+
"step": 9522
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 18.15,
|
853 |
+
"learning_rate": 3e-05,
|
854 |
+
"loss": 0.7697,
|
855 |
+
"step": 9600
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 18.34,
|
859 |
+
"learning_rate": 3e-05,
|
860 |
+
"loss": 0.7429,
|
861 |
+
"step": 9700
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 18.53,
|
865 |
+
"learning_rate": 3e-05,
|
866 |
+
"loss": 0.7468,
|
867 |
+
"step": 9800
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 18.71,
|
871 |
+
"learning_rate": 3e-05,
|
872 |
+
"loss": 0.7667,
|
873 |
+
"step": 9900
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 18.9,
|
877 |
+
"learning_rate": 3e-05,
|
878 |
+
"loss": 0.7848,
|
879 |
+
"step": 10000
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 19.0,
|
883 |
+
"eval_accuracy": 0.5963589743589743,
|
884 |
+
"eval_loss": 2.0627450942993164,
|
885 |
+
"eval_runtime": 4.2486,
|
886 |
+
"eval_samples_per_second": 117.685,
|
887 |
+
"eval_steps_per_second": 14.828,
|
888 |
+
"step": 10051
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 19.0,
|
892 |
+
"eval_exact_match": 19.0,
|
893 |
+
"eval_f1": 29.635238095238098,
|
894 |
+
"step": 10051
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 19.09,
|
898 |
+
"learning_rate": 3e-05,
|
899 |
+
"loss": 0.7537,
|
900 |
+
"step": 10100
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 19.28,
|
904 |
+
"learning_rate": 3e-05,
|
905 |
+
"loss": 0.718,
|
906 |
+
"step": 10200
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 19.47,
|
910 |
+
"learning_rate": 3e-05,
|
911 |
+
"loss": 0.7241,
|
912 |
+
"step": 10300
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 19.66,
|
916 |
+
"learning_rate": 3e-05,
|
917 |
+
"loss": 0.7421,
|
918 |
+
"step": 10400
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 19.85,
|
922 |
+
"learning_rate": 3e-05,
|
923 |
+
"loss": 0.745,
|
924 |
+
"step": 10500
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 20.0,
|
928 |
+
"eval_accuracy": 0.5965641025641025,
|
929 |
+
"eval_loss": 2.0825321674346924,
|
930 |
+
"eval_runtime": 4.9023,
|
931 |
+
"eval_samples_per_second": 101.993,
|
932 |
+
"eval_steps_per_second": 12.851,
|
933 |
+
"step": 10580
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 20.0,
|
937 |
+
"eval_exact_match": 16.0,
|
938 |
+
"eval_f1": 25.784563976747563,
|
939 |
+
"step": 10580
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 20.04,
|
943 |
+
"learning_rate": 3e-05,
|
944 |
+
"loss": 0.7384,
|
945 |
+
"step": 10600
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 20.23,
|
949 |
+
"learning_rate": 3e-05,
|
950 |
+
"loss": 0.6786,
|
951 |
+
"step": 10700
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 20.42,
|
955 |
+
"learning_rate": 3e-05,
|
956 |
+
"loss": 0.6921,
|
957 |
+
"step": 10800
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 20.6,
|
961 |
+
"learning_rate": 3e-05,
|
962 |
+
"loss": 0.7092,
|
963 |
+
"step": 10900
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 20.79,
|
967 |
+
"learning_rate": 3e-05,
|
968 |
+
"loss": 0.7248,
|
969 |
+
"step": 11000
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 20.98,
|
973 |
+
"learning_rate": 3e-05,
|
974 |
+
"loss": 0.7208,
|
975 |
+
"step": 11100
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 21.0,
|
979 |
+
"eval_accuracy": 0.595948717948718,
|
980 |
+
"eval_loss": 2.0958657264709473,
|
981 |
+
"eval_runtime": 4.2167,
|
982 |
+
