Upload folder using huggingface_hub
Browse files- checkpoint-1000/config.json +28 -0
- checkpoint-1000/generation_config.json +7 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/trainer_state.json +3520 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1500/config.json +28 -0
- checkpoint-1500/generation_config.json +7 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/trainer_state.json +0 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-2000/config.json +28 -0
- checkpoint-2000/generation_config.json +7 -0
- checkpoint-2000/model.safetensors +3 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/trainer_state.json +0 -0
- checkpoint-2000/training_args.bin +3 -0
- checkpoint-2500/config.json +28 -0
- checkpoint-2500/generation_config.json +7 -0
- checkpoint-2500/model.safetensors +3 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/trainer_state.json +0 -0
- checkpoint-2500/training_args.bin +3 -0
- checkpoint-500/config.json +28 -0
- checkpoint-500/generation_config.json +7 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/rng_state.pth +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/trainer_state.json +1770 -0
- checkpoint-500/training_args.bin +3 -0
checkpoint-1000/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float16",
|
25 |
+
"transformers_version": "4.36.0.dev0",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
checkpoint-1000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.0.dev0"
|
7 |
+
}
|
checkpoint-1000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aca7e1e3a7ac58fc36313e66b7502f3d7c4bf03e8869f06228adafb38483f0ae
|
3 |
+
size 2200119664
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8040fb77eaa911da75dd4aa44cced35aeb81d1db5fefe40ceb4c3aa73aef4da4
|
3 |
+
size 2205161786
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8748f9c0f005c51ecb3c36eff4ca818edc4663c6499fe0cdc854d122b22097cf
|
3 |
+
size 14244
|
checkpoint-1000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3d0f25bcc1f1518a06ae036d2fecae79a53374d049e84d421fa0c640ceb01ab1
|
3 |
+
size 1064
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,3520 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.5175316333770752,
|
3 |
+
"best_model_checkpoint": "./results/checkpoint-1000",
|
4 |
+
"epoch": 0.4,
|
5 |
+
"eval_steps": 4,
|
6 |
+
"global_step": 1000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.9951999999999997e-07,
|
14 |
+
"loss": 2.6285,
|
15 |
+
"step": 4
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"eval_loss": 2.4697508811950684,
|
20 |
+
"eval_runtime": 0.485,
|
21 |
+
"eval_samples_per_second": 8.248,
|
22 |
+
"eval_steps_per_second": 2.062,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0,
|
27 |
+
"learning_rate": 2.9904e-07,
|
28 |
+
"loss": 2.6222,
|
29 |
+
"step": 8
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.0,
|
33 |
+
"eval_loss": 2.465975284576416,
|
34 |
+
"eval_runtime": 0.6323,
|
35 |
+
"eval_samples_per_second": 6.326,
|
36 |
+
"eval_steps_per_second": 1.582,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0,
|
41 |
+
"learning_rate": 2.9856e-07,
|
42 |
+
"loss": 2.6536,
|
43 |
+
"step": 12
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.0,
|
47 |
+
"eval_loss": 2.460374116897583,
|
48 |
+
"eval_runtime": 0.6478,
|
49 |
+
"eval_samples_per_second": 6.175,
|
50 |
+
"eval_steps_per_second": 1.544,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.01,
|
55 |
+
"learning_rate": 2.9808e-07,
|
56 |
+
"loss": 2.6785,
|
57 |
+
"step": 16
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.01,
|
61 |
+
"eval_loss": 2.4556970596313477,
|
62 |
+
"eval_runtime": 0.6653,
|
63 |
+
"eval_samples_per_second": 6.012,
|
64 |
+
"eval_steps_per_second": 1.503,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.01,
|
69 |
+
"learning_rate": 2.9759999999999996e-07,
|
70 |
+
"loss": 2.6085,
|
71 |
+
"step": 20
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 0.01,
|
75 |
+
"eval_loss": 2.4514715671539307,
|
76 |
+
"eval_runtime": 0.5241,
|
77 |
+
"eval_samples_per_second": 7.632,
|
78 |
+
"eval_steps_per_second": 1.908,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.01,
|
83 |
+
"learning_rate": 2.9711999999999995e-07,
|
84 |
+
"loss": 2.5907,
|
85 |
+
"step": 24
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 0.01,
|
89 |
+
"eval_loss": 2.4462974071502686,
|
90 |
+
"eval_runtime": 0.4689,
|
91 |
+
"eval_samples_per_second": 8.53,
|
92 |
+
"eval_steps_per_second": 2.133,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.01,
|
97 |
+
"learning_rate": 2.9664e-07,
|
98 |
+
"loss": 2.5942,
|
99 |
+
"step": 28
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.01,
|
103 |
+
"eval_loss": 2.4415194988250732,
|
104 |
+
"eval_runtime": 0.4829,
|
105 |
+
"eval_samples_per_second": 8.284,
|
106 |
+
"eval_steps_per_second": 2.071,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.01,
|
111 |
+
"learning_rate": 2.9615999999999997e-07,
|
112 |
+
"loss": 2.6101,
|
113 |
+
"step": 32
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.01,
|
117 |
+
"eval_loss": 2.437161922454834,
|
118 |
+
"eval_runtime": 0.4715,
|
119 |
+
"eval_samples_per_second": 8.483,
|
120 |
+
"eval_steps_per_second": 2.121,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.01,
|
125 |
+
"learning_rate": 2.9568e-07,
|
126 |
+
"loss": 2.5827,
|
127 |
+
"step": 36
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 0.01,
|
131 |
+
"eval_loss": 2.432689666748047,
|
132 |
+
"eval_runtime": 0.4938,
|
133 |
+
"eval_samples_per_second": 8.1,
|
134 |
+
"eval_steps_per_second": 2.025,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.02,
|
139 |
+
"learning_rate": 2.952e-07,
|
140 |
+
"loss": 2.5729,
|
141 |
+
"step": 40
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.02,
|
145 |
+
"eval_loss": 2.4281153678894043,
|
146 |
+
"eval_runtime": 0.5021,
|
147 |
+
"eval_samples_per_second": 7.966,
|
148 |
+
"eval_steps_per_second": 1.991,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.02,
|
153 |
+
"learning_rate": 2.9472e-07,
|
154 |
+
"loss": 2.5856,
|
155 |
+
"step": 44
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.02,
|
159 |
+
"eval_loss": 2.423053741455078,
|
160 |
+
"eval_runtime": 0.593,
|
161 |
+
"eval_samples_per_second": 6.746,
|
162 |
+
"eval_steps_per_second": 1.686,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.02,
|
167 |
+
"learning_rate": 2.9423999999999997e-07,
|
168 |
+
"loss": 2.589,
|
169 |
+
"step": 48
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.02,
|
173 |
+
"eval_loss": 2.418571949005127,
|
174 |
+
"eval_runtime": 0.6933,
|
175 |
+
"eval_samples_per_second": 5.77,
|
176 |
+
"eval_steps_per_second": 1.442,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.02,
|
181 |
+
"learning_rate": 2.9375999999999995e-07,
|
182 |
+
"loss": 2.6483,
|
183 |
+
"step": 52
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.02,
|
187 |
+
"eval_loss": 2.414531946182251,
|
188 |
+
"eval_runtime": 0.7167,
|
189 |
+
"eval_samples_per_second": 5.581,
|
190 |
+
"eval_steps_per_second": 1.395,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.02,
|
195 |
+
"learning_rate": 2.9328e-07,
|
196 |
+
"loss": 2.517,
|
197 |
+
"step": 56
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.02,
|
201 |
+
"eval_loss": 2.409538745880127,
|
202 |
+
"eval_runtime": 0.4826,
|
203 |
+
"eval_samples_per_second": 8.289,
|
204 |
+
"eval_steps_per_second": 2.072,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.02,
|
209 |
+
"learning_rate": 2.928e-07,
|
210 |
+
"loss": 2.5987,
|
211 |
+
"step": 60
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.02,
|
215 |
+
"eval_loss": 2.4050426483154297,
|
216 |
+
"eval_runtime": 0.4757,
|
217 |
+
"eval_samples_per_second": 8.409,
|
218 |
+
"eval_steps_per_second": 2.102,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.03,
|
223 |
+
"learning_rate": 2.9232e-07,
|
224 |
+
"loss": 2.5489,
|
225 |
+
"step": 64
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.03,
|
229 |
+
"eval_loss": 2.400360107421875,
|
230 |
+
"eval_runtime": 0.4945,
|
231 |
+
"eval_samples_per_second": 8.089,
|
232 |
+
"eval_steps_per_second": 2.022,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.03,
|
237 |
+
"learning_rate": 2.9184e-07,
|
238 |
+
"loss": 2.5063,
|
239 |
+
"step": 68
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.03,
|
243 |
+
"eval_loss": 2.396500587463379,
|
244 |
+
"eval_runtime": 0.5,
|
245 |
+
"eval_samples_per_second": 8.001,
|
246 |
+
"eval_steps_per_second": 2.0,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.03,
|
251 |
+
"learning_rate": 2.9136e-07,
|
252 |
+
"loss": 2.5867,
|
253 |
+
"step": 72
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.03,
|
257 |
+
"eval_loss": 2.3916146755218506,
|
258 |
+
"eval_runtime": 0.4602,
|
259 |
+
"eval_samples_per_second": 8.693,
|
260 |
+
"eval_steps_per_second": 2.173,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.03,
|
265 |
+
"learning_rate": 2.9087999999999997e-07,
|
266 |
+
"loss": 2.544,
|
267 |
+
"step": 76
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.03,
|
271 |
+
"eval_loss": 2.3873047828674316,
|
272 |
+
"eval_runtime": 0.4731,
|
273 |
+
"eval_samples_per_second": 8.456,
|
274 |
+
"eval_steps_per_second": 2.114,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.03,
|
279 |
+
"learning_rate": 2.9039999999999995e-07,
|
280 |
+
"loss": 2.5596,
|
281 |
+
"step": 80
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.03,
|
285 |
+
"eval_loss": 2.382803440093994,
|
286 |
+
"eval_runtime": 0.6092,
|
287 |
+
"eval_samples_per_second": 6.566,
|
288 |
+
"eval_steps_per_second": 1.642,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.03,
|
293 |
+
"learning_rate": 2.8992e-07,
|
294 |
+
"loss": 2.5744,
|
295 |
+
"step": 84
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.03,
|
299 |
+
"eval_loss": 2.3786380290985107,
|
300 |
+
"eval_runtime": 0.7212,
|
301 |
+
"eval_samples_per_second": 5.546,
|
302 |
+
"eval_steps_per_second": 1.387,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.04,
|
307 |
+
"learning_rate": 2.8944e-07,
|
308 |
+
"loss": 2.5588,
|
309 |
+
"step": 88
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.04,
|
313 |
+
"eval_loss": 2.374176502227783,
|
314 |
+
"eval_runtime": 0.6826,
|
315 |
+
"eval_samples_per_second": 5.86,
|
316 |
+
"eval_steps_per_second": 1.465,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.04,
|
321 |
+
"learning_rate": 2.8895999999999996e-07,
|
322 |
+
"loss": 2.5579,
|
323 |
+
"step": 92
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.04,
|
327 |
+
"eval_loss": 2.3702104091644287,
|
328 |
+
"eval_runtime": 0.4896,
|
329 |
+
"eval_samples_per_second": 8.169,
|
330 |
+
"eval_steps_per_second": 2.042,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.04,
|
335 |
+
"learning_rate": 2.8848e-07,
|
336 |
+
"loss": 2.5245,
|
337 |
+
"step": 96
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.04,
|
341 |
+
"eval_loss": 2.3660218715667725,
|
342 |
+
"eval_runtime": 0.4764,
|
343 |
+
"eval_samples_per_second": 8.397,
|
344 |
+
"eval_steps_per_second": 2.099,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.04,
|
349 |
+
"learning_rate": 2.88e-07,
|
350 |
+
"loss": 2.5132,
|
351 |
+
"step": 100
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.04,
|
355 |
+
"eval_loss": 2.36110520362854,
|
356 |
+
"eval_runtime": 0.4799,
|
357 |
+
"eval_samples_per_second": 8.335,
|
358 |
+
"eval_steps_per_second": 2.084,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.04,
|
363 |
+
"learning_rate": 2.8751999999999997e-07,
|
364 |
+
"loss": 2.5037,
|
365 |
+
"step": 104
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.04,
|
369 |
+
"eval_loss": 2.3570125102996826,
|
370 |
+
"eval_runtime": 0.4722,
|
371 |
+
"eval_samples_per_second": 8.47,
|
372 |
+
"eval_steps_per_second": 2.118,
|
373 |
+
"step": 104
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.04,
|
377 |
+
"learning_rate": 2.8704e-07,
|
378 |
+
"loss": 2.4727,
|
379 |
+
"step": 108
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.04,
|
383 |
+
"eval_loss": 2.3530666828155518,
|
384 |
+
"eval_runtime": 0.467,
|
385 |
+
"eval_samples_per_second": 8.565,
|
386 |
+
"eval_steps_per_second": 2.141,
|
387 |
+
"step": 108
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.04,
|
391 |
+
"learning_rate": 2.8656e-07,
|
392 |
+
"loss": 2.4709,
|
393 |
+
"step": 112
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.04,
|
397 |
+
"eval_loss": 2.348759412765503,
|
398 |
+
"eval_runtime": 0.501,
|
399 |
+
"eval_samples_per_second": 7.984,
|
400 |
+
"eval_steps_per_second": 1.996,
|
401 |
+
"step": 112
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.05,
|
405 |
+
"learning_rate": 2.8608e-07,
|
406 |
+
"loss": 2.4711,
|
407 |
+
"step": 116
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.05,
|
411 |
+
"eval_loss": 2.344454050064087,
|
412 |
+
"eval_runtime": 0.6607,
|
413 |
+
"eval_samples_per_second": 6.054,
|
414 |
+
"eval_steps_per_second": 1.513,
|
415 |
+
"step": 116
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.05,
|
419 |
+
"learning_rate": 2.8559999999999996e-07,
|
420 |
+
"loss": 2.5445,
|
421 |
+
"step": 120
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.05,
|
425 |
+
"eval_loss": 2.3402156829833984,
|
426 |
+
"eval_runtime": 0.704,
|
427 |
+
"eval_samples_per_second": 5.682,
|
428 |
+
"eval_steps_per_second": 1.42,
|
429 |
+
"step": 120
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.05,
|
433 |
+
"learning_rate": 2.8512e-07,
|
434 |
+
"loss": 2.4994,
|
435 |
+
"step": 124
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.05,
|
439 |
+
"eval_loss": 2.3362019062042236,
|
440 |
+
"eval_runtime": 0.6849,
|
441 |
+
"eval_samples_per_second": 5.84,
|
442 |
+
"eval_steps_per_second": 1.46,
|
443 |
+
"step": 124
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.05,
|
447 |
+
"learning_rate": 2.8464e-07,
|
448 |
+
"loss": 2.5036,
|
449 |
+
"step": 128
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.05,
|
453 |
+
"eval_loss": 2.3319339752197266,
|
454 |
+
"eval_runtime": 0.4864,
|
455 |
+
"eval_samples_per_second": 8.223,
|
456 |
+
"eval_steps_per_second": 2.056,
|
457 |
+
"step": 128
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.05,
|
461 |
+
"learning_rate": 2.8416e-07,
|
462 |
+
"loss": 2.5525,
|
463 |
+
"step": 132
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 0.05,
|
467 |
+
"eval_loss": 2.3276522159576416,
|
468 |
+
"eval_runtime": 0.4783,
|
469 |
+
"eval_samples_per_second": 8.364,
|
470 |
+
"eval_steps_per_second": 2.091,
|
471 |
+
"step": 132
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.05,
|
475 |
+
"learning_rate": 2.8368e-07,
|
476 |
+
"loss": 2.5245,
|
477 |
+
"step": 136
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.05,
|
481 |
+
"eval_loss": 2.3241090774536133,
|
482 |
+
"eval_runtime": 0.4805,
|
483 |
+
"eval_samples_per_second": 8.324,
|
484 |
+
"eval_steps_per_second": 2.081,
|
485 |
+
"step": 136
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.06,
|
489 |
+
"learning_rate": 2.832e-07,
|
490 |
+
"loss": 2.4946,
|
491 |
+
"step": 140
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.06,
|
495 |
+
"eval_loss": 2.3198165893554688,
|
496 |
+
"eval_runtime": 0.473,
|
497 |
+
"eval_samples_per_second": 8.457,
|
498 |
+
"eval_steps_per_second": 2.114,
|
499 |
+
"step": 140
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.06,
|
503 |
+
"learning_rate": 2.8272e-07,
|
504 |
+
"loss": 2.5142,
|
505 |
+
"step": 144
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.06,
|
509 |
+
"eval_loss": 2.3152613639831543,
|
510 |
+
"eval_runtime": 0.4858,
|
511 |
+
"eval_samples_per_second": 8.234,
|
512 |
+
"eval_steps_per_second": 2.058,
|
513 |
+
"step": 144
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.06,
|
517 |
+
"learning_rate": 2.8223999999999997e-07,
|
518 |
+
"loss": 2.4639,
|
519 |
+
"step": 148
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.06,
|
523 |
+
"eval_loss": 2.3112645149230957,
|
524 |
+
"eval_runtime": 0.488,
|
525 |
+
"eval_samples_per_second": 8.196,
|
526 |
+
"eval_steps_per_second": 2.049,
|
527 |
+
"step": 148
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.06,
|
531 |
+
"learning_rate": 2.8176e-07,
|
532 |
+
"loss": 2.4796,
|
533 |
+
"step": 152
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.06,
|
537 |
+
"eval_loss": 2.307020902633667,
|
538 |
+
"eval_runtime": 0.6163,
|
539 |
+
"eval_samples_per_second": 6.49,
|
540 |
+
"eval_steps_per_second": 1.623,
|
541 |
+
"step": 152
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.06,
|
545 |
+
"learning_rate": 2.8128e-07,
|
546 |
+
"loss": 2.4529,
|
547 |
+
"step": 156
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.06,
|
551 |
+
"eval_loss": 2.303062915802002,
|
552 |
+
"eval_runtime": 0.6764,
|
553 |
+
"eval_samples_per_second": 5.913,
|
554 |
+
"eval_steps_per_second": 1.478,
|
555 |
+
"step": 156
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.06,
|
559 |
+
"learning_rate": 2.808e-07,
|
560 |
+
"loss": 2.4823,
|
561 |
+
"step": 160
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.06,
|
565 |
+
"eval_loss": 2.2993311882019043,
|
566 |
+
"eval_runtime": 0.6854,
|
567 |
+
"eval_samples_per_second": 5.836,
|
568 |
+
"eval_steps_per_second": 1.459,
|
569 |
+
"step": 160
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.07,
|
573 |
+
"learning_rate": 2.8032e-07,
|
574 |
+
"loss": 2.4439,
|
575 |
+
"step": 164
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.07,
|
579 |
+
"eval_loss": 2.2947850227355957,
|
580 |
+
"eval_runtime": 0.4745,
|
581 |
+
"eval_samples_per_second": 8.429,
|
582 |
+
"eval_steps_per_second": 2.107,
|
583 |
+
"step": 164
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.07,
|
587 |
+
"learning_rate": 2.7984e-07,
|
588 |
+
"loss": 2.4652,
|
589 |
+
"step": 168
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 0.07,
|
593 |
+
"eval_loss": 2.2908992767333984,
|
594 |
+
"eval_runtime": 0.4759,
|
595 |
+
"eval_samples_per_second": 8.406,
|
596 |
+
"eval_steps_per_second": 2.101,
|
597 |
+
"step": 168
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.07,
|
601 |
+
"learning_rate": 2.7936e-07,
|
602 |
+
"loss": 2.4574,
|
603 |
+
"step": 172
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.07,
|
607 |
+
"eval_loss": 2.2867026329040527,
|
608 |
+
"eval_runtime": 0.4973,
|
609 |
+
"eval_samples_per_second": 8.043,
|
610 |
+
"eval_steps_per_second": 2.011,
|
611 |
+
"step": 172
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.07,
|
615 |
+
"learning_rate": 2.7887999999999997e-07,
|
616 |
+
"loss": 2.4557,
|
617 |
+
"step": 176
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.07,
|
621 |
+
"eval_loss": 2.283027172088623,
|
622 |
+
"eval_runtime": 0.4719,
|
623 |
+
"eval_samples_per_second": 8.477,
|
624 |
+
"eval_steps_per_second": 2.119,
|
625 |
+
"step": 176
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.07,
|
629 |
+
"learning_rate": 2.784e-07,
|
630 |
+
"loss": 2.4462,
|
631 |
+
"step": 180
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.07,
|
635 |
+
"eval_loss": 2.2787420749664307,
|
636 |
+
"eval_runtime": 0.472,
|
637 |
+
"eval_samples_per_second": 8.474,
|
638 |
+
"eval_steps_per_second": 2.119,
|
639 |
+
"step": 180
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.07,
|
643 |
+
"learning_rate": 2.7792e-07,
|
644 |
+
"loss": 2.3962,
|
645 |
+
"step": 184
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.07,
|
649 |
+
"eval_loss": 2.2745461463928223,
|
650 |
+
"eval_runtime": 0.6328,
|
651 |
+
"eval_samples_per_second": 6.322,
|
652 |
+
"eval_steps_per_second": 1.58,
|
653 |
+
"step": 184
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.08,
|
657 |
+
"learning_rate": 2.7744e-07,
|
658 |
+
"loss": 2.3666,
|
659 |
+
"step": 188
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.08,
|
663 |
+
"eval_loss": 2.2705912590026855,
|
664 |
+
"eval_runtime": 0.6375,
|
665 |
+
"eval_samples_per_second": 6.274,
|
666 |
+
"eval_steps_per_second": 1.569,
|
667 |
+
"step": 188
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.08,
|
671 |
+
"learning_rate": 2.7696e-07,
|
672 |
+
"loss": 2.5024,
|
673 |
+
"step": 192
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.08,
|
677 |
+
"eval_loss": 2.266995906829834,
|
678 |
+
"eval_runtime": 0.6984,
|
679 |
+
"eval_samples_per_second": 5.727,
|
680 |
+
"eval_steps_per_second": 1.432,
|
681 |
+
"step": 192
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.08,
|
685 |
+
"learning_rate": 2.7648e-07,
|
686 |
+
"loss": 2.4419,
|
687 |
+
"step": 196
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.08,
|
691 |
+
"eval_loss": 2.2626519203186035,
|
692 |
+
"eval_runtime": 0.7334,
|
693 |
+
"eval_samples_per_second": 5.454,
|
694 |
+
"eval_steps_per_second": 1.363,
|
695 |
+
"step": 196
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.08,
|
699 |
+
"learning_rate": 2.76e-07,
|
700 |
+
"loss": 2.4246,
|
701 |
+
"step": 200
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 0.08,
|
705 |
+
"eval_loss": 2.2583603858947754,
|
706 |
+
"eval_runtime": 0.48,
|
707 |
+
"eval_samples_per_second": 8.333,
|
708 |
+
"eval_steps_per_second": 2.083,
|
709 |
+
"step": 200
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.08,
|
713 |
+
"learning_rate": 2.7551999999999997e-07,
|
714 |
+
"loss": 2.3853,
|
715 |
+
"step": 204
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 0.08,
|
719 |
+
"eval_loss": 2.2551512718200684,
|
720 |
+
"eval_runtime": 0.4939,
|
721 |
+
"eval_samples_per_second": 8.098,
|
722 |
+
"eval_steps_per_second": 2.025,
|
723 |
+
"step": 204
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.08,
|
727 |
+
"learning_rate": 2.7503999999999995e-07,
|
728 |
+
"loss": 2.4032,
|
729 |
+
"step": 208
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.08,
|
733 |
+
"eval_loss": 2.251105785369873,
|
734 |
+
"eval_runtime": 0.46,
|
735 |
+
"eval_samples_per_second": 8.695,
|
736 |
+
"eval_steps_per_second": 2.174,
|
737 |
+
"step": 208
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.08,
|
741 |
+
"learning_rate": 2.7456e-07,
|
742 |
+
"loss": 2.4444,
|
743 |
+
"step": 212
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.08,
|
747 |
+
"eval_loss": 2.247025489807129,
|
748 |
+
"eval_runtime": 0.4948,
|
749 |
+
"eval_samples_per_second": 8.084,
|
750 |
+
"eval_steps_per_second": 2.021,
|
751 |
+
"step": 212
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.09,
|
755 |
+
"learning_rate": 2.7408e-07,
|
756 |
+
"loss": 2.2932,
|
757 |
+
"step": 216
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.09,
|
761 |
+
"eval_loss": 2.242764472961426,
|
762 |
+
"eval_runtime": 0.4897,
|
763 |
+
"eval_samples_per_second": 8.168,
|
764 |
+
"eval_steps_per_second": 2.042,
|
765 |
+
"step": 216
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.09,
|
769 |
+
"learning_rate": 2.736e-07,
|
770 |
+
"loss": 2.3929,
|
771 |
+
"step": 220
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.09,
|
775 |
+
"eval_loss": 2.2391483783721924,
|
776 |
+
"eval_runtime": 0.6128,
|
777 |
+
"eval_samples_per_second": 6.528,
|
778 |
+
"eval_steps_per_second": 1.632,
|
779 |
+
"step": 220
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.09,
|
783 |
+
"learning_rate": 2.7312e-07,
|
784 |
+
"loss": 2.4112,
|
785 |
+
"step": 224
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.09,
|
789 |
+
"eval_loss": 2.234977960586548,
|
790 |
+
"eval_runtime": 0.648,
|
791 |
+
"eval_samples_per_second": 6.172,
|
792 |
+
"eval_steps_per_second": 1.543,
|
793 |
+
"step": 224
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.09,
|
797 |
+
"learning_rate": 2.7264e-07,
|
798 |
+
"loss": 2.4191,
|
799 |
+
"step": 228
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 0.09,
|
803 |
+
"eval_loss": 2.231099843978882,
|
804 |
+
"eval_runtime": 0.6862,
|
805 |
+
"eval_samples_per_second": 5.829,
|
806 |
+
"eval_steps_per_second": 1.457,
|
807 |
+
"step": 228
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.09,
|
811 |
+
"learning_rate": 2.7215999999999997e-07,
|
812 |
+
"loss": 2.4408,
|
813 |
+
"step": 232
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.09,
|
817 |
+
"eval_loss": 2.2272462844848633,
|
818 |
+
"eval_runtime": 0.7076,
|
819 |
+
"eval_samples_per_second": 5.653,
|
820 |
+
"eval_steps_per_second": 1.413,
|
821 |
+
"step": 232
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.09,
|
825 |
+
"learning_rate": 2.7167999999999996e-07,
|
826 |
+
"loss": 2.3884,
|
827 |
+
"step": 236
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.09,
|
831 |
+
"eval_loss": 2.223376750946045,
|
832 |
+
"eval_runtime": 0.5169,
|
833 |
+
"eval_samples_per_second": 7.738,
|
834 |
+
"eval_steps_per_second": 1.935,
|
835 |
+
"step": 236
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.1,
|
839 |
+
"learning_rate": 2.712e-07,
|
840 |
+
"loss": 2.3689,
|
841 |
+
"step": 240
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.1,
|
845 |
+
"eval_loss": 2.2195653915405273,
|
846 |
+
"eval_runtime": 0.4793,
|
847 |
+
"eval_samples_per_second": 8.346,
|
848 |
+
"eval_steps_per_second": 2.086,
|
849 |
+
"step": 240
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.1,
|
853 |
+
"learning_rate": 2.7072e-07,
|
854 |
+
"loss": 2.3689,
|
855 |
+
"step": 244
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.1,
|
859 |
+
"eval_loss": 2.2153775691986084,
|
860 |
+
"eval_runtime": 0.4771,
|
861 |
+
"eval_samples_per_second": 8.384,
|
862 |
+
"eval_steps_per_second": 2.096,
|
863 |
+
"step": 244
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.1,
|
867 |
+
"learning_rate": 2.7024e-07,
|
868 |
+
"loss": 2.3249,
|
869 |
+
"step": 248
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.1,
|
873 |
+
"eval_loss": 2.211355209350586,
|
874 |
+
"eval_runtime": 0.4778,
|
875 |
+
"eval_samples_per_second": 8.372,
|
876 |
+
"eval_steps_per_second": 2.093,
|
877 |
+
"step": 248
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.1,
|
881 |
+
"learning_rate": 2.6976e-07,
|
882 |
+
"loss": 2.4286,
|
883 |
+
"step": 252
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.1,
|
887 |
+
"eval_loss": 2.207773208618164,
|
888 |
+
"eval_runtime": 0.4873,
|
889 |
+
"eval_samples_per_second": 8.209,
|
890 |
+
"eval_steps_per_second": 2.052,
|
891 |
+
"step": 252
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.1,
|
895 |
+
"learning_rate": 2.6928e-07,
|
896 |
+
"loss": 2.3497,
|
897 |
+
"step": 256
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.1,
|
901 |
+
"eval_loss": 2.203867197036743,
|
902 |
+
"eval_runtime": 0.6281,
|
903 |
+
"eval_samples_per_second": 6.368,
|
904 |
+
"eval_steps_per_second": 1.592,
|
905 |
+
"step": 256
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.1,
|
909 |
+
"learning_rate": 2.6879999999999997e-07,
|
910 |
+
"loss": 2.284,
|
911 |
+
"step": 260
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.1,
|
915 |
+
"eval_loss": 2.199937582015991,
|
916 |
+
"eval_runtime": 0.6885,
|
917 |
+
"eval_samples_per_second": 5.81,
|
918 |
+
"eval_steps_per_second": 1.452,
|
919 |
+
"step": 260
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.11,
|
923 |
+
"learning_rate": 2.6831999999999996e-07,
|
924 |
+
"loss": 2.3333,
|
925 |
+
"step": 264
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.11,
|
929 |
+
"eval_loss": 2.1958465576171875,
|
930 |
+
"eval_runtime": 0.6799,
|
931 |
+
"eval_samples_per_second": 5.883,
|
932 |
+
"eval_steps_per_second": 1.471,
|
933 |
+
"step": 264
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.11,
|
937 |
+
"learning_rate": 2.6784e-07,
|
938 |
+
"loss": 2.3305,
|
939 |
+
"step": 268
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.11,
|
943 |
+
"eval_loss": 2.192072868347168,
|
944 |
+
"eval_runtime": 0.7165,
|
945 |
+
"eval_samples_per_second": 5.583,
|
946 |
+
"eval_steps_per_second": 1.396,
|
947 |
+
"step": 268
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.11,
|
951 |
+
"learning_rate": 2.6736e-07,
|
952 |
+
"loss": 2.3465,
|
953 |
+
"step": 272
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.11,
|
957 |
+
"eval_loss": 2.1882476806640625,
|
958 |
+
"eval_runtime": 0.485,
|
959 |
+
"eval_samples_per_second": 8.247,
|
960 |
+
"eval_steps_per_second": 2.062,
|
961 |
+
"step": 272
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.11,
|
965 |
+
"learning_rate": 2.6687999999999997e-07,
|
966 |
+
"loss": 2.3274,
|
967 |
+
"step": 276
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 0.11,
|
971 |
+
"eval_loss": 2.1841320991516113,
|
972 |
+
"eval_runtime": 0.4767,
|
973 |
+
"eval_samples_per_second": 8.391,
|
974 |
+
"eval_steps_per_second": 2.098,
|
975 |
+
"step": 276
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.11,
|
979 |
+
"learning_rate": 2.664e-07,
|
980 |
+
"loss": 2.3641,
|
981 |
+
"step": 280
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.11,
|
985 |
+
"eval_loss": 2.1803271770477295,
|
986 |
+
"eval_runtime": 0.5146,
|
987 |
+
"eval_samples_per_second": 7.774,
|
988 |
+
"eval_steps_per_second": 1.943,
|
989 |
+
"step": 280
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.11,
|
993 |
+
"learning_rate": 2.6592e-07,
|
994 |
+
"loss": 2.3089,
|
995 |
+
"step": 284
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.11,
|
999 |
+
"eval_loss": 2.176274538040161,
|
1000 |
+
"eval_runtime": 0.488,
|
1001 |
+
"eval_samples_per_second": 8.196,
|
1002 |
+
"eval_steps_per_second": 2.049,
|
1003 |
+
"step": 284
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.12,
|
1007 |
+
"learning_rate": 2.6543999999999997e-07,
|
1008 |
+
"loss": 2.2645,
|
1009 |
+
"step": 288
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.12,
|
1013 |
+
"eval_loss": 2.1720588207244873,
|
1014 |
+
"eval_runtime": 0.4973,
|
1015 |
+
"eval_samples_per_second": 8.043,
|
1016 |
+
"eval_steps_per_second": 2.011,
|
1017 |
+
"step": 288
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.12,
|
1021 |
+
"learning_rate": 2.6495999999999996e-07,
|
1022 |
+
"loss": 2.3439,
|
1023 |
+
"step": 292
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.12,
|
1027 |
+
"eval_loss": 2.1687240600585938,
|
1028 |
+
"eval_runtime": 0.6283,
|
1029 |
+
"eval_samples_per_second": 6.366,
|
1030 |
+
"eval_steps_per_second": 1.592,
|
1031 |
+
"step": 292
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.12,
|
1035 |
+
"learning_rate": 2.6448e-07,
|
1036 |
+
"loss": 2.3285,
|
1037 |
+
"step": 296
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.12,
|
1041 |
+
"eval_loss": 2.1649253368377686,
|
1042 |
+
"eval_runtime": 0.6996,
|
1043 |
+
"eval_samples_per_second": 5.718,
|
1044 |
+
"eval_steps_per_second": 1.429,
|
1045 |
+
"step": 296
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.12,
|
1049 |
+
"learning_rate": 2.64e-07,
|
1050 |
+
"loss": 2.3126,
|
1051 |
+
"step": 300
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.12,
|
1055 |
+
"eval_loss": 2.160398483276367,
|
1056 |
+
"eval_runtime": 0.6904,
|
1057 |
+
"eval_samples_per_second": 5.794,
|
1058 |
+
"eval_steps_per_second": 1.448,
|
1059 |
+
"step": 300
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.12,
|
1063 |
+
"learning_rate": 2.6351999999999997e-07,
|
1064 |
+
"loss": 2.3356,
|
1065 |
+
"step": 304
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.12,
|
1069 |
+
"eval_loss": 2.1570284366607666,
|
1070 |
+
"eval_runtime": 0.4953,
|
1071 |
+
"eval_samples_per_second": 8.076,
|
1072 |
+
"eval_steps_per_second": 2.019,
|
1073 |
+
"step": 304
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.12,
|
1077 |
+
"learning_rate": 2.6304e-07,
|
1078 |
+
"loss": 2.3396,
|
1079 |
+
"step": 308
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.12,
|
1083 |
+
"eval_loss": 2.1527013778686523,
|
1084 |
+
"eval_runtime": 0.4977,
|
1085 |
+
"eval_samples_per_second": 8.037,
|
1086 |
+
"eval_steps_per_second": 2.009,
|
1087 |
+
"step": 308
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.12,
|
1091 |
+
"learning_rate": 2.6256e-07,
|
1092 |
+
"loss": 2.2972,
|
1093 |
+
"step": 312
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.12,
|
1097 |
+
"eval_loss": 2.148724317550659,
|
1098 |
+
"eval_runtime": 0.4939,
|
1099 |
+
"eval_samples_per_second": 8.099,
|
1100 |
+
"eval_steps_per_second": 2.025,
|
1101 |
+
"step": 312
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.13,
|
1105 |
+
"learning_rate": 2.6208e-07,
|
1106 |
+
"loss": 2.3321,
|
1107 |
+
"step": 316
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.13,
|
1111 |
+
"eval_loss": 2.1449663639068604,
|
1112 |
+
"eval_runtime": 0.4784,
|
1113 |
+
"eval_samples_per_second": 8.362,
|
1114 |
+
"eval_steps_per_second": 2.09,
|
1115 |
+
"step": 316
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.13,
|
1119 |
+
"learning_rate": 2.616e-07,
|
1120 |
+
"loss": 2.3348,
|
1121 |
+
"step": 320
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.13,
|
1125 |
+
"eval_loss": 2.1414906978607178,
|
1126 |
+
"eval_runtime": 0.4949,
|
1127 |
+
"eval_samples_per_second": 8.082,
|
1128 |
+
"eval_steps_per_second": 2.021,
|
1129 |
+
"step": 320
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.13,
|
1133 |
+
"learning_rate": 2.6112e-07,
|
1134 |
+
"loss": 2.2728,
|
1135 |
+
"step": 324
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 0.13,
|
1139 |
+
"eval_loss": 2.1374001502990723,
|
1140 |
+
"eval_runtime": 0.6321,
|
1141 |
+
"eval_samples_per_second": 6.328,
|
1142 |
+
"eval_steps_per_second": 1.582,
|
1143 |
+
"step": 324
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.13,
|
1147 |
+
"learning_rate": 2.6064e-07,
|
1148 |
+
"loss": 2.287,
|
1149 |
+
"step": 328
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.13,
|
1153 |
+
"eval_loss": 2.1333529949188232,
|
1154 |
+
"eval_runtime": 0.6547,
|
1155 |
+
"eval_samples_per_second": 6.109,
|
1156 |
+
"eval_steps_per_second": 1.527,
|
1157 |
+
"step": 328
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.13,
|
1161 |
+
"learning_rate": 2.6015999999999997e-07,
|
1162 |
+
"loss": 2.2474,
|
1163 |
+
"step": 332
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 0.13,
|
1167 |
+
"eval_loss": 2.1297547817230225,
|
1168 |
+
"eval_runtime": 0.7093,
|
1169 |
+
"eval_samples_per_second": 5.639,
|
1170 |
+
"eval_steps_per_second": 1.41,
|
1171 |
+
"step": 332
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.13,
|
1175 |
+
"learning_rate": 2.5968e-07,
|
1176 |
+
"loss": 2.3214,
|
1177 |
+
"step": 336
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 0.13,
|
1181 |
+
"eval_loss": 2.126392364501953,
|
1182 |
+
"eval_runtime": 0.6909,
|
1183 |
+
"eval_samples_per_second": 5.789,
|
1184 |
+
"eval_steps_per_second": 1.447,
|
1185 |
+
"step": 336
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.14,
|
1189 |
+
"learning_rate": 2.592e-07,
|
1190 |
+
"loss": 2.2725,
|
1191 |
+
"step": 340
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.14,
|
1195 |
+
"eval_loss": 2.122309923171997,
|
1196 |
+
"eval_runtime": 0.4823,
|
1197 |
+
"eval_samples_per_second": 8.293,
|
1198 |
+
"eval_steps_per_second": 2.073,
|
1199 |
+
"step": 340
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.14,
|
1203 |
+
"learning_rate": 2.5872000000000003e-07,
|
1204 |
+
"loss": 2.3114,
|
1205 |
+
"step": 344
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 0.14,
|
1209 |
+
"eval_loss": 2.118303060531616,
|
1210 |
+
"eval_runtime": 0.4954,
|
1211 |
+
"eval_samples_per_second": 8.075,
|
1212 |
+
"eval_steps_per_second": 2.019,
|
1213 |
+
"step": 344
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.14,
|
1217 |
+
"learning_rate": 2.5824e-07,
|
1218 |
+
"loss": 2.2333,
|
1219 |
+
"step": 348
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 0.14,
|
1223 |
+
"eval_loss": 2.114621162414551,
|
1224 |
+
"eval_runtime": 0.4856,
|
1225 |
+
"eval_samples_per_second": 8.238,
|
1226 |
+
"eval_steps_per_second": 2.059,
|
1227 |
+
"step": 348
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.14,
|
1231 |
+
"learning_rate": 2.5776e-07,
|
1232 |
+
"loss": 2.2812,
|
1233 |
+
"step": 352
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.14,
|
1237 |
+
"eval_loss": 2.11067795753479,
|
1238 |
+
"eval_runtime": 0.4778,
|
1239 |
+
"eval_samples_per_second": 8.372,
|
1240 |
+
"eval_steps_per_second": 2.093,
|
1241 |
+
"step": 352
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.14,
|
1245 |
+
"learning_rate": 2.5728e-07,
|
1246 |
+
"loss": 2.2454,
|
1247 |
+
"step": 356
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 0.14,
|
1251 |
+
"eval_loss": 2.106940746307373,
|
1252 |
+
"eval_runtime": 0.4945,
|
1253 |
+
"eval_samples_per_second": 8.089,
|
1254 |
+
"eval_steps_per_second": 2.022,
|
1255 |
+
"step": 356
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.14,
|
1259 |
+
"learning_rate": 2.5679999999999997e-07,
|
1260 |
+
"loss": 2.2261,
|
1261 |
+
"step": 360
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 0.14,
|
1265 |
+
"eval_loss": 2.1031668186187744,
|
1266 |
+
"eval_runtime": 0.6521,
|
1267 |
+
"eval_samples_per_second": 6.134,
|
1268 |
+
"eval_steps_per_second": 1.533,
|
1269 |
+
"step": 360
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.15,
|
1273 |
+
"learning_rate": 2.5632e-07,
|
1274 |
+
"loss": 2.2841,
|
1275 |
+
"step": 364
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.15,
|
1279 |
+
"eval_loss": 2.0989203453063965,
|
1280 |
+
"eval_runtime": 0.6249,