"eval_samples_per_second": 118.575,
|
983 |
+
"eval_steps_per_second": 14.941,
|
984 |
+
"step": 11109
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 21.0,
|
988 |
+
"eval_exact_match": 9.4,
|
989 |
+
"eval_f1": 15.48481664400564,
|
990 |
+
"step": 11109
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 21.17,
|
994 |
+
"learning_rate": 3e-05,
|
995 |
+
"loss": 0.6604,
|
996 |
+
"step": 11200
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 21.36,
|
1000 |
+
"learning_rate": 3e-05,
|
1001 |
+
"loss": 0.6599,
|
1002 |
+
"step": 11300
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 21.55,
|
1006 |
+
"learning_rate": 3e-05,
|
1007 |
+
"loss": 0.6775,
|
1008 |
+
"step": 11400
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 21.74,
|
1012 |
+
"learning_rate": 3e-05,
|
1013 |
+
"loss": 0.7001,
|
1014 |
+
"step": 11500
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 21.93,
|
1018 |
+
"learning_rate": 3e-05,
|
1019 |
+
"loss": 0.6842,
|
1020 |
+
"step": 11600
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 22.0,
|
1024 |
+
"eval_accuracy": 0.5967692307692307,
|
1025 |
+
"eval_loss": 2.153414487838745,
|
1026 |
+
"eval_runtime": 4.8531,
|
1027 |
+
"eval_samples_per_second": 103.026,
|
1028 |
+
"eval_steps_per_second": 12.981,
|
1029 |
+
"step": 11638
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 22.0,
|
1033 |
+
"eval_exact_match": 9.2,
|
1034 |
+
"eval_f1": 17.03231000578938,
|
1035 |
+
"step": 11638
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 22.12,
|
1039 |
+
"learning_rate": 3e-05,
|
1040 |
+
"loss": 0.6544,
|
1041 |
+
"step": 11700
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 22.31,
|
1045 |
+
"learning_rate": 3e-05,
|
1046 |
+
"loss": 0.641,
|
1047 |
+
"step": 11800
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 22.5,
|
1051 |
+
"learning_rate": 3e-05,
|
1052 |
+
"loss": 0.6369,
|
1053 |
+
"step": 11900
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 22.68,
|
1057 |
+
"learning_rate": 3e-05,
|
1058 |
+
"loss": 0.6468,
|
1059 |
+
"step": 12000
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 22.87,
|
1063 |
+
"learning_rate": 3e-05,
|
1064 |
+
"loss": 0.6661,
|
1065 |
+
"step": 12100
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 23.0,
|
1069 |
+
"eval_accuracy": 0.5974871794871794,
|
1070 |
+
"eval_loss": 2.179178237915039,
|
1071 |
+
"eval_runtime": 4.8444,
|
1072 |
+
"eval_samples_per_second": 103.211,
|
1073 |
+
"eval_steps_per_second": 13.005,
|
1074 |
+
"step": 12167
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 23.0,
|
1078 |
+
"eval_exact_match": 3.6,
|
1079 |
+
"eval_f1": 7.6552922676511725,
|
1080 |
+
"step": 12167
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 23.06,
|
1084 |
+
"learning_rate": 3e-05,
|
1085 |
+
"loss": 0.6418,
|
1086 |
+
"step": 12200
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 23.25,
|
1090 |
+
"learning_rate": 3e-05,
|
1091 |
+
"loss": 0.6012,
|
1092 |
+
"step": 12300
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 23.44,
|
1096 |
+
"learning_rate": 3e-05,
|
1097 |
+
"loss": 0.6211,
|
1098 |
+
"step": 12400
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 23.63,
|
1102 |
+
"learning_rate": 3e-05,
|
1103 |
+
"loss": 0.6174,
|
1104 |
+
"step": 12500
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 23.82,
|
1108 |
+
"learning_rate": 3e-05,
|
1109 |
+
"loss": 0.6193,
|
1110 |
+
"step": 12600
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 24.0,