|
1281 |
+
"eval_samples_per_second": 6.401,
|
1282 |
+
"eval_steps_per_second": 1.6,
|
1283 |
+
"step": 364
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.15,
|
1287 |
+
"learning_rate": 2.5584e-07,
|
1288 |
+
"loss": 2.2481,
|
1289 |
+
"step": 368
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.15,
|
1293 |
+
"eval_loss": 2.095189332962036,
|
1294 |
+
"eval_runtime": 0.6855,
|
1295 |
+
"eval_samples_per_second": 5.835,
|
1296 |
+
"eval_steps_per_second": 1.459,
|
1297 |
+
"step": 368
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.15,
|
1301 |
+
"learning_rate": 2.5536e-07,
|
1302 |
+
"loss": 2.278,
|
1303 |
+
"step": 372
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 0.15,
|
1307 |
+
"eval_loss": 2.0912463665008545,
|
1308 |
+
"eval_runtime": 0.7393,
|
1309 |
+
"eval_samples_per_second": 5.411,
|
1310 |
+
"eval_steps_per_second": 1.353,
|
1311 |
+
"step": 372
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.15,
|
1315 |
+
"learning_rate": 2.5488e-07,
|
1316 |
+
"loss": 2.2765,
|
1317 |
+
"step": 376
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.15,
|
1321 |
+
"eval_loss": 2.087336301803589,
|
1322 |
+
"eval_runtime": 0.4793,
|
1323 |
+
"eval_samples_per_second": 8.345,
|
1324 |
+
"eval_steps_per_second": 2.086,
|
1325 |
+
"step": 376
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.15,
|
1329 |
+
"learning_rate": 2.544e-07,
|
1330 |
+
"loss": 2.2232,
|
1331 |
+
"step": 380
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.15,
|
1335 |
+
"eval_loss": 2.0833120346069336,
|
1336 |
+
"eval_runtime": 0.487,
|
1337 |
+
"eval_samples_per_second": 8.214,
|
1338 |
+
"eval_steps_per_second": 2.053,
|
1339 |
+
"step": 380
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.15,
|
1343 |
+
"learning_rate": 2.5392e-07,
|
1344 |
+
"loss": 2.306,
|
1345 |
+
"step": 384
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.15,
|
1349 |
+
"eval_loss": 2.079479932785034,
|
1350 |
+
"eval_runtime": 0.4722,
|
1351 |
+
"eval_samples_per_second": 8.471,
|
1352 |
+
"eval_steps_per_second": 2.118,
|
1353 |
+
"step": 384
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.16,
|
1357 |
+
"learning_rate": 2.5343999999999997e-07,
|
1358 |
+
"loss": 2.2126,
|
1359 |
+
"step": 388
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.16,
|
1363 |
+
"eval_loss": 2.0760295391082764,
|
1364 |
+
"eval_runtime": 0.4958,
|
1365 |
+
"eval_samples_per_second": 8.068,
|
1366 |
+
"eval_steps_per_second": 2.017,
|
1367 |
+
"step": 388
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.16,
|
1371 |
+
"learning_rate": 2.5295999999999996e-07,
|
1372 |
+
"loss": 2.2557,
|
1373 |
+
"step": 392
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.16,
|
1377 |
+
"eval_loss": 2.072136402130127,
|
1378 |
+
"eval_runtime": 0.469,
|
1379 |
+
"eval_samples_per_second": 8.529,
|
1380 |
+
"eval_steps_per_second": 2.132,
|
1381 |
+
"step": 392
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.16,
|
1385 |
+
"learning_rate": 2.5248e-07,
|
1386 |
+
"loss": 2.1988,
|
1387 |
+
"step": 396
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 0.16,
|
1391 |
+
"eval_loss": 2.0683670043945312,
|
1392 |
+
"eval_runtime": 0.6385,
|
1393 |
+
"eval_samples_per_second": 6.264,
|
1394 |
+
"eval_steps_per_second": 1.566,
|
1395 |
+
"step": 396
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.16,
|
1399 |
+
"learning_rate": 2.52e-07,
|
1400 |
+
"loss": 2.1917,
|
1401 |
+
"step": 400
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.16,
|
1405 |
+
"eval_loss": 2.0638906955718994,
|
1406 |
+
"eval_runtime": 0.6834,
|
1407 |
+
"eval_samples_per_second": 5.853,
|
1408 |
+
"eval_steps_per_second": 1.463,
|
1409 |
+
"step": 400
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.16,
|
1413 |
+
"learning_rate": 2.5152e-07,
|
1414 |
+
"loss": 2.2479,
|
1415 |
+
"step": 404
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.16,
|
1419 |
+
"eval_loss": 2.0599253177642822,
|
1420 |
+
"eval_runtime": 0.7261,
|
1421 |
+
"eval_samples_per_second": 5.509,
|
1422 |
+
"eval_steps_per_second": 1.377,
|
1423 |
+
"step": 404
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.16,
|
1427 |
+
"learning_rate": 2.5104e-07,
|
1428 |
+
"loss": 2.1484,
|
1429 |
+
"step": 408
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 0.16,
|
1433 |
+
"eval_loss": 2.055751085281372,
|
1434 |
+
"eval_runtime": 0.7367,
|
1435 |
+
"eval_samples_per_second": 5.429,
|
1436 |
+
"eval_steps_per_second": 1.357,
|
1437 |
+
"step": 408
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.16,
|
1441 |
+
"learning_rate": 2.5056e-07,
|
1442 |
+
"loss": 2.1886,
|
1443 |
+
"step": 412
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.16,
|
1447 |
+
"eval_loss": 2.052119016647339,
|
1448 |
+
"eval_runtime": 0.4808,
|
1449 |
+
"eval_samples_per_second": 8.319,
|
1450 |
+
"eval_steps_per_second": 2.08,
|
1451 |
+
"step": 412
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.17,
|
1455 |
+
"learning_rate": 2.5007999999999997e-07,
|
1456 |
+
"loss": 2.2026,
|
1457 |
+
"step": 416
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.17,
|
1461 |
+
"eval_loss": 2.0482354164123535,
|
1462 |
+
"eval_runtime": 0.4856,
|
1463 |
+
"eval_samples_per_second": 8.238,
|
1464 |
+
"eval_steps_per_second": 2.059,
|
1465 |
+
"step": 416
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.17,
|
1469 |
+
"learning_rate": 2.4959999999999996e-07,
|
1470 |
+
"loss": 2.1572,
|
1471 |
+
"step": 420
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.17,
|
1475 |
+
"eval_loss": 2.0441887378692627,
|
1476 |
+
"eval_runtime": 0.4779,
|
1477 |
+
"eval_samples_per_second": 8.37,
|
1478 |
+
"eval_steps_per_second": 2.093,
|
1479 |
+
"step": 420
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.17,
|
1483 |
+
"learning_rate": 2.4912e-07,
|
1484 |
+
"loss": 2.1931,
|
1485 |
+
"step": 424
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.17,
|
1489 |
+
"eval_loss": 2.0399935245513916,
|
1490 |
+
"eval_runtime": 0.4803,
|
1491 |
+
"eval_samples_per_second": 8.329,
|
1492 |
+
"eval_steps_per_second": 2.082,
|
1493 |
+
"step": 424
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.17,
|
1497 |
+
"learning_rate": 2.4864e-07,
|
1498 |
+
"loss": 2.161,
|
1499 |
+
"step": 428
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 0.17,
|
1503 |
+
"eval_loss": 2.03645920753479,
|
1504 |
+
"eval_runtime": 0.4924,
|
1505 |
+
"eval_samples_per_second": 8.123,
|
1506 |
+
"eval_steps_per_second": 2.031,
|
1507 |
+
"step": 428
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.17,
|
1511 |
+
"learning_rate": 2.4816e-07,
|
1512 |
+
"loss": 2.1115,
|
1513 |
+
"step": 432
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.17,
|
1517 |
+
"eval_loss": 2.032196044921875,
|
1518 |
+
"eval_runtime": 0.6345,
|
1519 |
+
"eval_samples_per_second": 6.304,
|
1520 |
+
"eval_steps_per_second": 1.576,
|
1521 |
+
"step": 432
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.17,
|
1525 |
+
"learning_rate": 2.4768e-07,
|
1526 |
+
"loss": 2.173,
|
1527 |
+
"step": 436
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.17,
|
1531 |
+
"eval_loss": 2.028397560119629,
|
1532 |
+
"eval_runtime": 0.6625,
|
1533 |
+
"eval_samples_per_second": 6.038,
|
1534 |
+
"eval_steps_per_second": 1.509,
|
1535 |
+
"step": 436
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.18,
|
1539 |
+
"learning_rate": 2.472e-07,
|
1540 |
+
"loss": 2.1491,
|
1541 |
+
"step": 440
|
1542 |
+
},
|
1543 |
+
{
|
1544 |
+
"epoch": 0.18,
|
1545 |
+
"eval_loss": 2.0247464179992676,
|
1546 |
+
"eval_runtime": 0.6969,
|
1547 |
+
"eval_samples_per_second": 5.74,
|
1548 |
+
"eval_steps_per_second": 1.435,
|
1549 |
+
"step": 440
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.18,
|
1553 |
+
"learning_rate": 2.4672e-07,
|
1554 |
+
"loss": 2.1716,
|
1555 |
+
"step": 444
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 0.18,
|
1559 |
+
"eval_loss": 2.0203933715820312,
|
1560 |
+
"eval_runtime": 0.7311,
|
1561 |
+
"eval_samples_per_second": 5.471,
|
1562 |
+
"eval_steps_per_second": 1.368,
|
1563 |
+
"step": 444
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.18,
|
1567 |
+
"learning_rate": 2.4623999999999996e-07,
|
1568 |
+
"loss": 2.2031,
|
1569 |
+
"step": 448
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.18,
|
1573 |
+
"eval_loss": 2.016533374786377,
|
1574 |
+
"eval_runtime": 0.4875,
|
1575 |
+
"eval_samples_per_second": 8.206,
|
1576 |
+
"eval_steps_per_second": 2.051,
|
1577 |
+
"step": 448
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.18,
|
1581 |
+
"learning_rate": 2.4576e-07,
|
1582 |
+
"loss": 2.1466,
|
1583 |
+
"step": 452
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 0.18,
|
1587 |
+
"eval_loss": 2.012568473815918,
|
1588 |
+
"eval_runtime": 0.4897,
|
1589 |
+
"eval_samples_per_second": 8.168,
|
1590 |
+
"eval_steps_per_second": 2.042,
|
1591 |
+
"step": 452
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.18,
|
1595 |
+
"learning_rate": 2.4528e-07,
|
1596 |
+
"loss": 2.1384,
|
1597 |
+
"step": 456
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 0.18,
|
1601 |
+
"eval_loss": 2.0088417530059814,
|
1602 |
+
"eval_runtime": 0.4969,
|
1603 |
+
"eval_samples_per_second": 8.05,
|
1604 |
+
"eval_steps_per_second": 2.013,
|
1605 |
+
"step": 456
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.18,
|
1609 |
+
"learning_rate": 2.4479999999999997e-07,
|
1610 |
+
"loss": 2.1824,
|
1611 |
+
"step": 460
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.18,
|
1615 |
+
"eval_loss": 2.0047850608825684,
|
1616 |
+
"eval_runtime": 0.4897,
|
1617 |
+
"eval_samples_per_second": 8.168,
|
1618 |
+
"eval_steps_per_second": 2.042,
|
1619 |
+
"step": 460
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.19,
|
1623 |
+
"learning_rate": 2.4432e-07,
|
1624 |
+
"loss": 2.1401,
|
1625 |
+
"step": 464
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.19,
|
1629 |
+
"eval_loss": 2.0006463527679443,
|
1630 |
+
"eval_runtime": 0.4882,
|
1631 |
+
"eval_samples_per_second": 8.193,
|
1632 |
+
"eval_steps_per_second": 2.048,
|
1633 |
+
"step": 464
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.19,
|
1637 |
+
"learning_rate": 2.4384e-07,
|
1638 |
+
"loss": 2.2086,
|
1639 |
+
"step": 468
|
1640 |
+
},
|
1641 |
+
{
|
1642 |
+
"epoch": 0.19,
|
1643 |
+
"eval_loss": 1.9969314336776733,
|
1644 |
+
"eval_runtime": 0.6612,
|
1645 |
+
"eval_samples_per_second": 6.049,
|
1646 |
+
"eval_steps_per_second": 1.512,
|
1647 |
+
"step": 468
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.19,
|
1651 |
+
"learning_rate": 2.4336e-07,
|
1652 |
+
"loss": 2.1687,
|
1653 |
+
"step": 472
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.19,
|
1657 |
+
"eval_loss": 1.9925954341888428,
|
1658 |
+
"eval_runtime": 0.6804,
|
1659 |
+
"eval_samples_per_second": 5.879,
|
1660 |
+
"eval_steps_per_second": 1.47,
|
1661 |
+
"step": 472
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.19,
|
1665 |
+
"learning_rate": 2.4287999999999996e-07,
|
1666 |
+
"loss": 2.145,
|
1667 |
+
"step": 476
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 0.19,
|
1671 |
+
"eval_loss": 1.9888066053390503,
|
1672 |
+
"eval_runtime": 0.6955,
|
1673 |
+
"eval_samples_per_second": 5.752,
|
1674 |
+
"eval_steps_per_second": 1.438,
|
1675 |
+
"step": 476
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.19,
|
1679 |
+
"learning_rate": 2.424e-07,
|
1680 |
+
"loss": 2.2007,
|
1681 |
+
"step": 480
|
1682 |
+
},
|
1683 |
+
{
|
1684 |
+
"epoch": 0.19,
|
1685 |
+
"eval_loss": 1.9850127696990967,
|
1686 |
+
"eval_runtime": 0.7558,
|
1687 |
+
"eval_samples_per_second": 5.292,
|
1688 |
+
"eval_steps_per_second": 1.323,
|
1689 |
+
"step": 480
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.19,
|
1693 |
+
"learning_rate": 2.4192e-07,
|
1694 |
+
"loss": 2.1367,
|
1695 |
+
"step": 484
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 0.19,
|
1699 |
+
"eval_loss": 1.9808437824249268,
|
1700 |
+
"eval_runtime": 0.4706,
|
1701 |
+
"eval_samples_per_second": 8.499,
|
1702 |
+
"eval_steps_per_second": 2.125,
|
1703 |
+
"step": 484
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.2,
|
1707 |
+
"learning_rate": 2.4143999999999997e-07,
|
1708 |
+
"loss": 2.1291,
|
1709 |
+
"step": 488
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 0.2,
|
1713 |
+
"eval_loss": 1.9767786264419556,
|
1714 |
+
"eval_runtime": 0.4803,
|
1715 |
+
"eval_samples_per_second": 8.327,
|
1716 |
+
"eval_steps_per_second": 2.082,
|
1717 |
+
"step": 488
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.2,
|
1721 |
+
"learning_rate": 2.4096e-07,
|
1722 |
+
"loss": 2.1124,
|
1723 |
+
"step": 492
|
1724 |
+
},
|
1725 |
+
{
|
1726 |
+
"epoch": 0.2,
|
1727 |
+
"eval_loss": 1.9728602170944214,
|
1728 |
+
"eval_runtime": 0.4802,
|
1729 |
+
"eval_samples_per_second": 8.33,
|
1730 |
+
"eval_steps_per_second": 2.082,
|
1731 |
+
"step": 492
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.2,
|
1735 |
+
"learning_rate": 2.4048e-07,
|
1736 |
+
"loss": 2.0738,
|
1737 |
+
"step": 496
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.2,
|
1741 |
+
"eval_loss": 1.968900203704834,
|
1742 |
+
"eval_runtime": 0.4884,
|
1743 |
+
"eval_samples_per_second": 8.189,
|
1744 |
+
"eval_steps_per_second": 2.047,
|
1745 |
+
"step": 496
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.2,
|
1749 |
+
"learning_rate": 2.4e-07,
|
1750 |
+
"loss": 2.1048,
|
1751 |
+
"step": 500
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 0.2,
|
1755 |
+
"eval_loss": 1.9646457433700562,
|
1756 |
+
"eval_runtime": 0.5026,
|
1757 |
+
"eval_samples_per_second": 7.959,
|
1758 |
+
"eval_steps_per_second": 1.99,
|
1759 |
+
"step": 500
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.2,
|
1763 |
+
"learning_rate": 2.3951999999999996e-07,
|
1764 |
+
"loss": 2.0995,
|
1765 |
+
"step": 504
|
1766 |
+
},
|
1767 |
+
{
|
1768 |
+
"epoch": 0.2,
|
1769 |
+
"eval_loss": 1.9606600999832153,
|
1770 |
+
"eval_runtime": 0.7928,
|
1771 |
+
"eval_samples_per_second": 5.045,
|
1772 |
+
"eval_steps_per_second": 1.261,
|
1773 |
+
"step": 504
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.2,
|
1777 |
+
"learning_rate": 2.3903999999999995e-07,
|
1778 |
+
"loss": 2.0816,
|
1779 |
+
"step": 508
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 0.2,
|
1783 |
+
"eval_loss": 1.956822395324707,
|
1784 |
+
"eval_runtime": 0.5321,
|
1785 |
+
"eval_samples_per_second": 7.518,
|
1786 |
+
"eval_steps_per_second": 1.879,
|
1787 |
+
"step": 508
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.2,
|
1791 |
+
"learning_rate": 2.3856e-07,
|
1792 |
+
"loss": 2.0969,
|
1793 |
+
"step": 512
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 0.2,
|
1797 |
+
"eval_loss": 1.9526716470718384,
|
1798 |
+
"eval_runtime": 0.5174,
|
1799 |
+
"eval_samples_per_second": 7.732,
|
1800 |
+
"eval_steps_per_second": 1.933,
|
1801 |
+
"step": 512
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.21,
|
1805 |
+
"learning_rate": 2.3807999999999997e-07,
|
1806 |
+
"loss": 2.1034,
|
1807 |
+
"step": 516
|
1808 |
+
},
|
1809 |
+
{
|
1810 |
+
"epoch": 0.21,
|
1811 |
+
"eval_loss": 1.948419451713562,
|
1812 |
+
"eval_runtime": 0.5393,
|
1813 |
+
"eval_samples_per_second": 7.418,
|
1814 |
+
"eval_steps_per_second": 1.854,
|
1815 |
+
"step": 516
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.21,
|
1819 |
+
"learning_rate": 2.376e-07,
|
1820 |
+
"loss": 2.0654,
|
1821 |
+
"step": 520
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 0.21,
|
1825 |
+
"eval_loss": 1.9442145824432373,
|
1826 |
+
"eval_runtime": 0.5372,
|
1827 |
+
"eval_samples_per_second": 7.446,
|
1828 |
+
"eval_steps_per_second": 1.861,
|
1829 |
+
"step": 520
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.21,
|
1833 |
+
"learning_rate": 2.3712e-07,
|
1834 |
+
"loss": 2.1175,
|
1835 |
+
"step": 524
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 0.21,
|
1839 |
+
"eval_loss": 1.9403698444366455,
|
1840 |
+
"eval_runtime": 0.5129,
|
1841 |
+
"eval_samples_per_second": 7.798,
|
1842 |
+
"eval_steps_per_second": 1.95,
|
1843 |
+
"step": 524
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.21,
|
1847 |
+
"learning_rate": 2.3663999999999998e-07,
|
1848 |
+
"loss": 2.0829,
|
1849 |
+
"step": 528
|
1850 |
+
},
|
1851 |
+
{
|
1852 |
+
"epoch": 0.21,
|
1853 |
+
"eval_loss": 1.936263084411621,
|
1854 |
+
"eval_runtime": 0.7202,
|
1855 |
+
"eval_samples_per_second": 5.554,
|
1856 |
+
"eval_steps_per_second": 1.388,
|
1857 |
+
"step": 528
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.21,
|
1861 |
+
"learning_rate": 2.3616e-07,
|
1862 |
+
"loss": 2.0973,
|
1863 |
+
"step": 532
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 0.21,
|
1867 |
+
"eval_loss": 1.9322115182876587,
|
1868 |
+
"eval_runtime": 0.6884,
|
1869 |
+
"eval_samples_per_second": 5.81,
|
1870 |
+
"eval_steps_per_second": 1.453,
|
1871 |
+
"step": 532
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.21,
|
1875 |
+
"learning_rate": 2.3567999999999998e-07,
|
1876 |
+
"loss": 2.0439,
|
1877 |
+
"step": 536
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 0.21,
|
1881 |
+
"eval_loss": 1.927826166152954,
|
1882 |
+
"eval_runtime": 0.7779,
|
1883 |
+
"eval_samples_per_second": 5.142,
|
1884 |
+
"eval_steps_per_second": 1.286,
|
1885 |
+
"step": 536
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.22,
|
1889 |
+
"learning_rate": 2.352e-07,
|
1890 |
+
"loss": 2.0791,
|
1891 |
+
"step": 540
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 0.22,
|
1895 |
+
"eval_loss": 1.923945426940918,
|
1896 |
+
"eval_runtime": 0.7514,
|
1897 |
+
"eval_samples_per_second": 5.323,
|
1898 |
+
"eval_steps_per_second": 1.331,
|
1899 |
+
"step": 540
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.22,
|
1903 |
+
"learning_rate": 2.3471999999999997e-07,
|
1904 |
+
"loss": 2.0988,
|
1905 |
+
"step": 544
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 0.22,
|
1909 |
+
"eval_loss": 1.9202955961227417,
|
1910 |
+
"eval_runtime": 0.5194,
|
1911 |
+
"eval_samples_per_second": 7.701,
|
1912 |
+
"eval_steps_per_second": 1.925,
|
1913 |
+
"step": 544
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.22,
|
1917 |
+
"learning_rate": 2.3424e-07,
|
1918 |
+
"loss": 2.0179,
|
1919 |
+
"step": 548
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 0.22,
|
1923 |
+
"eval_loss": 1.916027307510376,
|
1924 |
+
"eval_runtime": 0.5072,
|
1925 |
+
"eval_samples_per_second": 7.887,
|
1926 |
+
"eval_steps_per_second": 1.972,
|
1927 |
+
"step": 548
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.22,
|
1931 |
+
"learning_rate": 2.3376e-07,
|
1932 |
+
"loss": 2.0452,
|
1933 |
+
"step": 552
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 0.22,
|
1937 |
+
"eval_loss": 1.911855697631836,
|
1938 |
+
"eval_runtime": 0.5112,
|
1939 |
+
"eval_samples_per_second": 7.825,
|
1940 |
+
"eval_steps_per_second": 1.956,
|
1941 |
+
"step": 552
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.22,
|
1945 |
+
"learning_rate": 2.3327999999999998e-07,
|
1946 |
+
"loss": 1.9792,
|
1947 |
+
"step": 556
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.22,
|
1951 |
+
"eval_loss": 1.907868504524231,
|
1952 |
+
"eval_runtime": 0.5368,
|
1953 |
+
"eval_samples_per_second": 7.452,
|
1954 |
+
"eval_steps_per_second": 1.863,
|
1955 |
+
"step": 556
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.22,
|
1959 |
+
"learning_rate": 2.328e-07,
|
1960 |
+
"loss": 1.9862,
|
1961 |
+
"step": 560
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 0.22,
|
1965 |
+
"eval_loss": 1.9032366275787354,
|
1966 |
+
"eval_runtime": 0.52,
|
1967 |
+
"eval_samples_per_second": 7.692,
|
1968 |
+
"eval_steps_per_second": 1.923,
|
1969 |
+
"step": 560
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.23,
|
1973 |
+
"learning_rate": 2.3231999999999998e-07,
|
1974 |
+
"loss": 2.0176,
|
1975 |
+
"step": 564
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 0.23,
|
1979 |
+
"eval_loss": 1.8994207382202148,
|
1980 |
+
"eval_runtime": 0.5141,
|
1981 |
+
"eval_samples_per_second": 7.78,
|
1982 |
+
"eval_steps_per_second": 1.945,
|
1983 |
+
"step": 564
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.23,
|
1987 |
+
"learning_rate": 2.3184e-07,
|
1988 |
+
"loss": 2.0066,
|
1989 |
+
"step": 568
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.23,
|
1993 |
+
"eval_loss": 1.8953509330749512,
|
1994 |
+
"eval_runtime": 0.7027,
|
1995 |
+
"eval_samples_per_second": 5.692,
|
1996 |
+
"eval_steps_per_second": 1.423,
|
1997 |
+
"step": 568
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.23,
|
2001 |
+
"learning_rate": 2.3135999999999998e-07,
|
2002 |
+
"loss": 2.0333,
|
2003 |
+
"step": 572
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 0.23,
|
2007 |
+
"eval_loss": 1.8914432525634766,
|
2008 |
+
"eval_runtime": 0.7279,
|
2009 |
+
"eval_samples_per_second": 5.495,
|
2010 |
+
"eval_steps_per_second": 1.374,
|
2011 |
+
"step": 572
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.23,
|
2015 |
+
"learning_rate": 2.3088e-07,
|
2016 |
+
"loss": 2.0316,
|
2017 |
+
"step": 576
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 0.23,
|
2021 |
+
"eval_loss": 1.8870800733566284,
|
2022 |
+
"eval_runtime": 0.7212,
|
2023 |
+
"eval_samples_per_second": 5.546,
|
2024 |
+
"eval_steps_per_second": 1.386,
|
2025 |
+
"step": 576
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.23,
|
2029 |
+
"learning_rate": 2.304e-07,
|
2030 |
+
"loss": 2.0114,
|
2031 |
+
"step": 580
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 0.23,
|
2035 |
+
"eval_loss": 1.8827916383743286,
|
2036 |
+
"eval_runtime": 0.6774,
|
2037 |
+
"eval_samples_per_second": 5.905,
|
2038 |
+
"eval_steps_per_second": 1.476,
|
2039 |
+
"step": 580
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.23,
|
2043 |
+
"learning_rate": 2.2991999999999998e-07,
|
2044 |
+
"loss": 2.0093,
|
2045 |
+
"step": 584
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 0.23,
|
2049 |
+
"eval_loss": 1.8788678646087646,
|
2050 |
+
"eval_runtime": 0.5185,
|
2051 |
+
"eval_samples_per_second": 7.715,
|
2052 |
+
"eval_steps_per_second": 1.929,
|
2053 |
+
"step": 584
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.24,
|
2057 |
+
"learning_rate": 2.2944e-07,
|
2058 |
+
"loss": 1.9829,
|
2059 |
+
"step": 588
|
2060 |
+
},
|
2061 |
+
{
|
2062 |
+
"epoch": 0.24,
|
2063 |
+
"eval_loss": 1.8749186992645264,
|
2064 |
+
"eval_runtime": 0.5091,
|
2065 |
+
"eval_samples_per_second": 7.857,
|
2066 |
+
"eval_steps_per_second": 1.964,
|
2067 |
+
"step": 588
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.24,
|
2071 |
+
"learning_rate": 2.2895999999999998e-07,
|
2072 |
+
"loss": 1.971,
|
2073 |
+
"step": 592
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 0.24,
|
2077 |
+
"eval_loss": 1.8706499338150024,
|
2078 |
+
"eval_runtime": 0.5204,
|
2079 |
+
"eval_samples_per_second": 7.687,
|
2080 |
+
"eval_steps_per_second": 1.922,
|
2081 |
+
"step": 592
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.24,
|
2085 |
+
"learning_rate": 2.2848000000000002e-07,
|
2086 |
+
"loss": 2.0188,
|
2087 |
+
"step": 596
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 0.24,
|
2091 |
+
"eval_loss": 1.8667842149734497,
|
2092 |
+
"eval_runtime": 0.5224,
|
2093 |
+
"eval_samples_per_second": 7.657,
|
2094 |
+
"eval_steps_per_second": 1.914,
|
2095 |
+
"step": 596
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.24,
|
2099 |
+
"learning_rate": 2.28e-07,
|
2100 |
+
"loss": 2.0081,
|
2101 |
+
"step": 600
|
2102 |
+
},
|
2103 |
+
{
|
2104 |
+
"epoch": 0.24,
|
2105 |
+
"eval_loss": 1.8627525568008423,
|
2106 |
+
"eval_runtime": 0.5196,
|
2107 |
+
"eval_samples_per_second": 7.699,
|
2108 |
+
"eval_steps_per_second": 1.925,
|
2109 |
+
"step": 600
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.24,
|
2113 |
+
"learning_rate": 2.2752e-07,
|
2114 |
+
"loss": 2.0014,
|
2115 |
+
"step": 604
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 0.24,
|
2119 |
+
"eval_loss": 1.8587167263031006,
|
2120 |
+
"eval_runtime": 0.7373,
|
2121 |
+
"eval_samples_per_second": 5.425,
|
2122 |
+
"eval_steps_per_second": 1.356,
|
2123 |
+
"step": 604
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.24,
|
2127 |
+
"learning_rate": 2.2704e-07,
|
2128 |
+
"loss": 1.9741,
|
2129 |
+
"step": 608
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 0.24,
|
2133 |
+
"eval_loss": 1.8543612957000732,
|
2134 |
+
"eval_runtime": 0.7492,
|
2135 |
+
"eval_samples_per_second": 5.339,
|
2136 |
+
"eval_steps_per_second": 1.335,
|
2137 |
+
"step": 608
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.24,
|
2141 |
+
"learning_rate": 2.2655999999999999e-07,
|
2142 |
+
"loss": 1.9828,
|
2143 |
+
"step": 612
|
2144 |
+
},
|
2145 |
+
{
|
2146 |
+
"epoch": 0.24,
|
2147 |
+
"eval_loss": 1.8504937887191772,
|
2148 |
+
"eval_runtime": 0.7242,
|
2149 |
+
"eval_samples_per_second": 5.524,
|
2150 |
+
"eval_steps_per_second": 1.381,
|
2151 |
+
"step": 612
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.25,
|
2155 |
+
"learning_rate": 2.2608e-07,
|
2156 |
+
"loss": 1.9481,
|
2157 |
+
"step": 616
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 0.25,
|
2161 |
+
"eval_loss": 1.8463339805603027,
|
2162 |
+
"eval_runtime": 0.6997,
|
2163 |
+
"eval_samples_per_second": 5.716,
|
2164 |
+
"eval_steps_per_second": 1.429,
|
2165 |
+
"step": 616
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.25,
|
2169 |
+
"learning_rate": 2.2559999999999998e-07,
|
2170 |
+
"loss": 1.9584,
|
2171 |
+
"step": 620
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 0.25,
|
2175 |
+
"eval_loss": 1.8423882722854614,
|
2176 |
+
"eval_runtime": 0.5137,
|
2177 |
+
"eval_samples_per_second": 7.787,
|
2178 |
+
"eval_steps_per_second": 1.947,
|
2179 |
+
"step": 620
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.25,
|
2183 |
+
"learning_rate": 2.2511999999999997e-07,
|
2184 |
+
"loss": 1.9449,
|
2185 |
+
"step": 624
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 0.25,
|
2189 |
+
"eval_loss": 1.838066577911377,
|
2190 |
+
"eval_runtime": 0.5091,
|
2191 |
+
"eval_samples_per_second": 7.857,
|
2192 |
+
"eval_steps_per_second": 1.964,
|
2193 |
+
"step": 624
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.25,
|
2197 |
+
"learning_rate": 2.2464e-07,
|
2198 |
+
"loss": 1.9753,
|
2199 |
+
"step": 628
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.25,
|
2203 |
+
"eval_loss": 1.8342829942703247,
|
2204 |
+
"eval_runtime": 0.504,
|
2205 |
+
"eval_samples_per_second": 7.936,
|
2206 |
+
"eval_steps_per_second": 1.984,
|
2207 |
+
"step": 628
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.25,
|
2211 |
+
"learning_rate": 2.2416e-07,
|
2212 |
+
"loss": 2.0055,
|
2213 |
+
"step": 632
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 0.25,
|
2217 |
+
"eval_loss": 1.8300307989120483,
|
2218 |
+
"eval_runtime": 0.5201,
|
2219 |
+
"eval_samples_per_second": 7.691,
|
2220 |
+
"eval_steps_per_second": 1.923,
|
2221 |
+
"step": 632
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.25,
|
2225 |
+
"learning_rate": 2.2368e-07,
|
2226 |
+
"loss": 1.98,
|
2227 |
+
"step": 636
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 0.25,
|
2231 |
+
"eval_loss": 1.8260575532913208,
|
2232 |
+
"eval_runtime": 0.5267,
|
2233 |
+
"eval_samples_per_second": 7.594,
|
2234 |
+
"eval_steps_per_second": 1.898,
|
2235 |
+
"step": 636
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.26,
|
2239 |
+
"learning_rate": 2.232e-07,
|
2240 |
+
"loss": 1.9757,
|
2241 |
+
"step": 640
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 0.26,
|
2245 |
+
"eval_loss": 1.8222540616989136,
|
2246 |
+
"eval_runtime": 0.7574,
|
2247 |
+
"eval_samples_per_second": 5.281,
|
2248 |
+
"eval_steps_per_second": 1.32,
|
2249 |
+
"step": 640
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.26,
|
2253 |
+
"learning_rate": 2.2271999999999997e-07,
|
2254 |
+
"loss": 1.9683,
|
2255 |
+
"step": 644
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 0.26,
|
2259 |
+
"eval_loss": 1.818216323852539,
|
2260 |
+
"eval_runtime": 0.7304,
|
2261 |
+
"eval_samples_per_second": 5.476,
|
2262 |
+
"eval_steps_per_second": 1.369,
|
2263 |
+
"step": 644
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.26,
|
2267 |
+
"learning_rate": 2.2223999999999998e-07,
|
2268 |
+
"loss": 1.926,
|
2269 |
+
"step": 648
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 0.26,
|
2273 |
+
"eval_loss": 1.8140522241592407,
|
2274 |
+
"eval_runtime": 0.7453,
|
2275 |
+
"eval_samples_per_second": 5.367,
|
2276 |
+
"eval_steps_per_second": 1.342,
|
2277 |
+
"step": 648
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.26,
|
2281 |
+
"learning_rate": 2.2175999999999997e-07,
|
2282 |
+
"loss": 1.9454,
|
2283 |
+
"step": 652
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 0.26,
|
2287 |
+
"eval_loss": 1.8100805282592773,
|
2288 |
+
"eval_runtime": 0.6536,
|
2289 |
+
"eval_samples_per_second": 6.12,
|
2290 |
+
"eval_steps_per_second": 1.53,
|
2291 |
+
"step": 652
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.26,
|
2295 |
+
"learning_rate": 2.2128e-07,
|
2296 |
+
"loss": 1.9352,
|
2297 |
+
"step": 656
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 0.26,
|
2301 |
+
"eval_loss": 1.8059089183807373,
|
2302 |
+
"eval_runtime": 0.5193,
|
2303 |
+
"eval_samples_per_second": 7.702,
|
2304 |
+
"eval_steps_per_second": 1.926,
|
2305 |
+
"step": 656
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.26,
|
2309 |
+
"learning_rate": 2.208e-07,
|
2310 |
+
"loss": 1.8816,
|
2311 |
+
"step": 660
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 0.26,
|
2315 |
+
"eval_loss": 1.8020563125610352,
|
2316 |
+
"eval_runtime": 0.5265,
|
2317 |
+
"eval_samples_per_second": 7.597,
|
2318 |
+
"eval_steps_per_second": 1.899,
|
2319 |
+
"step": 660
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.27,
|
2323 |
+
"learning_rate": 2.2032e-07,
|
2324 |
+
"loss": 1.9182,
|
2325 |
+
"step": 664
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 0.27,
|
2329 |
+
"eval_loss": 1.7980492115020752,
|
2330 |
+
"eval_runtime": 0.5102,
|
2331 |
+
"eval_samples_per_second": 7.84,
|
2332 |
+
"eval_steps_per_second": 1.96,
|
2333 |
+
"step": 664
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.27,
|
2337 |
+
"learning_rate": 2.1984e-07,
|
2338 |
+
"loss": 1.9659,
|
2339 |
+
"step": 668
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 0.27,
|
2343 |
+
"eval_loss": 1.7941217422485352,
|
2344 |
+
"eval_runtime": 0.5988,
|
2345 |
+
"eval_samples_per_second": 6.681,
|
2346 |
+
"eval_steps_per_second": 1.67,
|
2347 |
+
"step": 668
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.27,
|
2351 |
+
"learning_rate": 2.1935999999999997e-07,
|
2352 |
+
"loss": 1.8932,
|
2353 |
+
"step": 672
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 0.27,
|
2357 |
+
"eval_loss": 1.7901490926742554,
|
2358 |
+
"eval_runtime": 0.5339,
|
2359 |
+
"eval_samples_per_second": 7.492,
|
2360 |
+
"eval_steps_per_second": 1.873,
|
2361 |
+
"step": 672
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.27,
|
2365 |
+
"learning_rate": 2.1887999999999999e-07,
|
2366 |
+
"loss": 1.8608,
|
2367 |
+
"step": 676
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 0.27,
|
2371 |
+
"eval_loss": 1.786109447479248,
|
2372 |
+
"eval_runtime": 0.7219,
|
2373 |
+
"eval_samples_per_second": 5.541,
|
2374 |
+
"eval_steps_per_second": 1.385,
|
2375 |
+
"step": 676
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.27,
|
2379 |
+
"learning_rate": 2.184e-07,
|
2380 |
+
"loss": 1.941,
|
2381 |
+
"step": 680
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 0.27,
|
2385 |
+
"eval_loss": 1.7824102640151978,
|
2386 |
+
"eval_runtime": 0.7619,
|
2387 |
+
"eval_samples_per_second": 5.25,
|
2388 |
+
"eval_steps_per_second": 1.313,
|
2389 |
+
"step": 680
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.27,
|
2393 |
+
"learning_rate": 2.1792e-07,
|
2394 |
+
"loss": 1.8854,
|
2395 |
+
"step": 684
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 0.27,
|
2399 |
+
"eval_loss": 1.77846097946167,
|
2400 |
+
"eval_runtime": 0.7601,
|
2401 |
+
"eval_samples_per_second": 5.262,
|
2402 |
+
"eval_steps_per_second": 1.316,
|
2403 |
+
"step": 684
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.28,
|
2407 |
+
"learning_rate": 2.1744e-07,
|
2408 |
+
"loss": 1.8912,
|
2409 |
+
"step": 688
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 0.28,
|
2413 |
+
"eval_loss": 1.7742952108383179,
|
2414 |
+
"eval_runtime": 0.59,
|
2415 |
+
"eval_samples_per_second": 6.78,
|
2416 |
+
"eval_steps_per_second": 1.695,
|
2417 |
+
"step": 688
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.28,
|
2421 |
+
"learning_rate": 2.1695999999999998e-07,
|
2422 |
+
"loss": 1.8667,
|
2423 |
+
"step": 692
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 0.28,
|
2427 |
+
"eval_loss": 1.770714521408081,
|
2428 |
+
"eval_runtime": 0.5262,
|
2429 |
+
"eval_samples_per_second": 7.601,
|
2430 |
+
"eval_steps_per_second": 1.9,
|
2431 |
+
"step": 692
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.28,
|
2435 |
+
"learning_rate": 2.1648e-07,
|
2436 |
+
"loss": 1.912,
|
2437 |
+
"step": 696
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 0.28,
|
2441 |
+
"eval_loss": 1.7666008472442627,
|
2442 |
+
"eval_runtime": 0.5272,
|
2443 |
+
"eval_samples_per_second": 7.587,
|
2444 |
+
"eval_steps_per_second": 1.897,
|
2445 |
+
"step": 696
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.28,
|
2449 |
+
"learning_rate": 2.1599999999999998e-07,
|
2450 |
+
"loss": 1.9009,
|
2451 |
+
"step": 700
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 0.28,
|
2455 |
+
"eval_loss": 1.7627824544906616,
|
2456 |
+
"eval_runtime": 0.5295,
|
2457 |
+
"eval_samples_per_second": 7.555,
|
2458 |
+
"eval_steps_per_second": 1.889,
|
2459 |
+
"step": 700
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.28,
|
2463 |
+
"learning_rate": 2.1552000000000001e-07,
|
2464 |
+
"loss": 1.906,
|
2465 |
+
"step": 704
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 0.28,
|
2469 |
+
"eval_loss": 1.75889253616333,
|
2470 |
+
"eval_runtime": 0.5589,
|
2471 |
+
"eval_samples_per_second": 7.157,
|
2472 |
+
"eval_steps_per_second": 1.789,
|
2473 |
+
"step": 704
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.28,
|
2477 |
+
"learning_rate": 2.1504e-07,
|
2478 |
+
"loss": 1.8671,
|
2479 |
+
"step": 708
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 0.28,
|
2483 |
+
"eval_loss": 1.7549973726272583,
|
2484 |
+
"eval_runtime": 0.687,
|
2485 |
+
"eval_samples_per_second": 5.822,
|
2486 |
+
"eval_steps_per_second": 1.456,
|
2487 |
+
"step": 708
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.28,
|
2491 |
+
"learning_rate": 2.1455999999999998e-07,
|
2492 |
+
"loss": 1.8609,
|
2493 |
+
"step": 712
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 0.28,
|
2497 |
+
"eval_loss": 1.7507662773132324,
|
2498 |
+
"eval_runtime": 0.7225,
|
2499 |
+
"eval_samples_per_second": 5.537,
|
2500 |
+
"eval_steps_per_second": 1.384,
|
2501 |
+
"step": 712
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.29,
|
2505 |
+
"learning_rate": 2.1408e-07,
|
2506 |
+
"loss": 1.8485,
|
2507 |
+
"step": 716
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 0.29,
|
2511 |
+
"eval_loss": 1.746917486190796,
|
2512 |
+
"eval_runtime": 0.7954,
|
2513 |
+
"eval_samples_per_second": 5.029,
|
2514 |
+
"eval_steps_per_second": 1.257,
|
2515 |
+
"step": 716
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.29,
|
2519 |
+
"learning_rate": 2.1359999999999998e-07,
|
2520 |
+
"loss": 1.8334,
|
2521 |
+
"step": 720
|
2522 |
+
},
|
2523 |
+
{
|
2524 |
+
"epoch": 0.29,
|
2525 |
+
"eval_loss": 1.7430514097213745,
|
2526 |
+
"eval_runtime": 0.7433,
|
2527 |
+
"eval_samples_per_second": 5.381,
|
2528 |
+
"eval_steps_per_second": 1.345,
|
2529 |
+
"step": 720
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.29,
|
2533 |
+
"learning_rate": 2.1312e-07,
|
2534 |
+
"loss": 1.8763,
|
2535 |
+
"step": 724
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 0.29,
|
2539 |
+
"eval_loss": 1.7392196655273438,
|
2540 |
+
"eval_runtime": 0.5237,
|
2541 |
+
"eval_samples_per_second": 7.638,
|
2542 |
+
"eval_steps_per_second": 1.91,
|
2543 |
+
"step": 724
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.29,
|
2547 |
+
"learning_rate": 2.1263999999999998e-07,
|
2548 |
+
"loss": 1.9005,
|
2549 |
+
"step": 728
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 0.29,
|
2553 |
+
"eval_loss": 1.7355214357376099,
|
2554 |
+
"eval_runtime": 0.524,
|
2555 |
+
"eval_samples_per_second": 7.634,
|
2556 |
+
"eval_steps_per_second": 1.908,
|
2557 |
+
"step": 728
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.29,
|
2561 |
+
"learning_rate": 2.1216000000000002e-07,
|
2562 |
+
"loss": 1.8669,
|
2563 |
+
"step": 732
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 0.29,
|
2567 |
+
"eval_loss": 1.731513261795044,
|
2568 |
+
"eval_runtime": 0.5593,
|
2569 |
+
"eval_samples_per_second": 7.152,
|
2570 |
+
"eval_steps_per_second": 1.788,
|
2571 |
+
"step": 732
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.29,
|
2575 |
+
"learning_rate": 2.1168e-07,
|
2576 |
+
"loss": 1.8984,
|
2577 |
+
"step": 736
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 0.29,
|
2581 |
+
"eval_loss": 1.727636694908142,
|
2582 |
+
"eval_runtime": 0.5241,
|
2583 |
+