|
1114 |
+
"eval_accuracy": 0.5967179487179487,
|
1115 |
+
"eval_loss": 2.152991771697998,
|
1116 |
+
"eval_runtime": 4.429,
|
1117 |
+
"eval_samples_per_second": 112.891,
|
1118 |
+
"eval_steps_per_second": 14.224,
|
1119 |
+
"step": 12696
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 24.0,
|
1123 |
+
"eval_exact_match": 3.2,
|
1124 |
+
"eval_f1": 7.263414468771945,
|
1125 |
+
"step": 12696
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 24.01,
|
1129 |
+
"learning_rate": 3e-05,
|
1130 |
+
"loss": 0.6329,
|
1131 |
+
"step": 12700
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 24.2,
|
1135 |
+
"learning_rate": 3e-05,
|
1136 |
+
"loss": 0.572,
|
1137 |
+
"step": 12800
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 24.39,
|
1141 |
+
"learning_rate": 3e-05,
|
1142 |
+
"loss": 0.585,
|
1143 |
+
"step": 12900
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 24.57,
|
1147 |
+
"learning_rate": 3e-05,
|
1148 |
+
"loss": 0.5894,
|
1149 |
+
"step": 13000
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 24.76,
|
1153 |
+
"learning_rate": 3e-05,
|
1154 |
+
"loss": 0.6002,
|
1155 |
+
"step": 13100
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 24.95,
|
1159 |
+
"learning_rate": 3e-05,
|
1160 |
+
"loss": 0.6064,
|
1161 |
+
"step": 13200
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 25.0,
|
1165 |
+
"eval_accuracy": 0.5957948717948718,
|
1166 |
+
"eval_loss": 2.1720352172851562,
|
1167 |
+
"eval_runtime": 4.1244,
|
1168 |
+
"eval_samples_per_second": 121.23,
|
1169 |
+
"eval_steps_per_second": 15.275,
|
1170 |
+
"step": 13225
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 25.0,
|
1174 |
+
"eval_exact_match": 1.0,
|
1175 |
+
"eval_f1": 2.817526608207056,
|
1176 |
+
"step": 13225
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 25.14,
|
1180 |
+
"learning_rate": 3e-05,
|
1181 |
+
"loss": 0.5603,
|
1182 |
+
"step": 13300
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 25.33,
|
1186 |
+
"learning_rate": 3e-05,
|
1187 |
+
"loss": 0.5438,
|
1188 |
+
"step": 13400
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 25.52,
|
1192 |
+
"learning_rate": 3e-05,
|
1193 |
+
"loss": 0.5718,
|
1194 |
+
"step": 13500
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 25.71,
|
1198 |
+
"learning_rate": 3e-05,
|
1199 |
+
"loss": 0.5804,
|
1200 |
+
"step": 13600
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 25.9,
|
1204 |
+
"learning_rate": 3e-05,
|
1205 |
+
"loss": 0.5776,
|
1206 |
+
"step": 13700
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 26.0,
|
1210 |
+
"eval_accuracy": 0.5965641025641025,
|
1211 |
+
"eval_loss": 2.216242790222168,
|
1212 |
+
"eval_runtime": 4.8581,
|
1213 |
+
"eval_samples_per_second": 102.921,
|
1214 |
+
"eval_steps_per_second": 12.968,
|
1215 |
+
"step": 13754
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 26.0,
|
1219 |
+
"eval_exact_match": 0.6,
|
1220 |
+
"eval_f1": 1.5737055770144102,
|
1221 |
+
"step": 13754
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 26.09,
|
1225 |
+
"learning_rate": 3e-05,
|
1226 |
+
"loss": 0.5613,
|
1227 |
+
"step": 13800
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 26.28,
|
1231 |
+
"learning_rate": 3e-05,
|
1232 |
+
"loss": 0.5267,
|
1233 |
+
"step": 13900
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 26.47,
|
1237 |
+
"learning_rate": 3e-05,
|
1238 |
+
"loss": 0.542,
|
1239 |
+
"step": 14000
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 26.65,