"eval_samples_per_second": 7.632,
|
2584 |
+
"eval_steps_per_second": 1.908,
|
2585 |
+
"step": 736
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.3,
|
2589 |
+
"learning_rate": 2.1119999999999999e-07,
|
2590 |
+
"loss": 1.8074,
|
2591 |
+
"step": 740
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 0.3,
|
2595 |
+
"eval_loss": 1.7240556478500366,
|
2596 |
+
"eval_runtime": 0.715,
|
2597 |
+
"eval_samples_per_second": 5.594,
|
2598 |
+
"eval_steps_per_second": 1.399,
|
2599 |
+
"step": 740
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.3,
|
2603 |
+
"learning_rate": 2.1072e-07,
|
2604 |
+
"loss": 1.8614,
|
2605 |
+
"step": 744
|
2606 |
+
},
|
2607 |
+
{
|
2608 |
+
"epoch": 0.3,
|
2609 |
+
"eval_loss": 1.7201639413833618,
|
2610 |
+
"eval_runtime": 0.7611,
|
2611 |
+
"eval_samples_per_second": 5.256,
|
2612 |
+
"eval_steps_per_second": 1.314,
|
2613 |
+
"step": 744
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.3,
|
2617 |
+
"learning_rate": 2.1023999999999998e-07,
|
2618 |
+
"loss": 1.8211,
|
2619 |
+
"step": 748
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 0.3,
|
2623 |
+
"eval_loss": 1.7165008783340454,
|
2624 |
+
"eval_runtime": 0.7193,
|
2625 |
+
"eval_samples_per_second": 5.561,
|
2626 |
+
"eval_steps_per_second": 1.39,
|
2627 |
+
"step": 748
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.3,
|
2631 |
+
"learning_rate": 2.0976e-07,
|
2632 |
+
"loss": 1.8553,
|
2633 |
+
"step": 752
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 0.3,
|
2637 |
+
"eval_loss": 1.7123990058898926,
|
2638 |
+
"eval_runtime": 0.5463,
|
2639 |
+
"eval_samples_per_second": 7.323,
|
2640 |
+
"eval_steps_per_second": 1.831,
|
2641 |
+
"step": 752
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.3,
|
2645 |
+
"learning_rate": 2.0927999999999998e-07,
|
2646 |
+
"loss": 1.7978,
|
2647 |
+
"step": 756
|
2648 |
+
},
|
2649 |
+
{
|
2650 |
+
"epoch": 0.3,
|
2651 |
+
"eval_loss": 1.7084720134735107,
|
2652 |
+
"eval_runtime": 0.574,
|
2653 |
+
"eval_samples_per_second": 6.968,
|
2654 |
+
"eval_steps_per_second": 1.742,
|
2655 |
+
"step": 756
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.3,
|
2659 |
+
"learning_rate": 2.0879999999999996e-07,
|
2660 |
+
"loss": 1.8203,
|
2661 |
+
"step": 760
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 0.3,
|
2665 |
+
"eval_loss": 1.7048146724700928,
|
2666 |
+
"eval_runtime": 0.5838,
|
2667 |
+
"eval_samples_per_second": 6.852,
|
2668 |
+
"eval_steps_per_second": 1.713,
|
2669 |
+
"step": 760
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.31,
|
2673 |
+
"learning_rate": 2.0832e-07,
|
2674 |
+
"loss": 1.8192,
|
2675 |
+
"step": 764
|
2676 |
+
},
|
2677 |
+
{
|
2678 |
+
"epoch": 0.31,
|
2679 |
+
"eval_loss": 1.7010469436645508,
|
2680 |
+
"eval_runtime": 0.5225,
|
2681 |
+
"eval_samples_per_second": 7.656,
|
2682 |
+
"eval_steps_per_second": 1.914,
|
2683 |
+
"step": 764
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.31,
|
2687 |
+
"learning_rate": 2.0784e-07,
|
2688 |
+
"loss": 1.8532,
|
2689 |
+
"step": 768
|
2690 |
+
},
|
2691 |
+
{
|
2692 |
+
"epoch": 0.31,
|
2693 |
+
"eval_loss": 1.6973625421524048,
|
2694 |
+
"eval_runtime": 0.525,
|
2695 |
+
"eval_samples_per_second": 7.619,
|
2696 |
+
"eval_steps_per_second": 1.905,
|
2697 |
+
"step": 768
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.31,
|
2701 |
+
"learning_rate": 2.0736e-07,
|
2702 |
+
"loss": 1.8307,
|
2703 |
+
"step": 772
|
2704 |
+
},
|
2705 |
+
{
|
2706 |
+
"epoch": 0.31,
|
2707 |
+
"eval_loss": 1.6935136318206787,
|
2708 |
+
"eval_runtime": 0.7235,
|
2709 |
+
"eval_samples_per_second": 5.528,
|
2710 |
+
"eval_steps_per_second": 1.382,
|
2711 |
+
"step": 772
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.31,
|
2715 |
+
"learning_rate": 2.0687999999999998e-07,
|
2716 |
+
"loss": 1.8207,
|
2717 |
+
"step": 776
|
2718 |
+
},
|
2719 |
+
{
|
2720 |
+
"epoch": 0.31,
|
2721 |
+
"eval_loss": 1.6895670890808105,
|
2722 |
+
"eval_runtime": 0.8289,
|
2723 |
+
"eval_samples_per_second": 4.826,
|
2724 |
+
"eval_steps_per_second": 1.206,
|
2725 |
+
"step": 776
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.31,
|
2729 |
+
"learning_rate": 2.0639999999999997e-07,
|
2730 |
+
"loss": 1.7895,
|
2731 |
+
"step": 780
|
2732 |
+
},
|
2733 |
+
{
|
2734 |
+
"epoch": 0.31,
|
2735 |
+
"eval_loss": 1.6858075857162476,
|
2736 |
+
"eval_runtime": 0.7778,
|
2737 |
+
"eval_samples_per_second": 5.143,
|
2738 |
+
"eval_steps_per_second": 1.286,
|
2739 |
+
"step": 780
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.31,
|
2743 |
+
"learning_rate": 2.0592e-07,
|
2744 |
+
"loss": 1.7976,
|
2745 |
+
"step": 784
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 0.31,
|
2749 |
+
"eval_loss": 1.6820955276489258,
|
2750 |
+
"eval_runtime": 0.5265,
|
2751 |
+
"eval_samples_per_second": 7.597,
|
2752 |
+
"eval_steps_per_second": 1.899,
|
2753 |
+
"step": 784
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.32,
|
2757 |
+
"learning_rate": 2.0544e-07,
|
2758 |
+
"loss": 1.814,
|
2759 |
+
"step": 788
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 0.32,
|
2763 |
+
"eval_loss": 1.6785138845443726,
|
2764 |
+
"eval_runtime": 0.5179,
|
2765 |
+
"eval_samples_per_second": 7.724,
|
2766 |
+
"eval_steps_per_second": 1.931,
|
2767 |
+
"step": 788
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.32,
|
2771 |
+
"learning_rate": 2.0496e-07,
|
2772 |
+
"loss": 1.7972,
|
2773 |
+
"step": 792
|
2774 |
+
},
|
2775 |
+
{
|
2776 |
+
"epoch": 0.32,
|
2777 |
+
"eval_loss": 1.674804449081421,
|
2778 |
+
"eval_runtime": 0.5304,
|
2779 |
+
"eval_samples_per_second": 7.541,
|
2780 |
+
"eval_steps_per_second": 1.885,
|
2781 |
+
"step": 792
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.32,
|
2785 |
+
"learning_rate": 2.0448e-07,
|
2786 |
+
"loss": 1.8258,
|
2787 |
+
"step": 796
|
2788 |
+
},
|
2789 |
+
{
|
2790 |
+
"epoch": 0.32,
|
2791 |
+
"eval_loss": 1.6713837385177612,
|
2792 |
+
"eval_runtime": 0.5336,
|
2793 |
+
"eval_samples_per_second": 7.496,
|
2794 |
+
"eval_steps_per_second": 1.874,
|
2795 |
+
"step": 796
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.32,
|
2799 |
+
"learning_rate": 2.04e-07,
|
2800 |
+
"loss": 1.79,
|
2801 |
+
"step": 800
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 0.32,
|
2805 |
+
"eval_loss": 1.667376160621643,
|
2806 |
+
"eval_runtime": 0.7608,
|
2807 |
+
"eval_samples_per_second": 5.258,
|
2808 |
+
"eval_steps_per_second": 1.314,
|
2809 |
+
"step": 800
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.32,
|
2813 |
+
"learning_rate": 2.0351999999999999e-07,
|
2814 |
+
"loss": 1.802,
|
2815 |
+
"step": 804
|
2816 |
+
},
|
2817 |
+
{
|
2818 |
+
"epoch": 0.32,
|
2819 |
+
"eval_loss": 1.6640408039093018,
|
2820 |
+
"eval_runtime": 0.7498,
|
2821 |
+
"eval_samples_per_second": 5.335,
|
2822 |
+
"eval_steps_per_second": 1.334,
|
2823 |
+
"step": 804
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.32,
|
2827 |
+
"learning_rate": 2.0303999999999997e-07,
|
2828 |
+
"loss": 1.7784,
|
2829 |
+
"step": 808
|
2830 |
+
},
|
2831 |
+
{
|
2832 |
+
"epoch": 0.32,
|
2833 |
+
"eval_loss": 1.6603385210037231,
|
2834 |
+
"eval_runtime": 0.7501,
|
2835 |
+
"eval_samples_per_second": 5.333,
|
2836 |
+
"eval_steps_per_second": 1.333,
|
2837 |
+
"step": 808
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.32,
|
2841 |
+
"learning_rate": 2.0256e-07,
|
2842 |
+
"loss": 1.7671,
|
2843 |
+
"step": 812
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 0.32,
|
2847 |
+
"eval_loss": 1.6568516492843628,
|
2848 |
+
"eval_runtime": 0.5206,
|
2849 |
+
"eval_samples_per_second": 7.684,
|
2850 |
+
"eval_steps_per_second": 1.921,
|
2851 |
+
"step": 812
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.33,
|
2855 |
+
"learning_rate": 2.0208e-07,
|
2856 |
+
"loss": 1.7618,
|
2857 |
+
"step": 816
|
2858 |
+
},
|
2859 |
+
{
|
2860 |
+
"epoch": 0.33,
|
2861 |
+
"eval_loss": 1.653469443321228,
|
2862 |
+
"eval_runtime": 0.5354,
|
2863 |
+
"eval_samples_per_second": 7.472,
|
2864 |
+
"eval_steps_per_second": 1.868,
|
2865 |
+
"step": 816
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.33,
|
2869 |
+
"learning_rate": 2.016e-07,
|
2870 |
+
"loss": 1.8207,
|
2871 |
+
"step": 820
|
2872 |
+
},
|
2873 |
+
{
|
2874 |
+
"epoch": 0.33,
|
2875 |
+
"eval_loss": 1.6502578258514404,
|
2876 |
+
"eval_runtime": 0.523,
|
2877 |
+
"eval_samples_per_second": 7.648,
|
2878 |
+
"eval_steps_per_second": 1.912,
|
2879 |
+
"step": 820
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.33,
|
2883 |
+
"learning_rate": 2.0112e-07,
|
2884 |
+
"loss": 1.7837,
|
2885 |
+
"step": 824
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 0.33,
|
2889 |
+
"eval_loss": 1.6467454433441162,
|
2890 |
+
"eval_runtime": 0.5297,
|
2891 |
+
"eval_samples_per_second": 7.552,
|
2892 |
+
"eval_steps_per_second": 1.888,
|
2893 |
+
"step": 824
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.33,
|
2897 |
+
"learning_rate": 2.0063999999999998e-07,
|
2898 |
+
"loss": 1.8066,
|
2899 |
+
"step": 828
|
2900 |
+
},
|
2901 |
+
{
|
2902 |
+
"epoch": 0.33,
|
2903 |
+
"eval_loss": 1.6439214944839478,
|
2904 |
+
"eval_runtime": 0.522,
|
2905 |
+
"eval_samples_per_second": 7.663,
|
2906 |
+
"eval_steps_per_second": 1.916,
|
2907 |
+
"step": 828
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.33,
|
2911 |
+
"learning_rate": 2.0016e-07,
|
2912 |
+
"loss": 1.7814,
|
2913 |
+
"step": 832
|
2914 |
+
},
|
2915 |
+
{
|
2916 |
+
"epoch": 0.33,
|
2917 |
+
"eval_loss": 1.6407381296157837,
|
2918 |
+
"eval_runtime": 0.5382,
|
2919 |
+
"eval_samples_per_second": 7.432,
|
2920 |
+
"eval_steps_per_second": 1.858,
|
2921 |
+
"step": 832
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.33,
|
2925 |
+
"learning_rate": 1.9967999999999997e-07,
|
2926 |
+
"loss": 1.7244,
|
2927 |
+
"step": 836
|
2928 |
+
},
|
2929 |
+
{
|
2930 |
+
"epoch": 0.33,
|
2931 |
+
"eval_loss": 1.6372514963150024,
|
2932 |
+
"eval_runtime": 0.7157,
|
2933 |
+
"eval_samples_per_second": 5.589,
|
2934 |
+
"eval_steps_per_second": 1.397,
|
2935 |
+
"step": 836
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.34,
|
2939 |
+
"learning_rate": 1.992e-07,
|
2940 |
+
"loss": 1.7195,
|
2941 |
+
"step": 840
|
2942 |
+
},
|
2943 |
+
{
|
2944 |
+
"epoch": 0.34,
|
2945 |
+
"eval_loss": 1.634232997894287,
|
2946 |
+
"eval_runtime": 0.7254,
|
2947 |
+
"eval_samples_per_second": 5.514,
|
2948 |
+
"eval_steps_per_second": 1.379,
|
2949 |
+
"step": 840
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.34,
|
2953 |
+
"learning_rate": 1.9872e-07,
|
2954 |
+
"loss": 1.7524,
|
2955 |
+
"step": 844
|
2956 |
+
},
|
2957 |
+
{
|
2958 |
+
"epoch": 0.34,
|
2959 |
+
"eval_loss": 1.6310441493988037,
|
2960 |
+
"eval_runtime": 0.7839,
|
2961 |
+
"eval_samples_per_second": 5.103,
|
2962 |
+
"eval_steps_per_second": 1.276,
|
2963 |
+
"step": 844
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.34,
|
2967 |
+
"learning_rate": 1.9824e-07,
|
2968 |
+
"loss": 1.7644,
|
2969 |
+
"step": 848
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 0.34,
|
2973 |
+
"eval_loss": 1.6279191970825195,
|
2974 |
+
"eval_runtime": 0.5253,
|
2975 |
+
"eval_samples_per_second": 7.615,
|
2976 |
+
"eval_steps_per_second": 1.904,
|
2977 |
+
"step": 848
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.34,
|
2981 |
+
"learning_rate": 1.9776e-07,
|
2982 |
+
"loss": 1.7171,
|
2983 |
+
"step": 852
|
2984 |
+
},
|
2985 |
+
{
|
2986 |
+
"epoch": 0.34,
|
2987 |
+
"eval_loss": 1.6244579553604126,
|
2988 |
+
"eval_runtime": 0.5359,
|
2989 |
+
"eval_samples_per_second": 7.464,
|
2990 |
+
"eval_steps_per_second": 1.866,
|
2991 |
+
"step": 852
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.34,
|
2995 |
+
"learning_rate": 1.9727999999999998e-07,
|
2996 |
+
"loss": 1.7418,
|
2997 |
+
"step": 856
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 0.34,
|
3001 |
+
"eval_loss": 1.6212078332901,
|
3002 |
+
"eval_runtime": 0.5379,
|
3003 |
+
"eval_samples_per_second": 7.436,
|
3004 |
+
"eval_steps_per_second": 1.859,
|
3005 |
+
"step": 856
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.34,
|
3009 |
+
"learning_rate": 1.968e-07,
|
3010 |
+
"loss": 1.7337,
|
3011 |
+
"step": 860
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 0.34,
|
3015 |
+
"eval_loss": 1.6180227994918823,
|
3016 |
+
"eval_runtime": 0.5259,
|
3017 |
+
"eval_samples_per_second": 7.606,
|
3018 |
+
"eval_steps_per_second": 1.902,
|
3019 |
+
"step": 860
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.35,
|
3023 |
+
"learning_rate": 1.9631999999999997e-07,
|
3024 |
+
"loss": 1.7441,
|
3025 |
+
"step": 864
|
3026 |
+
},
|
3027 |
+
{
|
3028 |
+
"epoch": 0.35,
|
3029 |
+
"eval_loss": 1.61477530002594,
|
3030 |
+
"eval_runtime": 0.5216,
|
3031 |
+
"eval_samples_per_second": 7.669,
|
3032 |
+
"eval_steps_per_second": 1.917,
|
3033 |
+
"step": 864
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.35,
|
3037 |
+
"learning_rate": 1.9584e-07,
|
3038 |
+
"loss": 1.694,
|
3039 |
+
"step": 868
|
3040 |
+
},
|
3041 |
+
{
|
3042 |
+
"epoch": 0.35,
|
3043 |
+
"eval_loss": 1.611538052558899,
|
3044 |
+
"eval_runtime": 0.6803,
|
3045 |
+
"eval_samples_per_second": 5.88,
|
3046 |
+
"eval_steps_per_second": 1.47,
|
3047 |
+
"step": 868
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.35,
|
3051 |
+
"learning_rate": 1.9536e-07,
|
3052 |
+
"loss": 1.7601,
|
3053 |
+
"step": 872
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 0.35,
|
3057 |
+
"eval_loss": 1.6083098649978638,
|
3058 |
+
"eval_runtime": 0.716,
|
3059 |
+
"eval_samples_per_second": 5.586,
|
3060 |
+
"eval_steps_per_second": 1.397,
|
3061 |
+
"step": 872
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.35,
|
3065 |
+
"learning_rate": 1.9487999999999998e-07,
|
3066 |
+
"loss": 1.7081,
|
3067 |
+
"step": 876
|
3068 |
+
},
|
3069 |
+
{
|
3070 |
+
"epoch": 0.35,
|
3071 |
+
"eval_loss": 1.6050214767456055,
|
3072 |
+
"eval_runtime": 0.7622,
|
3073 |
+
"eval_samples_per_second": 5.248,
|
3074 |
+
"eval_steps_per_second": 1.312,
|
3075 |
+
"step": 876
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.35,
|
3079 |
+
"learning_rate": 1.944e-07,
|
3080 |
+
"loss": 1.7101,
|
3081 |
+
"step": 880
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 0.35,
|
3085 |
+
"eval_loss": 1.6019953489303589,
|
3086 |
+
"eval_runtime": 0.7766,
|
3087 |
+
"eval_samples_per_second": 5.151,
|
3088 |
+
"eval_steps_per_second": 1.288,
|
3089 |
+
"step": 880
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.35,
|
3093 |
+
"learning_rate": 1.9391999999999998e-07,
|
3094 |
+
"loss": 1.7271,
|
3095 |
+
"step": 884
|
3096 |
+
},
|
3097 |
+
{
|
3098 |
+
"epoch": 0.35,
|
3099 |
+
"eval_loss": 1.5990221500396729,
|
3100 |
+
"eval_runtime": 0.5153,
|
3101 |
+
"eval_samples_per_second": 7.763,
|
3102 |
+
"eval_steps_per_second": 1.941,
|
3103 |
+
"step": 884
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.36,
|
3107 |
+
"learning_rate": 1.9344e-07,
|
3108 |
+
"loss": 1.7402,
|
3109 |
+
"step": 888
|
3110 |
+
},
|
3111 |
+
{
|
3112 |
+
"epoch": 0.36,
|
3113 |
+
"eval_loss": 1.5954092741012573,
|
3114 |
+
"eval_runtime": 0.5168,
|
3115 |
+
"eval_samples_per_second": 7.74,
|
3116 |
+
"eval_steps_per_second": 1.935,
|
3117 |
+
"step": 888
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.36,
|
3121 |
+
"learning_rate": 1.9296e-07,
|
3122 |
+
"loss": 1.7125,
|
3123 |
+
"step": 892
|
3124 |
+
},
|
3125 |
+
{
|
3126 |
+
"epoch": 0.36,
|
3127 |
+
"eval_loss": 1.5921534299850464,
|
3128 |
+
"eval_runtime": 0.5424,
|
3129 |
+
"eval_samples_per_second": 7.375,
|
3130 |
+
"eval_steps_per_second": 1.844,
|
3131 |
+
"step": 892
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.36,
|
3135 |
+
"learning_rate": 1.9248e-07,
|
3136 |
+
"loss": 1.6949,
|
3137 |
+
"step": 896
|
3138 |
+
},
|
3139 |
+
{
|
3140 |
+
"epoch": 0.36,
|
3141 |
+
"eval_loss": 1.5888370275497437,
|
3142 |
+
"eval_runtime": 0.5307,
|
3143 |
+
"eval_samples_per_second": 7.537,
|
3144 |
+
"eval_steps_per_second": 1.884,
|
3145 |
+
"step": 896
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.36,
|
3149 |
+
"learning_rate": 1.92e-07,
|
3150 |
+
"loss": 1.7145,
|
3151 |
+
"step": 900
|
3152 |
+
},
|
3153 |
+
{
|
3154 |
+
"epoch": 0.36,
|
3155 |
+
"eval_loss": 1.5858186483383179,
|
3156 |
+
"eval_runtime": 0.511,
|
3157 |
+
"eval_samples_per_second": 7.828,
|
3158 |
+
"eval_steps_per_second": 1.957,
|
3159 |
+
"step": 900
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.36,
|
3163 |
+
"learning_rate": 1.9151999999999998e-07,
|
3164 |
+
"loss": 1.6665,
|
3165 |
+
"step": 904
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 0.36,
|
3169 |
+
"eval_loss": 1.5824443101882935,
|
3170 |
+
"eval_runtime": 0.6907,
|
3171 |
+
"eval_samples_per_second": 5.791,
|
3172 |
+
"eval_steps_per_second": 1.448,
|
3173 |
+
"step": 904
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.36,
|
3177 |
+
"learning_rate": 1.9104e-07,
|
3178 |
+
"loss": 1.6929,
|
3179 |
+
"step": 908
|
3180 |
+
},
|
3181 |
+
{
|
3182 |
+
"epoch": 0.36,
|
3183 |
+
"eval_loss": 1.5796196460723877,
|
3184 |
+
"eval_runtime": 0.7487,
|
3185 |
+
"eval_samples_per_second": 5.342,
|
3186 |
+
"eval_steps_per_second": 1.336,
|
3187 |
+
"step": 908
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.36,
|
3191 |
+
"learning_rate": 1.9055999999999998e-07,
|
3192 |
+
"loss": 1.7068,
|
3193 |
+
"step": 912
|
3194 |
+
},
|
3195 |
+
{
|
3196 |
+
"epoch": 0.36,
|
3197 |
+
"eval_loss": 1.5765777826309204,
|
3198 |
+
"eval_runtime": 0.7477,
|
3199 |
+
"eval_samples_per_second": 5.35,
|
3200 |
+
"eval_steps_per_second": 1.337,
|
3201 |
+
"step": 912
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.37,
|
3205 |
+
"learning_rate": 1.9008000000000002e-07,
|
3206 |
+
"loss": 1.6877,
|
3207 |
+
"step": 916
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 0.37,
|
3211 |
+
"eval_loss": 1.57340669631958,
|
3212 |
+
"eval_runtime": 0.753,
|
3213 |
+
"eval_samples_per_second": 5.312,
|
3214 |
+
"eval_steps_per_second": 1.328,
|
3215 |
+
"step": 916
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.37,
|
3219 |
+
"learning_rate": 1.896e-07,
|
3220 |
+
"loss": 1.6718,
|
3221 |
+
"step": 920
|
3222 |
+
},
|
3223 |
+
{
|
3224 |
+
"epoch": 0.37,
|
3225 |
+
"eval_loss": 1.5706267356872559,
|
3226 |
+
"eval_runtime": 0.514,
|
3227 |
+
"eval_samples_per_second": 7.782,
|
3228 |
+
"eval_steps_per_second": 1.945,
|
3229 |
+
"step": 920
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.37,
|
3233 |
+
"learning_rate": 1.8912e-07,
|
3234 |
+
"loss": 1.6886,
|
3235 |
+
"step": 924
|
3236 |
+
},
|
3237 |
+
{
|
3238 |
+
"epoch": 0.37,
|
3239 |
+
"eval_loss": 1.5676339864730835,
|
3240 |
+
"eval_runtime": 0.5222,
|
3241 |
+
"eval_samples_per_second": 7.66,
|
3242 |
+
"eval_steps_per_second": 1.915,
|
3243 |
+
"step": 924
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.37,
|
3247 |
+
"learning_rate": 1.8864e-07,
|
3248 |
+
"loss": 1.7459,
|
3249 |
+
"step": 928
|
3250 |
+
},
|
3251 |
+
{
|
3252 |
+
"epoch": 0.37,
|
3253 |
+
"eval_loss": 1.5645827054977417,
|
3254 |
+
"eval_runtime": 0.5299,
|
3255 |
+
"eval_samples_per_second": 7.548,
|
3256 |
+
"eval_steps_per_second": 1.887,
|
3257 |
+
"step": 928
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.37,
|
3261 |
+
"learning_rate": 1.8815999999999999e-07,
|
3262 |
+
"loss": 1.6596,
|
3263 |
+
"step": 932
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 0.37,
|
3267 |
+
"eval_loss": 1.5616861581802368,
|
3268 |
+
"eval_runtime": 0.5303,
|
3269 |
+
"eval_samples_per_second": 7.543,
|
3270 |
+
"eval_steps_per_second": 1.886,
|
3271 |
+
"step": 932
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.37,
|
3275 |
+
"learning_rate": 1.8768e-07,
|
3276 |
+
"loss": 1.6689,
|
3277 |
+
"step": 936
|
3278 |
+
},
|
3279 |
+
{
|
3280 |
+
"epoch": 0.37,
|
3281 |
+
"eval_loss": 1.5588451623916626,
|
3282 |
+
"eval_runtime": 0.5236,
|
3283 |
+
"eval_samples_per_second": 7.639,
|
3284 |
+
"eval_steps_per_second": 1.91,
|
3285 |
+
"step": 936
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.38,
|
3289 |
+
"learning_rate": 1.8719999999999998e-07,
|
3290 |
+
"loss": 1.6744,
|
3291 |
+
"step": 940
|
3292 |
+
},
|
3293 |
+
{
|
3294 |
+
"epoch": 0.38,
|
3295 |
+
"eval_loss": 1.5560673475265503,
|
3296 |
+
"eval_runtime": 0.7233,
|
3297 |
+
"eval_samples_per_second": 5.53,
|
3298 |
+
"eval_steps_per_second": 1.383,
|
3299 |
+
"step": 940
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.38,
|
3303 |
+
"learning_rate": 1.8671999999999997e-07,
|
3304 |
+
"loss": 1.7009,
|
3305 |
+
"step": 944
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 0.38,
|
3309 |
+
"eval_loss": 1.5533243417739868,
|
3310 |
+
"eval_runtime": 0.6983,
|
3311 |
+
"eval_samples_per_second": 5.728,
|
3312 |
+
"eval_steps_per_second": 1.432,
|
3313 |
+
"step": 944
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.38,
|
3317 |
+
"learning_rate": 1.8624e-07,
|
3318 |
+
"loss": 1.6651,
|
3319 |
+
"step": 948
|
3320 |
+
},
|
3321 |
+
{
|
3322 |
+
"epoch": 0.38,
|
3323 |
+
"eval_loss": 1.55048668384552,
|
3324 |
+
"eval_runtime": 0.7511,
|
3325 |
+
"eval_samples_per_second": 5.325,
|
3326 |
+
"eval_steps_per_second": 1.331,
|
3327 |
+
"step": 948
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.38,
|
3331 |
+
"learning_rate": 1.8576e-07,
|
3332 |
+
"loss": 1.6821,
|
3333 |
+
"step": 952
|
3334 |
+
},
|
3335 |
+
{
|
3336 |
+
"epoch": 0.38,
|
3337 |
+
"eval_loss": 1.547943353652954,
|
3338 |
+
"eval_runtime": 0.532,
|
3339 |
+
"eval_samples_per_second": 7.519,
|
3340 |
+
"eval_steps_per_second": 1.88,
|
3341 |
+
"step": 952
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.38,
|
3345 |
+
"learning_rate": 1.8528e-07,
|
3346 |
+
"loss": 1.6453,
|
3347 |
+
"step": 956
|
3348 |
+
},
|
3349 |
+
{
|
3350 |
+
"epoch": 0.38,
|
3351 |
+
"eval_loss": 1.5453405380249023,
|
3352 |
+
"eval_runtime": 0.5463,
|
3353 |
+
"eval_samples_per_second": 7.322,
|
3354 |
+
"eval_steps_per_second": 1.831,
|
3355 |
+
"step": 956
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.38,
|
3359 |
+
"learning_rate": 1.848e-07,
|
3360 |
+
"loss": 1.6624,
|
3361 |
+
"step": 960
|
3362 |
+
},
|
3363 |
+
{
|
3364 |
+
"epoch": 0.38,
|
3365 |
+
"eval_loss": 1.542648196220398,
|
3366 |
+
"eval_runtime": 0.5288,
|
3367 |
+
"eval_samples_per_second": 7.564,
|
3368 |
+
"eval_steps_per_second": 1.891,
|
3369 |
+
"step": 960
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.39,
|
3373 |
+
"learning_rate": 1.8431999999999997e-07,
|
3374 |
+
"loss": 1.6453,
|
3375 |
+
"step": 964
|
3376 |
+
},
|
3377 |
+
{
|
3378 |
+
"epoch": 0.39,
|
3379 |
+
"eval_loss": 1.5402462482452393,
|
3380 |
+
"eval_runtime": 0.5242,
|
3381 |
+
"eval_samples_per_second": 7.63,
|
3382 |
+
"eval_steps_per_second": 1.908,
|
3383 |
+
"step": 964
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.39,
|
3387 |
+
"learning_rate": 1.8383999999999998e-07,
|
3388 |
+
"loss": 1.6451,
|
3389 |
+
"step": 968
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 0.39,
|
3393 |
+
"eval_loss": 1.5377165079116821,
|
3394 |
+
"eval_runtime": 0.5169,
|
3395 |
+
"eval_samples_per_second": 7.738,
|
3396 |
+
"eval_steps_per_second": 1.935,
|
3397 |
+
"step": 968
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.39,
|
3401 |
+
"learning_rate": 1.8335999999999997e-07,
|
3402 |
+
"loss": 1.6627,
|
3403 |
+
"step": 972
|
3404 |
+
},
|
3405 |
+
{
|
3406 |
+
"epoch": 0.39,
|
3407 |
+
"eval_loss": 1.5353412628173828,
|
3408 |
+
"eval_runtime": 0.6797,
|
3409 |
+
"eval_samples_per_second": 5.885,
|
3410 |
+
"eval_steps_per_second": 1.471,
|
3411 |
+
"step": 972
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.39,
|
3415 |
+
"learning_rate": 1.8288e-07,
|
3416 |
+
"loss": 1.6423,
|
3417 |
+
"step": 976
|
3418 |
+
},
|
3419 |
+
{
|
3420 |
+
"epoch": 0.39,
|
3421 |
+
"eval_loss": 1.5325669050216675,
|
3422 |
+
"eval_runtime": 0.7175,
|
3423 |
+
"eval_samples_per_second": 5.575,
|
3424 |
+
"eval_steps_per_second": 1.394,
|
3425 |
+
"step": 976
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.39,
|
3429 |
+
"learning_rate": 1.824e-07,
|
3430 |
+
"loss": 1.652,
|
3431 |
+
"step": 980
|
3432 |
+
},
|
3433 |
+
{
|
3434 |
+
"epoch": 0.39,
|
3435 |
+
"eval_loss": 1.530207872390747,
|
3436 |
+
"eval_runtime": 0.8099,
|
3437 |
+
"eval_samples_per_second": 4.939,
|
3438 |
+
"eval_steps_per_second": 1.235,
|
3439 |
+
"step": 980
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.39,
|
3443 |
+
"learning_rate": 1.8192e-07,
|
3444 |
+
"loss": 1.6414,
|
3445 |
+
"step": 984
|
3446 |
+
},
|
3447 |
+
{
|
3448 |
+
"epoch": 0.39,
|
3449 |
+
"eval_loss": 1.5278236865997314,
|
3450 |
+
"eval_runtime": 0.7814,
|
3451 |
+
"eval_samples_per_second": 5.119,
|
3452 |
+
"eval_steps_per_second": 1.28,
|
3453 |
+
"step": 984
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.4,
|
3457 |
+
"learning_rate": 1.8144e-07,
|
3458 |
+
"loss": 1.6107,
|
3459 |
+
"step": 988
|
3460 |
+
},
|
3461 |
+
{
|
3462 |
+
"epoch": 0.4,
|
3463 |
+
"eval_loss": 1.5253430604934692,
|
3464 |
+
"eval_runtime": 0.5386,
|
3465 |
+
"eval_samples_per_second": 7.427,
|
3466 |
+
"eval_steps_per_second": 1.857,
|
3467 |
+
"step": 988
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.4,
|
3471 |
+
"learning_rate": 1.8095999999999997e-07,
|
3472 |
+
"loss": 1.6599,
|
3473 |
+
"step": 992
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 0.4,
|
3477 |
+
"eval_loss": 1.5225120782852173,
|
3478 |
+
"eval_runtime": 0.5302,
|
3479 |
+
"eval_samples_per_second": 7.544,
|
3480 |
+
"eval_steps_per_second": 1.886,
|
3481 |
+
"step": 992
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 0.4,
|
3485 |
+
"learning_rate": 1.8048e-07,
|
3486 |
+
"loss": 1.6326,
|
3487 |
+
"step": 996
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 0.4,
|
3491 |
+
"eval_loss": 1.5201939344406128,
|
3492 |
+
"eval_runtime": 0.533,
|
3493 |
+
"eval_samples_per_second": 7.505,
|
3494 |
+
"eval_steps_per_second": 1.876,
|
3495 |
+
"step": 996
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 0.4,
|
3499 |
+
"learning_rate": 1.8e-07,
|
3500 |
+
"loss": 1.6324,
|
3501 |
+
"step": 1000
|
3502 |
+
},
|
3503 |
+
{
|
3504 |
+
"epoch": 0.4,
|
3505 |
+
"eval_loss": 1.5175316333770752,
|
3506 |
+
"eval_runtime": 0.5316,
|
3507 |
+
"eval_samples_per_second": 7.525,
|
3508 |
+
"eval_steps_per_second": 1.881,
|
3509 |
+
"step": 1000
|
3510 |
+
}
|
3511 |
+
],
|
3512 |
+
"logging_steps": 4,
|
3513 |
+
"max_steps": 2500,
|
3514 |
+
"num_input_tokens_seen": 0,
|
3515 |
+
"num_train_epochs": 1,
|
3516 |
+
"save_steps": 500,
|
3517 |
+
"total_flos": 1.2712088174592e+17,
|
3518 |
+
"trial_name": null,
|
3519 |
+
"trial_params": null
|
3520 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
|
3 |
+
size 4600
|
checkpoint-1500/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float16",
|
25 |
+
"transformers_version": "4.36.0.dev0",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
checkpoint-1500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.0.dev0"
|
7 |
+
}
|
checkpoint-1500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:525edbb8253d9e8751dfb98b40d5c1322d80e6053135712ccb5d607a42173c09
|
3 |
+
size 2200119664
|
checkpoint-1500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c01eabe688c4a4f846ec278e5becd199119686c5b53bd85246907a43788d32f8
|
3 |
+
size 2205161786
|
checkpoint-1500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86a1bb254b26437c4e13841cb41e250752fc24fe9a2a691897aa76d9627be2a4
|
3 |
+
size 14244
|
checkpoint-1500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39c9fde66434d6439df51d17de18b3427bf234718a67bcfa43aa9f08271727c1
|
3 |
+
size 1064
|
checkpoint-1500/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
|
3 |
+
size 4600
|
checkpoint-2000/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float16",
|
25 |
+
"transformers_version": "4.36.0.dev0",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
checkpoint-2000/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.0.dev0"
|
7 |
+
}
|
checkpoint-2000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c85bc3b1c807a46bf9fb357ee2581690f90862d3fabee7f79f55d4db0448d82f
|
3 |
+
size 2200119664
|
checkpoint-2000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9341b02c731e4b58ae1f0df6d333910fc1ac52e2cc801a1e486dd7b5a6188267
|
3 |
+
size 2205161786
|
checkpoint-2000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f2bfad145875466ac9154ad5b958d1d8736701a98c59c3c7e51562746e63b61
|
3 |
+
size 14244
|
checkpoint-2000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebe11db143b8cd8a681054d7aeeea2c6b1bc55604d67a16288e39ae1ae3a229d
|
3 |
+
size 1064
|
checkpoint-2000/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
|
3 |
+
size 4600
|
checkpoint-2500/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float16",
|
25 |
+
"transformers_version": "4.36.0.dev0",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
checkpoint-2500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.0.dev0"
|
7 |
+
}
|
checkpoint-2500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7b11a03b8f4bf479692be16f7c59df2b15196416c136498f07860d7a5ae1b27
|
3 |
+
size 2200119664
|
checkpoint-2500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:307863e6a7fd926c3dbc24b6529e1b1645d1d140a81a5bc15317d2f1d7a1ce4b
|
3 |
+
size 2205161786
|
checkpoint-2500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d7f4b456ed398bdbb5b35cde838e2c4bfedb459f6bc60d190d3a7cb9ce65dc4d
|
3 |
+
size 14244
|
checkpoint-2500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:52edd5aadc973460ef7cecd871f970665a1bfa199d887a28fb329fe3c33d211d
|
3 |
+
size 1064
|
checkpoint-2500/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
|
3 |
+
size 4600
|
checkpoint-500/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "jeff31415/TinyLlama-1.1B-1T-OpenOrca",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 5632,
|
14 |
+
"max_position_embeddings": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 22,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float16",
|
25 |
+
"transformers_version": "4.36.0.dev0",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32000
|
28 |
+
}
|
checkpoint-500/generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.0.dev0"
|
7 |
+
}
|
checkpoint-500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:94f823528ac3dcb786f82f9321d0ce743f58597cc968f70240b18820aad26da7
|
3 |
+
size 2200119664
|
checkpoint-500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e86b3b0776af39f9191bfd06ede55fa7de86ed005a5b234270c2cd3976e771b
|
3 |
+
size 2205161786
|
checkpoint-500/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10b0069dee0e4ffb5199dba1cec39acc974730f7326c3b8eb8211cf1a9be16fc
|
3 |
+
size 14244
|
checkpoint-500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4291caba66a1e6402b8dcd8538ab0a7895ca8ae239f011133b5ba449a8f05296
|
3 |
+
size 1064
|
checkpoint-500/trainer_state.json
ADDED
@@ -0,0 +1,1770 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.9646457433700562,
|
3 |
+
"best_model_checkpoint": "./results/checkpoint-500",
|
4 |
+
"epoch": 0.2,
|
5 |
+
"eval_steps": 4,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.9951999999999997e-07,
|
14 |
+
"loss": 2.6285,
|
15 |
+
"step": 4
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"eval_loss": 2.4697508811950684,
|
20 |
+
"eval_runtime": 0.485,
|
21 |
+
"eval_samples_per_second": 8.248,
|
22 |
+
"eval_steps_per_second": 2.062,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0,
|
27 |
+
"learning_rate": 2.9904e-07,
|
28 |
+
"loss": 2.6222,
|
29 |
+
"step": 8
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.0,
|
33 |
+
"eval_loss": 2.465975284576416,
|
34 |
+
"eval_runtime": 0.6323,
|
35 |
+
"eval_samples_per_second": 6.326,
|
36 |
+
"eval_steps_per_second": 1.582,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0,
|
41 |
+
"learning_rate": 2.9856e-07,
|
42 |
+
"loss": 2.6536,
|
43 |
+
"step": 12
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.0,
|
47 |
+
"eval_loss": 2.460374116897583,
|
48 |
+
"eval_runtime": 0.6478,
|
49 |
+
"eval_samples_per_second": 6.175,
|
50 |
+
"eval_steps_per_second": 1.544,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.01,
|
55 |
+
"learning_rate": 2.9808e-07,
|
56 |
+
"loss": 2.6785,
|
57 |
+
"step": 16
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.01,
|
61 |
+
"eval_loss": 2.4556970596313477,
|
62 |
+
"eval_runtime": 0.6653,
|
63 |
+
"eval_samples_per_second": 6.012,
|
64 |
+
"eval_steps_per_second": 1.503,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.01,
|
69 |
+
"learning_rate": 2.9759999999999996e-07,
|
70 |
+
"loss": 2.6085,
|
71 |
+
"step": 20
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 0.01,
|
75 |
+
"eval_loss": 2.4514715671539307,
|
76 |
+
"eval_runtime": 0.5241,
|
77 |
+
"eval_samples_per_second": 7.632,
|
78 |
+
"eval_steps_per_second": 1.908,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.01,
|
83 |
+
"learning_rate": 2.9711999999999995e-07,
|
84 |
+
"loss": 2.5907,
|
85 |
+
"step": 24
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 0.01,
|
89 |
+
"eval_loss": 2.4462974071502686,
|
90 |
+
"eval_runtime": 0.4689,
|
91 |
+
"eval_samples_per_second": 8.53,
|
92 |
+
"eval_steps_per_second": 2.133,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.01,
|
97 |
+
"learning_rate": 2.9664e-07,
|
98 |
+
"loss": 2.5942,
|
99 |
+
"step": 28
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.01,
|
103 |
+
"eval_loss": 2.4415194988250732,
|
104 |
+
"eval_runtime": 0.4829,
|
105 |
+
"eval_samples_per_second": 8.284,
|
106 |
+
"eval_steps_per_second": 2.071,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.01,
|
111 |
+
"learning_rate": 2.9615999999999997e-07,
|
112 |
+
"loss": 2.6101,
|
113 |
+
"step": 32
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.01,
|
117 |
+
"eval_loss": 2.437161922454834,
|
118 |
+
"eval_runtime": 0.4715,
|
119 |
+
"eval_samples_per_second": 8.483,
|
120 |
+
"eval_steps_per_second": 2.121,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.01,
|
125 |
+
"learning_rate": 2.9568e-07,
|
126 |
+
"loss": 2.5827,
|
127 |
+
"step": 36
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 0.01,
|
131 |
+
"eval_loss": 2.432689666748047,
|
132 |
+
"eval_runtime": 0.4938,
|
133 |
+
"eval_samples_per_second": 8.1,
|
134 |
+
"eval_steps_per_second": 2.025,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.02,
|
139 |
+
"learning_rate": 2.952e-07,
|
140 |
+
"loss": 2.5729,
|
141 |
+
"step": 40
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.02,
|
145 |
+
"eval_loss": 2.4281153678894043,
|
146 |
+
"eval_runtime": 0.5021,
|
147 |
+
"eval_samples_per_second": 7.966,
|
148 |
+
"eval_steps_per_second": 1.991,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.02,
|
153 |
+
"learning_rate": 2.9472e-07,
|
154 |
+
"loss": 2.5856,
|
155 |
+
"step": 44
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.02,
|
159 |
+
"eval_loss": 2.423053741455078,
|
160 |
+
"eval_runtime": 0.593,
|
161 |
+
"eval_samples_per_second": 6.746,
|
162 |
+
"eval_steps_per_second": 1.686,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.02,
|
167 |
+
"learning_rate": 2.9423999999999997e-07,
|
168 |
+
"loss": 2.589,
|
169 |
+
"step": 48
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.02,
|
173 |
+
"eval_loss": 2.418571949005127,
|
174 |
+
"eval_runtime": 0.6933,
|
175 |
+
"eval_samples_per_second": 5.77,
|
176 |
+
"eval_steps_per_second": 1.442,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.02,
|
181 |
+
"learning_rate": 2.9375999999999995e-07,
|
182 |
+
"loss": 2.6483,
|
183 |
+
"step": 52
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.02,
|
187 |
+
"eval_loss": 2.414531946182251,
|
188 |
+
"eval_runtime": 0.7167,
|
189 |
+
"eval_samples_per_second": 5.581,
|
190 |
+
"eval_steps_per_second": 1.395,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.02,
|
195 |
+
"learning_rate": 2.9328e-07,
|
196 |
+
"loss": 2.517,
|
197 |
+
"step": 56
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.02,
|
201 |
+
"eval_loss": 2.409538745880127,
|
202 |
+
"eval_runtime": 0.4826,
|
203 |
+
"eval_samples_per_second": 8.289,
|
204 |
+
"eval_steps_per_second": 2.072,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.02,
|
209 |
+
"learning_rate": 2.928e-07,
|
210 |
+
"loss": 2.5987,
|
211 |
+
"step": 60
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.02,
|
215 |
+
"eval_loss": 2.4050426483154297,
|
216 |
+
"eval_runtime": 0.4757,
|
217 |
+
"eval_samples_per_second": 8.409,
|
218 |
+
"eval_steps_per_second": 2.102,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.03,
|
223 |
+
"learning_rate": 2.9232e-07,
|
224 |
+
"loss": 2.5489,
|
225 |
+
"step": 64
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.03,
|
229 |
+
"eval_loss": 2.400360107421875,
|
230 |
+
"eval_runtime": 0.4945,
|
231 |
+
"eval_samples_per_second": 8.089,
|
232 |
+
"eval_steps_per_second": 2.022,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.03,
|
237 |
+
"learning_rate": 2.9184e-07,
|
238 |
+
"loss": 2.5063,
|
239 |
+
"step": 68
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.03,
|
243 |
+
"eval_loss": 2.396500587463379,
|
244 |
+
"eval_runtime": 0.5,
|
245 |
+
"eval_samples_per_second": 8.001,
|
246 |
+
"eval_steps_per_second": 2.0,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.03,
|
251 |
+
"learning_rate": 2.9136e-07,
|