|
1243 |
+
"learning_rate": 3e-05,
|
1244 |
+
"loss": 0.5457,
|
1245 |
+
"step": 14100
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 26.84,
|
1249 |
+
"learning_rate": 3e-05,
|
1250 |
+
"loss": 0.5492,
|
1251 |
+
"step": 14200
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 27.0,
|
1255 |
+
"eval_accuracy": 0.5861538461538461,
|
1256 |
+
"eval_loss": 2.238172769546509,
|
1257 |
+
"eval_runtime": 4.6504,
|
1258 |
+
"eval_samples_per_second": 107.516,
|
1259 |
+
"eval_steps_per_second": 13.547,
|
1260 |
+
"step": 14283
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 27.0,
|
1264 |
+
"eval_exact_match": 0.4,
|
1265 |
+
"eval_f1": 1.9589310673272307,
|
1266 |
+
"step": 14283
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 27.03,
|
1270 |
+
"learning_rate": 3e-05,
|
1271 |
+
"loss": 0.5488,
|
1272 |
+
"step": 14300
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 27.22,
|
1276 |
+
"learning_rate": 3e-05,
|
1277 |
+
"loss": 0.5016,
|
1278 |
+
"step": 14400
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 27.41,
|
1282 |
+
"learning_rate": 3e-05,
|
1283 |
+
"loss": 0.5115,
|
1284 |
+
"step": 14500
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 27.6,
|
1288 |
+
"learning_rate": 3e-05,
|
1289 |
+
"loss": 0.5219,
|
1290 |
+
"step": 14600
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 27.79,
|
1294 |
+
"learning_rate": 3e-05,
|
1295 |
+
"loss": 0.5388,
|
1296 |
+
"step": 14700
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 27.98,
|
1300 |
+
"learning_rate": 3e-05,
|
1301 |
+
"loss": 0.5256,
|
1302 |
+
"step": 14800
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 28.0,
|
1306 |
+
"eval_accuracy": 0.5963076923076923,
|
1307 |
+
"eval_loss": 2.2273213863372803,
|
1308 |
+
"eval_runtime": 4.4195,
|
1309 |
+
"eval_samples_per_second": 113.136,
|
1310 |
+
"eval_steps_per_second": 14.255,
|
1311 |
+
"step": 14812
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 28.0,
|
1315 |
+
"eval_exact_match": 0.6,
|
1316 |
+
"eval_f1": 1.254701854861382,
|
1317 |
+
"step": 14812
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 28.17,
|
1321 |
+
"learning_rate": 3e-05,
|
1322 |
+
"loss": 0.4814,
|
1323 |
+
"step": 14900
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 28.36,
|
1327 |
+
"learning_rate": 3e-05,
|
1328 |
+
"loss": 0.4943,
|
1329 |
+
"step": 15000
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 28.54,
|
1333 |
+
"learning_rate": 3e-05,
|
1334 |
+
"loss": 0.4899,
|
1335 |
+
"step": 15100
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 28.73,
|
1339 |
+
"learning_rate": 3e-05,
|
1340 |
+
"loss": 0.5047,
|
1341 |
+
"step": 15200
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 28.92,
|
1345 |
+
"learning_rate": 3e-05,
|
1346 |
+
"loss": 0.5128,
|
1347 |
+
"step": 15300
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 29.0,
|
1351 |
+
"eval_accuracy": 0.5947692307692307,
|
1352 |
+
"eval_loss": 2.244802713394165,
|
1353 |
+
"eval_runtime": 4.2174,
|
1354 |
+
"eval_samples_per_second": 118.556,
|
1355 |
+
"eval_steps_per_second": 14.938,
|
1356 |
+
"step": 15341
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 29.0,
|
1360 |
+
"eval_exact_match": 0.0,
|
1361 |
+
"eval_f1": 0.3342622661004701,
|
1362 |
+
"step": 15341
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 29.11,
|
1366 |
+
"learning_rate": 3e-05,
|
1367 |
+
"loss": 0.4776,
|
1368 |
+
"step": 15400
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 29.3,
|
1372 |
+
"learning_rate": 3e-05,
|
1373 |
+
"loss": 0.4659,
|
1374 |
+
"step": 15500
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 29.49,
|
1378 |
+
"learning_rate": 3e-05,
|
1379 |
+
"loss": 0.4738,
|
1380 |
+
"step": 15600
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 29.68,
|
1384 |
+
"learning_rate": 3e-05,
|
1385 |
+
"loss": 0.4833,
|
1386 |
+
"step": 15700
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 29.87,
|
1390 |
+
"learning_rate": 3e-05,
|
1391 |
+
"loss": 0.4846,
|
1392 |
+
"step": 15800
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 30.0,
|
1396 |
+
"eval_accuracy": 0.5846153846153846,
|
1397 |
+
"eval_loss": 2.2697417736053467,
|
1398 |
+
"eval_runtime": 4.1128,
|
1399 |
+
"eval_samples_per_second": 121.571,
|
1400 |
+
"eval_steps_per_second": 15.318,
|
1401 |
+
"step": 15870
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 30.0,
|
1405 |
+
"eval_exact_match": 0.0,
|
1406 |
+
"eval_f1": 0.17287697257712523,
|
1407 |
+
"step": 15870
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 30.06,
|
1411 |
+
"learning_rate": 3e-05,
|
1412 |
+
"loss": 0.4719,
|
1413 |
+
"step": 15900
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 30.25,
|
1417 |
+
"learning_rate": 3e-05,
|
1418 |
+
"loss": 0.4404,
|
1419 |
+
"step": 16000
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 30.43,
|
1423 |
+
"learning_rate": 3e-05,
|
1424 |
+
"loss": 0.4533,
|
1425 |
+
"step": 16100
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 30.62,
|
1429 |
+
"learning_rate": 3e-05,
|
1430 |
+
"loss": 0.4623,
|
1431 |
+
"step": 16200
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 30.81,
|
1435 |
+
"learning_rate": 3e-05,
|
1436 |
+
"loss": 0.4623,
|
1437 |
+
"step": 16300
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 31.0,
|
1441 |
+
"eval_accuracy": 0.5968205128205128,
|
1442 |
+
"eval_loss": 2.242527723312378,
|
1443 |
+
"eval_runtime": 4.221,
|
1444 |
+
"eval_samples_per_second": 118.456,
|
1445 |
+
"eval_steps_per_second": 14.925,
|
1446 |
+
"step": 16399
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 31.0,
|
1450 |
+
"eval_exact_match": 0.0,
|
1451 |
+
"eval_f1": 0.03156586531586532,
|
1452 |
+
"step": 16399
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 31.0,
|
1456 |
+
"learning_rate": 3e-05,
|
1457 |
+
"loss": 0.4683,
|
1458 |
+
"step": 16400
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 31.19,
|
1462 |
+
"learning_rate": 3e-05,
|
1463 |
+
"loss": 0.4273,
|
1464 |
+
"step": 16500
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 31.38,
|
1468 |
+
"learning_rate": 3e-05,
|
1469 |
+
"loss": 0.4315,
|
1470 |
+
"step": 16600
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 31.57,
|
1474 |
+
"learning_rate": 3e-05,
|
1475 |
+
"loss": 0.4442,
|
1476 |
+
"step": 16700
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 31.76,
|
1480 |
+
"learning_rate": 3e-05,
|
1481 |
+
"loss": 0.4539,
|
1482 |
+
"step": 16800
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 31.95,
|
1486 |
+
"learning_rate": 3e-05,
|
1487 |
+
"loss": 0.4468,
|
1488 |
+
"step": 16900
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 32.0,
|
1492 |
+
"eval_accuracy": 0.5936410256410256,
|
1493 |
+
"eval_loss": 2.265359401702881,
|
1494 |
+
"eval_runtime": 4.2139,
|
1495 |
+
"eval_samples_per_second": 118.656,
|
1496 |
+
"eval_steps_per_second": 14.951,
|
1497 |
+
"step": 16928