252 |
+
"loss": 2.5867,
|
253 |
+
"step": 72
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.03,
|
257 |
+
"eval_loss": 2.3916146755218506,
|
258 |
+
"eval_runtime": 0.4602,
|
259 |
+
"eval_samples_per_second": 8.693,
|
260 |
+
"eval_steps_per_second": 2.173,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.03,
|
265 |
+
"learning_rate": 2.9087999999999997e-07,
|
266 |
+
"loss": 2.544,
|
267 |
+
"step": 76
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.03,
|
271 |
+
"eval_loss": 2.3873047828674316,
|
272 |
+
"eval_runtime": 0.4731,
|
273 |
+
"eval_samples_per_second": 8.456,
|
274 |
+
"eval_steps_per_second": 2.114,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.03,
|
279 |
+
"learning_rate": 2.9039999999999995e-07,
|
280 |
+
"loss": 2.5596,
|
281 |
+
"step": 80
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.03,
|
285 |
+
"eval_loss": 2.382803440093994,
|
286 |
+
"eval_runtime": 0.6092,
|
287 |
+
"eval_samples_per_second": 6.566,
|
288 |
+
"eval_steps_per_second": 1.642,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.03,
|
293 |
+
"learning_rate": 2.8992e-07,
|
294 |
+
"loss": 2.5744,
|
295 |
+
"step": 84
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.03,
|
299 |
+
"eval_loss": 2.3786380290985107,
|
300 |
+
"eval_runtime": 0.7212,
|
301 |
+
"eval_samples_per_second": 5.546,
|
302 |
+
"eval_steps_per_second": 1.387,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.04,
|
307 |
+
"learning_rate": 2.8944e-07,
|
308 |
+
"loss": 2.5588,
|
309 |
+
"step": 88
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.04,
|
313 |
+
"eval_loss": 2.374176502227783,
|
314 |
+
"eval_runtime": 0.6826,
|
315 |
+
"eval_samples_per_second": 5.86,
|
316 |
+
"eval_steps_per_second": 1.465,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.04,
|
321 |
+
"learning_rate": 2.8895999999999996e-07,
|
322 |
+
"loss": 2.5579,
|
323 |
+
"step": 92
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.04,
|
327 |
+
"eval_loss": 2.3702104091644287,
|
328 |
+
"eval_runtime": 0.4896,
|
329 |
+
"eval_samples_per_second": 8.169,
|
330 |
+
"eval_steps_per_second": 2.042,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.04,
|
335 |
+
"learning_rate": 2.8848e-07,
|
336 |
+
"loss": 2.5245,
|
337 |
+
"step": 96
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.04,
|
341 |
+
"eval_loss": 2.3660218715667725,
|
342 |
+
"eval_runtime": 0.4764,
|
343 |
+
"eval_samples_per_second": 8.397,
|
344 |
+
"eval_steps_per_second": 2.099,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.04,
|
349 |
+
"learning_rate": 2.88e-07,
|
350 |
+
"loss": 2.5132,
|
351 |
+
"step": 100
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.04,
|
355 |
+
"eval_loss": 2.36110520362854,
|
356 |
+
"eval_runtime": 0.4799,
|
357 |
+
"eval_samples_per_second": 8.335,
|
358 |
+
"eval_steps_per_second": 2.084,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.04,
|
363 |
+
"learning_rate": 2.8751999999999997e-07,
|
364 |
+
"loss": 2.5037,
|
365 |
+
"step": 104
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.04,
|
369 |
+
"eval_loss": 2.3570125102996826,
|
370 |
+
"eval_runtime": 0.4722,
|
371 |
+
"eval_samples_per_second": 8.47,
|
372 |
+
"eval_steps_per_second": 2.118,
|
373 |
+
"step": 104
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.04,
|
377 |
+
"learning_rate": 2.8704e-07,
|
378 |
+
"loss": 2.4727,
|
379 |
+
"step": 108
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.04,
|
383 |
+
"eval_loss": 2.3530666828155518,
|
384 |
+
"eval_runtime": 0.467,
|
385 |
+
"eval_samples_per_second": 8.565,
|
386 |
+
"eval_steps_per_second": 2.141,
|
387 |
+
"step": 108
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.04,
|
391 |
+
"learning_rate": 2.8656e-07,
|
392 |
+
"loss": 2.4709,
|
393 |
+
"step": 112
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.04,
|
397 |
+
"eval_loss": 2.348759412765503,
|
398 |
+
"eval_runtime": 0.501,
|
399 |
+
"eval_samples_per_second": 7.984,
|
400 |
+
"eval_steps_per_second": 1.996,
|
401 |
+
"step": 112
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.05,
|
405 |
+
"learning_rate": 2.8608e-07,
|
406 |
+
"loss": 2.4711,
|
407 |
+
"step": 116
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.05,
|
411 |
+
"eval_loss": 2.344454050064087,
|
412 |
+
"eval_runtime": 0.6607,
|
413 |
+
"eval_samples_per_second": 6.054,
|
414 |
+
"eval_steps_per_second": 1.513,
|
415 |
+
"step": 116
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.05,
|
419 |
+
"learning_rate": 2.8559999999999996e-07,
|
420 |
+
"loss": 2.5445,
|
421 |
+
"step": 120
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.05,
|
425 |
+
"eval_loss": 2.3402156829833984,
|
426 |
+
"eval_runtime": 0.704,
|
427 |
+
"eval_samples_per_second": 5.682,
|
428 |
+
"eval_steps_per_second": 1.42,
|
429 |
+
"step": 120
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.05,
|
433 |
+
"learning_rate": 2.8512e-07,
|
434 |
+
"loss": 2.4994,
|
435 |
+
"step": 124
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.05,
|
439 |
+
"eval_loss": 2.3362019062042236,
|
440 |
+
"eval_runtime": 0.6849,
|
441 |
+
"eval_samples_per_second": 5.84,
|
442 |
+
"eval_steps_per_second": 1.46,
|
443 |
+
"step": 124
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.05,
|
447 |
+
"learning_rate": 2.8464e-07,
|
448 |
+
"loss": 2.5036,
|
449 |
+
"step": 128
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.05,
|
453 |
+
"eval_loss": 2.3319339752197266,
|
454 |
+
"eval_runtime": 0.4864,
|
455 |
+
"eval_samples_per_second": 8.223,
|
456 |
+
"eval_steps_per_second": 2.056,
|
457 |
+
"step": 128
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.05,
|
461 |
+
"learning_rate": 2.8416e-07,
|
462 |
+
"loss": 2.5525,
|
463 |
+
"step": 132
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 0.05,
|
467 |
+
"eval_loss": 2.3276522159576416,
|
468 |
+
"eval_runtime": 0.4783,
|
469 |
+
"eval_samples_per_second": 8.364,
|
470 |
+
"eval_steps_per_second": 2.091,
|
471 |
+
"step": 132
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.05,
|
475 |
+
"learning_rate": 2.8368e-07,
|
476 |
+
"loss": 2.5245,
|
477 |
+
"step": 136
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.05,
|
481 |
+
"eval_loss": 2.3241090774536133,
|
482 |
+
"eval_runtime": 0.4805,
|
483 |
+
"eval_samples_per_second": 8.324,
|
484 |
+
"eval_steps_per_second": 2.081,
|
485 |
+
"step": 136
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.06,
|
489 |
+
"learning_rate": 2.832e-07,
|
490 |
+
"loss": 2.4946,
|
491 |
+
"step": 140
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.06,
|
495 |
+
"eval_loss": 2.3198165893554688,
|
496 |
+
"eval_runtime": 0.473,
|
497 |
+
"eval_samples_per_second": 8.457,
|
498 |
+
"eval_steps_per_second": 2.114,
|
499 |
+
"step": 140
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.06,
|
503 |
+
"learning_rate": 2.8272e-07,
|
504 |
+
"loss": 2.5142,
|
505 |
+
"step": 144
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.06,
|
509 |
+
"eval_loss": 2.3152613639831543,
|
510 |
+
"eval_runtime": 0.4858,
|
511 |
+
"eval_samples_per_second": 8.234,
|
512 |
+
"eval_steps_per_second": 2.058,
|
513 |
+
"step": 144
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.06,
|
517 |
+
"learning_rate": 2.8223999999999997e-07,
|
518 |
+
"loss": 2.4639,
|
519 |
+
"step": 148
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.06,
|
523 |
+
"eval_loss": 2.3112645149230957,
|
524 |
+
"eval_runtime": 0.488,
|
525 |
+
"eval_samples_per_second": 8.196,
|
526 |
+
"eval_steps_per_second": 2.049,
|
527 |
+
"step": 148
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.06,
|
531 |
+
"learning_rate": 2.8176e-07,
|
532 |
+
"loss": 2.4796,
|
533 |
+
"step": 152
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.06,
|
537 |
+
"eval_loss": 2.307020902633667,
|
538 |
+
"eval_runtime": 0.6163,
|
539 |
+
"eval_samples_per_second": 6.49,
|
540 |
+
"eval_steps_per_second": 1.623,
|
541 |
+
"step": 152
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.06,
|
545 |
+
"learning_rate": 2.8128e-07,
|
546 |
+
"loss": 2.4529,
|
547 |
+
"step": 156
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.06,
|
551 |
+
"eval_loss": 2.303062915802002,
|
552 |
+
"eval_runtime": 0.6764,
|
553 |
+
"eval_samples_per_second": 5.913,
|
554 |
+
"eval_steps_per_second": 1.478,
|
555 |
+
"step": 156
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.06,
|
559 |
+
"learning_rate": 2.808e-07,
|
560 |
+
"loss": 2.4823,
|
561 |
+
"step": 160
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.06,
|
565 |
+
"eval_loss": 2.2993311882019043,
|
566 |
+
"eval_runtime": 0.6854,
|
567 |
+
"eval_samples_per_second": 5.836,
|
568 |
+
"eval_steps_per_second": 1.459,
|
569 |
+
"step": 160
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.07,
|
573 |
+
"learning_rate": 2.8032e-07,
|
574 |
+
"loss": 2.4439,
|
575 |
+
"step": 164
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.07,
|
579 |
+
"eval_loss": 2.2947850227355957,
|
580 |
+
"eval_runtime": 0.4745,
|
581 |
+
"eval_samples_per_second": 8.429,
|
582 |
+
"eval_steps_per_second": 2.107,
|
583 |
+
"step": 164
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.07,
|
587 |
+
"learning_rate": 2.7984e-07,
|
588 |
+
"loss": 2.4652,
|
589 |
+
"step": 168
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 0.07,
|
593 |
+
"eval_loss": 2.2908992767333984,
|
594 |
+
"eval_runtime": 0.4759,
|
595 |
+
"eval_samples_per_second": 8.406,
|
596 |
+
"eval_steps_per_second": 2.101,
|
597 |
+
"step": 168
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.07,
|
601 |
+
"learning_rate": 2.7936e-07,
|
602 |
+
"loss": 2.4574,
|
603 |
+
"step": 172
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.07,
|
607 |
+
"eval_loss": 2.2867026329040527,
|
608 |
+
"eval_runtime": 0.4973,
|
609 |
+
"eval_samples_per_second": 8.043,
|
610 |
+
"eval_steps_per_second": 2.011,
|
611 |
+
"step": 172
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.07,
|
615 |
+
"learning_rate": 2.7887999999999997e-07,
|
616 |
+
"loss": 2.4557,
|
617 |
+
"step": 176
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.07,
|
621 |
+
"eval_loss": 2.283027172088623,
|
622 |
+
"eval_runtime": 0.4719,
|
623 |
+
"eval_samples_per_second": 8.477,
|
624 |
+
"eval_steps_per_second": 2.119,
|
625 |
+
"step": 176
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.07,
|
629 |
+
"learning_rate": 2.784e-07,
|
630 |
+
"loss": 2.4462,
|
631 |
+
"step": 180
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.07,
|
635 |
+
"eval_loss": 2.2787420749664307,
|
636 |
+
"eval_runtime": 0.472,
|
637 |
+
"eval_samples_per_second": 8.474,
|
638 |
+
"eval_steps_per_second": 2.119,
|
639 |
+
"step": 180
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.07,
|
643 |
+
"learning_rate": 2.7792e-07,
|
644 |
+
"loss": 2.3962,
|
645 |
+
"step": 184
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.07,
|
649 |
+
"eval_loss": 2.2745461463928223,
|
650 |
+
"eval_runtime": 0.6328,
|
651 |
+
"eval_samples_per_second": 6.322,
|
652 |
+
"eval_steps_per_second": 1.58,
|
653 |
+
"step": 184
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.08,
|
657 |
+
"learning_rate": 2.7744e-07,
|
658 |
+
"loss": 2.3666,
|
659 |
+
"step": 188
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.08,
|
663 |
+
"eval_loss": 2.2705912590026855,
|
664 |
+
"eval_runtime": 0.6375,
|
665 |
+
"eval_samples_per_second": 6.274,
|
666 |
+
"eval_steps_per_second": 1.569,
|
667 |
+
"step": 188
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.08,
|
671 |
+
"learning_rate": 2.7696e-07,
|
672 |
+
"loss": 2.5024,
|
673 |
+
"step": 192
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.08,
|
677 |
+
"eval_loss": 2.266995906829834,
|
678 |
+
"eval_runtime": 0.6984,
|
679 |
+
"eval_samples_per_second": 5.727,
|
680 |
+
"eval_steps_per_second": 1.432,
|
681 |
+
"step": 192
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.08,
|
685 |
+
"learning_rate": 2.7648e-07,
|
686 |
+
"loss": 2.4419,
|
687 |
+
"step": 196
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.08,
|
691 |
+
"eval_loss": 2.2626519203186035,
|
692 |
+
"eval_runtime": 0.7334,
|
693 |
+
"eval_samples_per_second": 5.454,
|
694 |
+
"eval_steps_per_second": 1.363,
|
695 |
+
"step": 196
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.08,
|
699 |
+
"learning_rate": 2.76e-07,
|
700 |
+
"loss": 2.4246,
|
701 |
+
"step": 200
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 0.08,
|
705 |
+
"eval_loss": 2.2583603858947754,
|
706 |
+
"eval_runtime": 0.48,
|
707 |
+
"eval_samples_per_second": 8.333,
|
708 |
+
"eval_steps_per_second": 2.083,
|
709 |
+
"step": 200
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.08,
|
713 |
+
"learning_rate": 2.7551999999999997e-07,
|
714 |
+
"loss": 2.3853,
|
715 |
+
"step": 204
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 0.08,
|
719 |
+
"eval_loss": 2.2551512718200684,
|
720 |
+
"eval_runtime": 0.4939,
|
721 |
+
"eval_samples_per_second": 8.098,
|
722 |
+
"eval_steps_per_second": 2.025,
|
723 |
+
"step": 204
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.08,
|
727 |
+
"learning_rate": 2.7503999999999995e-07,
|
728 |
+
"loss": 2.4032,
|
729 |
+
"step": 208
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.08,
|
733 |
+
"eval_loss": 2.251105785369873,
|
734 |
+
"eval_runtime": 0.46,
|
735 |
+
"eval_samples_per_second": 8.695,
|
736 |
+
"eval_steps_per_second": 2.174,
|
737 |
+
"step": 208
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.08,
|
741 |
+
"learning_rate": 2.7456e-07,
|
742 |
+
"loss": 2.4444,
|
743 |
+
"step": 212
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.08,
|
747 |
+
"eval_loss": 2.247025489807129,
|
748 |
+
"eval_runtime": 0.4948,
|
749 |
+
"eval_samples_per_second": 8.084,
|
750 |
+
"eval_steps_per_second": 2.021,
|
751 |
+
"step": 212
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.09,
|
755 |
+
"learning_rate": 2.7408e-07,
|
756 |
+
"loss": 2.2932,
|
757 |
+
"step": 216
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.09,
|
761 |
+
"eval_loss": 2.242764472961426,
|
762 |
+
"eval_runtime": 0.4897,
|
763 |
+
"eval_samples_per_second": 8.168,
|
764 |
+
"eval_steps_per_second": 2.042,
|
765 |
+
"step": 216
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.09,
|
769 |
+
"learning_rate": 2.736e-07,
|
770 |
+
"loss": 2.3929,
|
771 |
+
"step": 220
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.09,
|
775 |
+
"eval_loss": 2.2391483783721924,
|
776 |
+
"eval_runtime": 0.6128,
|
777 |
+
"eval_samples_per_second": 6.528,
|
778 |
+
"eval_steps_per_second": 1.632,
|
779 |
+
"step": 220
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.09,
|
783 |
+
"learning_rate": 2.7312e-07,
|
784 |
+
"loss": 2.4112,
|
785 |
+
"step": 224
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.09,
|
789 |
+
"eval_loss": 2.234977960586548,
|
790 |
+
"eval_runtime": 0.648,
|
791 |
+
"eval_samples_per_second": 6.172,
|
792 |
+
"eval_steps_per_second": 1.543,
|
793 |
+
"step": 224
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.09,
|
797 |
+
"learning_rate": 2.7264e-07,
|
798 |
+
"loss": 2.4191,
|
799 |
+
"step": 228
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 0.09,
|
803 |
+
"eval_loss": 2.231099843978882,
|
804 |
+
"eval_runtime": 0.6862,
|
805 |
+
"eval_samples_per_second": 5.829,
|
806 |
+
"eval_steps_per_second": 1.457,
|
807 |
+
"step": 228
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.09,
|
811 |
+
"learning_rate": 2.7215999999999997e-07,
|
812 |
+
"loss": 2.4408,
|
813 |
+
"step": 232
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.09,
|
817 |
+
"eval_loss": 2.2272462844848633,
|
818 |
+
"eval_runtime": 0.7076,
|
819 |
+
"eval_samples_per_second": 5.653,
|
820 |
+
"eval_steps_per_second": 1.413,
|
821 |
+
"step": 232
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.09,
|
825 |
+
"learning_rate": 2.7167999999999996e-07,
|
826 |
+
"loss": 2.3884,
|
827 |
+
"step": 236
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.09,
|
831 |
+
"eval_loss": 2.223376750946045,
|
832 |
+
"eval_runtime": 0.5169,
|
833 |
+
"eval_samples_per_second": 7.738,
|
834 |
+
"eval_steps_per_second": 1.935,
|
835 |
+
"step": 236
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.1,
|
839 |
+
"learning_rate": 2.712e-07,
|
840 |
+
"loss": 2.3689,
|
841 |
+
"step": 240
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.1,
|
845 |
+
"eval_loss": 2.2195653915405273,
|
846 |
+
"eval_runtime": 0.4793,
|
847 |
+
"eval_samples_per_second": 8.346,
|
848 |
+
"eval_steps_per_second": 2.086,
|
849 |
+
"step": 240
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.1,
|
853 |
+
"learning_rate": 2.7072e-07,
|
854 |
+
"loss": 2.3689,
|
855 |
+
"step": 244
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.1,
|
859 |
+
"eval_loss": 2.2153775691986084,
|
860 |
+
"eval_runtime": 0.4771,
|
861 |
+
"eval_samples_per_second": 8.384,
|
862 |
+
"eval_steps_per_second": 2.096,
|
863 |
+
"step": 244
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.1,
|
867 |
+
"learning_rate": 2.7024e-07,
|
868 |
+
"loss": 2.3249,
|
869 |
+
"step": 248
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.1,
|
873 |
+
"eval_loss": 2.211355209350586,
|
874 |
+
"eval_runtime": 0.4778,
|
875 |
+
"eval_samples_per_second": 8.372,
|
876 |
+
"eval_steps_per_second": 2.093,
|
877 |
+
"step": 248
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.1,
|
881 |
+
"learning_rate": 2.6976e-07,
|
882 |
+
"loss": 2.4286,
|
883 |
+
"step": 252
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.1,
|
887 |
+
"eval_loss": 2.207773208618164,
|
888 |
+
"eval_runtime": 0.4873,
|
889 |
+
"eval_samples_per_second": 8.209,
|
890 |
+
"eval_steps_per_second": 2.052,
|
891 |
+
"step": 252
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.1,
|
895 |
+
"learning_rate": 2.6928e-07,
|
896 |
+
"loss": 2.3497,
|
897 |
+
"step": 256
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.1,
|
901 |
+
"eval_loss": 2.203867197036743,
|
902 |
+
"eval_runtime": 0.6281,
|
903 |
+
"eval_samples_per_second": 6.368,
|
904 |
+
"eval_steps_per_second": 1.592,
|
905 |
+
"step": 256
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.1,
|
909 |
+
"learning_rate": 2.6879999999999997e-07,
|
910 |
+
"loss": 2.284,
|
911 |
+
"step": 260
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.1,
|
915 |
+
"eval_loss": 2.199937582015991,
|
916 |
+
"eval_runtime": 0.6885,
|
917 |
+
"eval_samples_per_second": 5.81,
|
918 |
+
"eval_steps_per_second": 1.452,
|
919 |
+
"step": 260
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.11,
|
923 |
+
"learning_rate": 2.6831999999999996e-07,
|
924 |
+
"loss": 2.3333,
|
925 |
+
"step": 264
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.11,