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 32.0,
|
1501 |
+
"eval_exact_match": 0.0,
|
1502 |
+
"eval_f1": 0.0,
|
1503 |
+
"step": 16928
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 32.14,
|
1507 |
+
"learning_rate": 3e-05,
|
1508 |
+
"loss": 0.4321,
|
1509 |
+
"step": 17000
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 32.33,
|
1513 |
+
"learning_rate": 3e-05,
|
1514 |
+
"loss": 0.4213,
|
1515 |
+
"step": 17100
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 32.51,
|
1519 |
+
"learning_rate": 3e-05,
|
1520 |
+
"loss": 0.4312,
|
1521 |
+
"step": 17200
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 32.7,
|
1525 |
+
"learning_rate": 3e-05,
|
1526 |
+
"loss": 0.442,
|
1527 |
+
"step": 17300
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 32.89,
|
1531 |
+
"learning_rate": 3e-05,
|
1532 |
+
"loss": 0.4714,
|
1533 |
+
"step": 17400
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 33.0,
|
1537 |
+
"eval_accuracy": 0.5956923076923077,
|
1538 |
+
"eval_loss": 2.1317203044891357,
|
1539 |
+
"eval_runtime": 4.6149,
|
1540 |
+
"eval_samples_per_second": 108.344,
|
1541 |
+
"eval_steps_per_second": 13.651,
|
1542 |
+
"step": 17457
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 33.0,
|
1546 |
+
"eval_exact_match": 0.0,
|
1547 |
+
"eval_f1": 0.0,
|
1548 |
+
"step": 17457
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 33.08,
|
1552 |
+
"learning_rate": 3e-05,
|
1553 |
+
"loss": 0.913,
|
1554 |
+
"step": 17500
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 33.27,
|
1558 |
+
"learning_rate": 3e-05,
|
1559 |
+
"loss": 1.1341,
|
1560 |
+
"step": 17600
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 33.46,
|
1564 |
+
"learning_rate": 3e-05,
|
1565 |
+
"loss": 0.9858,
|
1566 |
+
"step": 17700
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 33.65,
|
1570 |
+
"learning_rate": 3e-05,
|
1571 |
+
"loss": 0.8735,
|
1572 |
+
"step": 17800
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 33.84,
|
1576 |
+
"learning_rate": 3e-05,
|
1577 |
+
"loss": 0.8308,
|
1578 |
+
"step": 17900
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 34.0,
|
1582 |
+
"eval_accuracy": 0.5973333333333334,
|
1583 |
+
"eval_loss": 1.9391597509384155,
|
1584 |
+
"eval_runtime": 4.8479,
|
1585 |
+
"eval_samples_per_second": 103.137,
|
1586 |
+
"eval_steps_per_second": 12.995,
|
1587 |
+
"step": 17986
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 34.0,
|
1591 |
+
"eval_exact_match": 0.0,
|
1592 |
+
"eval_f1": 0.0,
|
1593 |
+
"step": 17986
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 34.03,
|
1597 |
+
"learning_rate": 3e-05,
|
1598 |
+
"loss": 0.789,
|
1599 |
+
"step": 18000
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 34.22,
|
1603 |
+
"learning_rate": 3e-05,
|
1604 |
+
"loss": 0.7127,
|
1605 |
+
"step": 18100
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 34.4,
|
1609 |
+
"learning_rate": 3e-05,
|
1610 |
+
"loss": 0.7207,
|
1611 |
+
"step": 18200
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 34.59,
|
1615 |
+
"learning_rate": 3e-05,
|
1616 |
+
"loss": 0.6766,
|
1617 |
+
"step": 18300
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 34.78,
|
1621 |
+
"learning_rate": 3e-05,
|
1622 |
+
"loss": 0.6589,
|
1623 |
+
"step": 18400
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 34.97,
|
1627 |
+
"learning_rate": 3e-05,
|
1628 |
+
"loss": 0.6478,
|
1629 |
+
"step": 18500
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 35.0,
|
1633 |
+
"eval_accuracy": 0.5978974358974359,
|
1634 |
+
"eval_loss": 2.034553289413452,
|
1635 |
+
"eval_runtime": 4.1113,
|
1636 |
+
"eval_samples_per_second": 121.615,
|
1637 |
+
"eval_steps_per_second": 15.324,
|
1638 |
+
"step": 18515
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 35.0,
|
1642 |
+
"eval_exact_match": 0.0,
|
1643 |
+
"eval_f1": 0.0,
|
1644 |
+
"step": 18515
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 35.16,
|
1648 |
+
"learning_rate": 3e-05,
|
1649 |
+
"loss": 0.6129,
|
1650 |
+
"step": 18600
|
1651 |
+
},
|
1652 |
+
{
|
1653 |
+
"epoch": 35.35,
|
1654 |
+
"learning_rate": 3e-05,
|
1655 |
+
"loss": 0.6141,
|
1656 |
+
"step": 18700
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 35.54,
|
1660 |
+
"learning_rate": 3e-05,
|
1661 |
+
"loss": 0.605,
|
1662 |
+
"step": 18800
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 35.73,
|
1666 |
+
"learning_rate": 3e-05,
|
1667 |
+
"loss": 0.6031,
|
1668 |
+
"step": 18900
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 35.92,
|
1672 |
+
"learning_rate": 3e-05,
|
1673 |
+
"loss": 0.612,
|
1674 |
+
"step": 19000
|
1675 |
+
},
|
1676 |
+
{
|
1677 |
+
"epoch": 36.0,
|
1678 |
+
"eval_accuracy": 0.5977948717948718,
|
1679 |
+
"eval_loss": 2.08821964263916,
|
1680 |
+
"eval_runtime": 4.4206,
|
1681 |
+
"eval_samples_per_second": 113.108,
|
1682 |
+
"eval_steps_per_second": 14.252,
|
1683 |
+
"step": 19044
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 36.0,
|
1687 |
+
"eval_exact_match": 0.0,
|
1688 |
+
"eval_f1": 0.0,
|
1689 |
+
"step": 19044
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 36.11,
|
1693 |
+
"learning_rate": 3e-05,
|
1694 |
+
"loss": 0.6204,
|
1695 |
+
"step": 19100
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 36.29,
|
1699 |
+
"learning_rate": 3e-05,
|
1700 |
+
"loss": 0.569,
|
1701 |
+
"step": 19200
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 36.48,
|
1705 |
+
"learning_rate": 3e-05,
|
1706 |
+
"loss": 0.5727,
|
1707 |
+
"step": 19300
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 36.67,
|
1711 |
+
"learning_rate": 3e-05,
|
1712 |
+
"loss": 0.6022,
|
1713 |
+
"step": 19400
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 36.86,
|
1717 |
+
"learning_rate": 3e-05,
|
1718 |
+
"loss": 0.5928,
|
1719 |
+
"step": 19500
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 37.0,
|
1723 |
+
"eval_accuracy": 0.596974358974359,
|
1724 |
+
"eval_loss": 2.142036199569702,
|
1725 |
+
"eval_runtime": 4.1124,
|
1726 |
+
"eval_samples_per_second": 121.585,
|
1727 |
+
"eval_steps_per_second": 15.32,
|
1728 |
+
"step": 19573
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 37.0,
|
1732 |
+
"eval_exact_match": 0.0,
|
1733 |
+
"eval_f1": 0.0,
|
1734 |
+
"step": 19573
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 37.05,
|
1738 |
+
"learning_rate": 3e-05,
|
1739 |
+
"loss": 0.5796,
|
1740 |
+
"step": 19600
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 37.24,
|
1744 |
+
"learning_rate": 3e-05,
|
1745 |
+
"loss": 0.5569,
|
1746 |
+
"step": 19700
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 37.43,
|
1750 |
+
"learning_rate": 3e-05,
|
1751 |
+
"loss": 0.5552,
|
1752 |
+
"step": 19800
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 37.62,
|
1756 |
+
"learning_rate": 3e-05,
|
1757 |
+
"loss": 0.5612,
|
1758 |
+
"step": 19900
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 37.81,
|
1762 |
+
"learning_rate": 3e-05,
|
1763 |
+
"loss": 0.5765,
|
1764 |
+
"step": 20000
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 38.0,
|
1768 |
+
"learning_rate": 3e-05,
|
1769 |
+
"loss": 0.5698,
|
1770 |
+
"step": 20100
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 38.0,
|
1774 |
+
"eval_accuracy": 0.5966153846153847,
|
1775 |
+
"eval_loss": 2.156949758529663,
|
1776 |
+
"eval_runtime": 5.1401,
|
1777 |
+
"eval_samples_per_second": 97.274,
|
1778 |
+
"eval_steps_per_second": 12.257,
|
1779 |
+
"step": 20102
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 38.0,
|
1783 |
+
"eval_exact_match": 0.0,
|
1784 |
+
"eval_f1": 0.0,
|
1785 |
+
"step": 20102
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 38.19,
|
1789 |
+
"learning_rate": 3e-05,
|
1790 |
+
"loss": 0.5182,
|
1791 |
+
"step": 20200
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 38.37,
|
1795 |
+
"learning_rate": 3e-05,
|
1796 |
+
"loss": 0.5277,
|
1797 |
+
"step": 20300
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 38.56,
|
1801 |
+
"learning_rate": 3e-05,
|
1802 |
+
"loss": 0.5312,
|
1803 |
+
"step": 20400
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 38.75,
|
1807 |
+
"learning_rate": 3e-05,
|
1808 |
+
"loss": 0.5496,
|
1809 |
+
"step": 20500
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 38.94,
|
1813 |
+
"learning_rate": 3e-05,
|
1814 |
+
"loss": 0.5444,
|
1815 |
+
"step": 20600
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 39.0,
|
1819 |
+
"eval_accuracy": 0.5955897435897436,
|
1820 |
+
"eval_loss": 2.1953744888305664,
|
1821 |
+
"eval_runtime": 4.4179,
|
1822 |
+
"eval_samples_per_second": 113.177,
|
1823 |
+
"eval_steps_per_second": 14.26,
|
1824 |
+
"step": 20631
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 39.0,
|
1828 |
+
"eval_exact_match": 0.0,
|
1829 |
+
"eval_f1": 0.0,
|
1830 |
+
"step": 20631
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 39.13,
|
1834 |
+
"learning_rate": 3e-05,
|
1835 |
+
"loss": 0.5139,
|
1836 |
+
"step": 20700
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 39.32,
|
1840 |
+
"learning_rate": 3e-05,
|
1841 |
+
"loss": 0.5267,
|
1842 |
+
"step": 20800
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 39.51,
|
1846 |
+
"learning_rate": 3e-05,
|
1847 |
+
"loss": 0.5189,
|
1848 |
+
"step": 20900
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 39.7,
|
1852 |
+
"learning_rate": 3e-05,
|
1853 |
+
"loss": 0.5279,
|
1854 |
+
"step": 21000
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 39.89,
|
1858 |
+
"learning_rate": 3e-05,
|
1859 |
+
"loss": 0.5404,
|
1860 |
+
"step": 21100
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 40.0,
|
1864 |
+
"eval_accuracy": 0.5941538461538461,
|
1865 |
+
"eval_loss": 2.17238712310791,
|
1866 |
+
"eval_runtime": 4.4172,
|
1867 |
+
"eval_samples_per_second": 113.194,
|
1868 |
+
"eval_steps_per_second": 14.262,
|
1869 |
+
"step": 21160
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 40.0,
|
1873 |
+
"eval_exact_match": 0.0,
|
1874 |
+
"eval_f1": 0.0,
|
1875 |
+
"step": 21160
|
1876 |
+
}
|
1877 |
+
],
|
1878 |
+
"logging_steps": 100,
|
1879 |
+
"max_steps": 26450,
|
1880 |
+
"num_train_epochs": 50,
|
1881 |
+
"save_steps": 500,
|
1882 |
+
"total_flos": 3.573371429233623e+18,
|
1883 |
+
"trial_name": null,
|
1884 |
+
"trial_params": null
|
1885 |
+
}
|
checkpoint-21160/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec9dd2a1e083127818a65cb4d99f38a0a803e54a476491027d2e996644eba47c
|
3 |
+
size 4728
|