|
929 |
+
"eval_loss": 2.1958465576171875,
|
930 |
+
"eval_runtime": 0.6799,
|
931 |
+
"eval_samples_per_second": 5.883,
|
932 |
+
"eval_steps_per_second": 1.471,
|
933 |
+
"step": 264
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.11,
|
937 |
+
"learning_rate": 2.6784e-07,
|
938 |
+
"loss": 2.3305,
|
939 |
+
"step": 268
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.11,
|
943 |
+
"eval_loss": 2.192072868347168,
|
944 |
+
"eval_runtime": 0.7165,
|
945 |
+
"eval_samples_per_second": 5.583,
|
946 |
+
"eval_steps_per_second": 1.396,
|
947 |
+
"step": 268
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.11,
|
951 |
+
"learning_rate": 2.6736e-07,
|
952 |
+
"loss": 2.3465,
|
953 |
+
"step": 272
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.11,
|
957 |
+
"eval_loss": 2.1882476806640625,
|
958 |
+
"eval_runtime": 0.485,
|
959 |
+
"eval_samples_per_second": 8.247,
|
960 |
+
"eval_steps_per_second": 2.062,
|
961 |
+
"step": 272
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.11,
|
965 |
+
"learning_rate": 2.6687999999999997e-07,
|
966 |
+
"loss": 2.3274,
|
967 |
+
"step": 276
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 0.11,
|
971 |
+
"eval_loss": 2.1841320991516113,
|
972 |
+
"eval_runtime": 0.4767,
|
973 |
+
"eval_samples_per_second": 8.391,
|
974 |
+
"eval_steps_per_second": 2.098,
|
975 |
+
"step": 276
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.11,
|
979 |
+
"learning_rate": 2.664e-07,
|
980 |
+
"loss": 2.3641,
|
981 |
+
"step": 280
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.11,
|
985 |
+
"eval_loss": 2.1803271770477295,
|
986 |
+
"eval_runtime": 0.5146,
|
987 |
+
"eval_samples_per_second": 7.774,
|
988 |
+
"eval_steps_per_second": 1.943,
|
989 |
+
"step": 280
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.11,
|
993 |
+
"learning_rate": 2.6592e-07,
|
994 |
+
"loss": 2.3089,
|
995 |
+
"step": 284
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.11,
|
999 |
+
"eval_loss": 2.176274538040161,
|
1000 |
+
"eval_runtime": 0.488,
|
1001 |
+
"eval_samples_per_second": 8.196,
|
1002 |
+
"eval_steps_per_second": 2.049,
|
1003 |
+
"step": 284
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.12,
|
1007 |
+
"learning_rate": 2.6543999999999997e-07,
|
1008 |
+
"loss": 2.2645,
|
1009 |
+
"step": 288
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.12,
|
1013 |
+
"eval_loss": 2.1720588207244873,
|
1014 |
+
"eval_runtime": 0.4973,
|
1015 |
+
"eval_samples_per_second": 8.043,
|
1016 |
+
"eval_steps_per_second": 2.011,
|
1017 |
+
"step": 288
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.12,
|
1021 |
+
"learning_rate": 2.6495999999999996e-07,
|
1022 |
+
"loss": 2.3439,
|
1023 |
+
"step": 292
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.12,
|
1027 |
+
"eval_loss": 2.1687240600585938,
|
1028 |
+
"eval_runtime": 0.6283,
|
1029 |
+
"eval_samples_per_second": 6.366,
|
1030 |
+
"eval_steps_per_second": 1.592,
|
1031 |
+
"step": 292
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.12,
|
1035 |
+
"learning_rate": 2.6448e-07,
|
1036 |
+
"loss": 2.3285,
|
1037 |
+
"step": 296
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.12,
|
1041 |
+
"eval_loss": 2.1649253368377686,
|
1042 |
+
"eval_runtime": 0.6996,
|
1043 |
+
"eval_samples_per_second": 5.718,
|
1044 |
+
"eval_steps_per_second": 1.429,
|
1045 |
+
"step": 296
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.12,
|
1049 |
+
"learning_rate": 2.64e-07,
|
1050 |
+
"loss": 2.3126,
|
1051 |
+
"step": 300
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.12,
|
1055 |
+
"eval_loss": 2.160398483276367,
|
1056 |
+
"eval_runtime": 0.6904,
|
1057 |
+
"eval_samples_per_second": 5.794,
|
1058 |
+
"eval_steps_per_second": 1.448,
|
1059 |
+
"step": 300
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.12,
|
1063 |
+
"learning_rate": 2.6351999999999997e-07,
|
1064 |
+
"loss": 2.3356,
|
1065 |
+
"step": 304
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.12,
|
1069 |
+
"eval_loss": 2.1570284366607666,
|
1070 |
+
"eval_runtime": 0.4953,
|
1071 |
+
"eval_samples_per_second": 8.076,
|
1072 |
+
"eval_steps_per_second": 2.019,
|
1073 |
+
"step": 304
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.12,
|
1077 |
+
"learning_rate": 2.6304e-07,
|
1078 |
+
"loss": 2.3396,
|
1079 |
+
"step": 308
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.12,
|
1083 |
+
"eval_loss": 2.1527013778686523,
|
1084 |
+
"eval_runtime": 0.4977,
|
1085 |
+
"eval_samples_per_second": 8.037,
|
1086 |
+
"eval_steps_per_second": 2.009,
|
1087 |
+
"step": 308
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.12,
|
1091 |
+
"learning_rate": 2.6256e-07,
|
1092 |
+
"loss": 2.2972,
|
1093 |
+
"step": 312
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.12,
|
1097 |
+
"eval_loss": 2.148724317550659,
|
1098 |
+
"eval_runtime": 0.4939,
|
1099 |
+
"eval_samples_per_second": 8.099,
|
1100 |
+
"eval_steps_per_second": 2.025,
|
1101 |
+
"step": 312
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.13,
|
1105 |
+
"learning_rate": 2.6208e-07,
|
1106 |
+
"loss": 2.3321,
|
1107 |
+
"step": 316
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.13,
|
1111 |
+
"eval_loss": 2.1449663639068604,
|
1112 |
+
"eval_runtime": 0.4784,
|
1113 |
+
"eval_samples_per_second": 8.362,
|
1114 |
+
"eval_steps_per_second": 2.09,
|
1115 |
+
"step": 316
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.13,
|
1119 |
+
"learning_rate": 2.616e-07,
|
1120 |
+
"loss": 2.3348,
|
1121 |
+
"step": 320
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.13,
|
1125 |
+
"eval_loss": 2.1414906978607178,
|
1126 |
+
"eval_runtime": 0.4949,
|
1127 |
+
"eval_samples_per_second": 8.082,
|
1128 |
+
"eval_steps_per_second": 2.021,
|
1129 |
+
"step": 320
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.13,
|
1133 |
+
"learning_rate": 2.6112e-07,
|
1134 |
+
"loss": 2.2728,
|
1135 |
+
"step": 324
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 0.13,
|
1139 |
+
"eval_loss": 2.1374001502990723,
|
1140 |
+
"eval_runtime": 0.6321,
|
1141 |
+
"eval_samples_per_second": 6.328,
|
1142 |
+
"eval_steps_per_second": 1.582,
|
1143 |
+
"step": 324
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.13,
|
1147 |
+
"learning_rate": 2.6064e-07,
|
1148 |
+
"loss": 2.287,
|
1149 |
+
"step": 328
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.13,
|
1153 |
+
"eval_loss": 2.1333529949188232,
|
1154 |
+
"eval_runtime": 0.6547,
|
1155 |
+
"eval_samples_per_second": 6.109,
|
1156 |
+
"eval_steps_per_second": 1.527,
|
1157 |
+
"step": 328
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.13,
|
1161 |
+
"learning_rate": 2.6015999999999997e-07,
|
1162 |
+
"loss": 2.2474,
|
1163 |
+
"step": 332
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 0.13,
|
1167 |
+
"eval_loss": 2.1297547817230225,
|
1168 |
+
"eval_runtime": 0.7093,
|
1169 |
+
"eval_samples_per_second": 5.639,
|
1170 |
+
"eval_steps_per_second": 1.41,
|
1171 |
+
"step": 332
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.13,
|
1175 |
+
"learning_rate": 2.5968e-07,
|
1176 |
+
"loss": 2.3214,
|
1177 |
+
"step": 336
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 0.13,
|
1181 |
+
"eval_loss": 2.126392364501953,
|
1182 |
+
"eval_runtime": 0.6909,
|
1183 |
+
"eval_samples_per_second": 5.789,
|
1184 |
+
"eval_steps_per_second": 1.447,
|
1185 |
+
"step": 336
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.14,
|
1189 |
+
"learning_rate": 2.592e-07,
|
1190 |
+
"loss": 2.2725,
|
1191 |
+
"step": 340
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.14,
|
1195 |
+
"eval_loss": 2.122309923171997,
|
1196 |
+
"eval_runtime": 0.4823,
|
1197 |
+
"eval_samples_per_second": 8.293,
|
1198 |
+
"eval_steps_per_second": 2.073,
|
1199 |
+
"step": 340
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.14,
|
1203 |
+
"learning_rate": 2.5872000000000003e-07,
|
1204 |
+
"loss": 2.3114,
|
1205 |
+
"step": 344
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 0.14,
|
1209 |
+
"eval_loss": 2.118303060531616,
|
1210 |
+
"eval_runtime": 0.4954,
|
1211 |
+
"eval_samples_per_second": 8.075,
|
1212 |
+
"eval_steps_per_second": 2.019,
|
1213 |
+
"step": 344
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.14,
|
1217 |
+
"learning_rate": 2.5824e-07,
|
1218 |
+
"loss": 2.2333,
|
1219 |
+
"step": 348
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 0.14,
|
1223 |
+
"eval_loss": 2.114621162414551,
|
1224 |
+
"eval_runtime": 0.4856,
|
1225 |
+
"eval_samples_per_second": 8.238,
|
1226 |
+
"eval_steps_per_second": 2.059,
|
1227 |
+
"step": 348
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.14,
|
1231 |
+
"learning_rate": 2.5776e-07,
|
1232 |
+
"loss": 2.2812,
|
1233 |
+
"step": 352
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.14,
|
1237 |
+
"eval_loss": 2.11067795753479,
|
1238 |
+
"eval_runtime": 0.4778,
|
1239 |
+
"eval_samples_per_second": 8.372,
|
1240 |
+
"eval_steps_per_second": 2.093,
|
1241 |
+
"step": 352
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.14,
|
1245 |
+
"learning_rate": 2.5728e-07,
|
1246 |
+
"loss": 2.2454,
|
1247 |
+
"step": 356
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 0.14,
|
1251 |
+
"eval_loss": 2.106940746307373,
|
1252 |
+
"eval_runtime": 0.4945,
|
1253 |
+
"eval_samples_per_second": 8.089,
|
1254 |
+
"eval_steps_per_second": 2.022,
|
1255 |
+
"step": 356
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.14,
|
1259 |
+
"learning_rate": 2.5679999999999997e-07,
|
1260 |
+
"loss": 2.2261,
|
1261 |
+
"step": 360
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 0.14,
|
1265 |
+
"eval_loss": 2.1031668186187744,
|
1266 |
+
"eval_runtime": 0.6521,
|
1267 |
+
"eval_samples_per_second": 6.134,
|
1268 |
+
"eval_steps_per_second": 1.533,
|
1269 |
+
"step": 360
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.15,
|
1273 |
+
"learning_rate": 2.5632e-07,
|
1274 |
+
"loss": 2.2841,
|
1275 |
+
"step": 364
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.15,
|
1279 |
+
"eval_loss": 2.0989203453063965,
|
1280 |
+
"eval_runtime": 0.6249,
|
1281 |
+
"eval_samples_per_second": 6.401,
|
1282 |
+
"eval_steps_per_second": 1.6,
|
1283 |
+
"step": 364
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.15,
|
1287 |
+
"learning_rate": 2.5584e-07,
|
1288 |
+
"loss": 2.2481,
|
1289 |
+
"step": 368
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.15,
|
1293 |
+
"eval_loss": 2.095189332962036,
|
1294 |
+
"eval_runtime": 0.6855,
|
1295 |
+
"eval_samples_per_second": 5.835,
|
1296 |
+
"eval_steps_per_second": 1.459,
|
1297 |
+
"step": 368
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.15,
|
1301 |
+
"learning_rate": 2.5536e-07,
|
1302 |
+
"loss": 2.278,
|
1303 |
+
"step": 372
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 0.15,
|
1307 |
+
"eval_loss": 2.0912463665008545,
|
1308 |
+
"eval_runtime": 0.7393,
|
1309 |
+
"eval_samples_per_second": 5.411,
|
1310 |
+
"eval_steps_per_second": 1.353,
|
1311 |
+
"step": 372
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.15,
|
1315 |
+
"learning_rate": 2.5488e-07,
|
1316 |
+
"loss": 2.2765,
|
1317 |
+
"step": 376
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.15,
|
1321 |
+
"eval_loss": 2.087336301803589,
|
1322 |
+
"eval_runtime": 0.4793,
|
1323 |
+
"eval_samples_per_second": 8.345,
|
1324 |
+
"eval_steps_per_second": 2.086,
|
1325 |
+
"step": 376
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.15,
|
1329 |
+
"learning_rate": 2.544e-07,
|
1330 |
+
"loss": 2.2232,
|
1331 |
+
"step": 380
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.15,
|
1335 |
+
"eval_loss": 2.0833120346069336,
|
1336 |
+
"eval_runtime": 0.487,
|
1337 |
+
"eval_samples_per_second": 8.214,
|
1338 |
+
"eval_steps_per_second": 2.053,
|
1339 |
+
"step": 380
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.15,
|
1343 |
+
"learning_rate": 2.5392e-07,
|
1344 |
+
"loss": 2.306,
|
1345 |
+
"step": 384
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.15,
|
1349 |
+
"eval_loss": 2.079479932785034,
|
1350 |
+
"eval_runtime": 0.4722,
|
1351 |
+
"eval_samples_per_second": 8.471,
|
1352 |
+
"eval_steps_per_second": 2.118,
|
1353 |
+
"step": 384
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.16,
|
1357 |
+
"learning_rate": 2.5343999999999997e-07,
|
1358 |
+
"loss": 2.2126,
|
1359 |
+
"step": 388
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.16,
|
1363 |
+
"eval_loss": 2.0760295391082764,
|
1364 |
+
"eval_runtime": 0.4958,
|
1365 |
+
"eval_samples_per_second": 8.068,
|
1366 |
+
"eval_steps_per_second": 2.017,
|
1367 |
+
"step": 388
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.16,
|
1371 |
+
"learning_rate": 2.5295999999999996e-07,
|
1372 |
+
"loss": 2.2557,
|
1373 |
+
"step": 392
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.16,
|
1377 |
+
"eval_loss": 2.072136402130127,
|
1378 |
+
"eval_runtime": 0.469,
|
1379 |
+
"eval_samples_per_second": 8.529,
|
1380 |
+
"eval_steps_per_second": 2.132,
|
1381 |
+
"step": 392
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.16,
|
1385 |
+
"learning_rate": 2.5248e-07,
|
1386 |
+
"loss": 2.1988,
|
1387 |
+
"step": 396
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 0.16,
|
1391 |
+
"eval_loss": 2.0683670043945312,
|
1392 |
+
"eval_runtime": 0.6385,
|
1393 |
+
"eval_samples_per_second": 6.264,
|
1394 |
+
"eval_steps_per_second": 1.566,
|
1395 |
+
"step": 396
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.16,
|
1399 |
+
"learning_rate": 2.52e-07,
|
1400 |
+
"loss": 2.1917,
|
1401 |
+
"step": 400
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.16,
|
1405 |
+
"eval_loss": 2.0638906955718994,
|
1406 |
+
"eval_runtime": 0.6834,
|
1407 |
+
"eval_samples_per_second": 5.853,
|
1408 |
+
"eval_steps_per_second": 1.463,
|
1409 |
+
"step": 400
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.16,
|
1413 |
+
"learning_rate": 2.5152e-07,
|
1414 |
+
"loss": 2.2479,
|
1415 |
+
"step": 404
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.16,
|
1419 |
+
"eval_loss": 2.0599253177642822,
|
1420 |
+
"eval_runtime": 0.7261,
|
1421 |
+
"eval_samples_per_second": 5.509,
|
1422 |
+
"eval_steps_per_second": 1.377,
|
1423 |
+
"step": 404
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.16,
|
1427 |
+
"learning_rate": 2.5104e-07,
|
1428 |
+
"loss": 2.1484,
|
1429 |
+
"step": 408
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 0.16,
|
1433 |
+
"eval_loss": 2.055751085281372,
|
1434 |
+
"eval_runtime": 0.7367,
|
1435 |
+
"eval_samples_per_second": 5.429,
|
1436 |
+
"eval_steps_per_second": 1.357,
|
1437 |
+
"step": 408
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.16,
|
1441 |
+
"learning_rate": 2.5056e-07,
|
1442 |
+
"loss": 2.1886,
|
1443 |
+
"step": 412
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.16,
|
1447 |
+
"eval_loss": 2.052119016647339,
|
1448 |
+
"eval_runtime": 0.4808,
|
1449 |
+
"eval_samples_per_second": 8.319,
|
1450 |
+
"eval_steps_per_second": 2.08,
|
1451 |
+
"step": 412
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.17,
|
1455 |
+
"learning_rate": 2.5007999999999997e-07,
|
1456 |
+
"loss": 2.2026,
|
1457 |
+
"step": 416
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.17,
|
1461 |
+
"eval_loss": 2.0482354164123535,
|
1462 |
+
"eval_runtime": 0.4856,
|
1463 |
+
"eval_samples_per_second": 8.238,
|
1464 |
+
"eval_steps_per_second": 2.059,
|
1465 |
+
"step": 416
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.17,
|
1469 |
+
"learning_rate": 2.4959999999999996e-07,
|
1470 |
+
"loss": 2.1572,
|
1471 |
+
"step": 420
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.17,
|
1475 |
+
"eval_loss": 2.0441887378692627,
|
1476 |
+
"eval_runtime": 0.4779,
|
1477 |
+
"eval_samples_per_second": 8.37,
|
1478 |
+
"eval_steps_per_second": 2.093,
|
1479 |
+
"step": 420
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.17,
|
1483 |
+
"learning_rate": 2.4912e-07,
|
1484 |
+
"loss": 2.1931,
|
1485 |
+
"step": 424
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.17,
|
1489 |
+
"eval_loss": 2.0399935245513916,
|
1490 |
+
"eval_runtime": 0.4803,
|
1491 |
+
"eval_samples_per_second": 8.329,
|
1492 |
+
"eval_steps_per_second": 2.082,
|
1493 |
+
"step": 424
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.17,
|
1497 |
+
"learning_rate": 2.4864e-07,
|
1498 |
+
"loss": 2.161,
|
1499 |
+
"step": 428
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 0.17,
|
1503 |
+
"eval_loss": 2.03645920753479,
|
1504 |
+
"eval_runtime": 0.4924,
|
1505 |
+
"eval_samples_per_second": 8.123,
|
1506 |
+
"eval_steps_per_second": 2.031,
|
1507 |
+
"step": 428
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.17,
|
1511 |
+
"learning_rate": 2.4816e-07,
|
1512 |
+
"loss": 2.1115,
|
1513 |
+
"step": 432
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.17,
|
1517 |
+
"eval_loss": 2.032196044921875,
|
1518 |
+
"eval_runtime": 0.6345,
|
1519 |
+
"eval_samples_per_second": 6.304,
|
1520 |
+
"eval_steps_per_second": 1.576,
|
1521 |
+
"step": 432
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.17,
|
1525 |
+
"learning_rate": 2.4768e-07,
|
1526 |
+
"loss": 2.173,
|
1527 |
+
"step": 436
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.17,
|
1531 |
+
"eval_loss": 2.028397560119629,
|
1532 |
+
"eval_runtime": 0.6625,
|
1533 |
+
"eval_samples_per_second": 6.038,
|
1534 |
+
"eval_steps_per_second": 1.509,
|
1535 |
+
"step": 436
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.18,
|
1539 |
+
"learning_rate": 2.472e-07,
|
1540 |
+
"loss": 2.1491,
|
1541 |
+
"step": 440
|
1542 |
+
},
|
1543 |
+
{
|
1544 |
+
"epoch": 0.18,
|
1545 |
+
"eval_loss": 2.0247464179992676,
|
1546 |
+
"eval_runtime": 0.6969,
|
1547 |
+
"eval_samples_per_second": 5.74,
|
1548 |
+
"eval_steps_per_second": 1.435,
|
1549 |
+
"step": 440
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.18,
|
1553 |
+
"learning_rate": 2.4672e-07,
|
1554 |
+
"loss": 2.1716,
|
1555 |
+
"step": 444
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 0.18,
|
1559 |
+
"eval_loss": 2.0203933715820312,
|
1560 |
+
"eval_runtime": 0.7311,
|
1561 |
+
"eval_samples_per_second": 5.471,
|
1562 |
+
"eval_steps_per_second": 1.368,
|
1563 |
+
"step": 444
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.18,
|
1567 |
+
"learning_rate": 2.4623999999999996e-07,
|
1568 |
+
"loss": 2.2031,
|
1569 |
+
"step": 448
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.18,
|
1573 |
+
"eval_loss": 2.016533374786377,
|
1574 |
+
"eval_runtime": 0.4875,
|
1575 |
+
"eval_samples_per_second": 8.206,
|
1576 |
+
"eval_steps_per_second": 2.051,
|
1577 |
+
"step": 448
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.18,
|
1581 |
+
"learning_rate": 2.4576e-07,
|
1582 |
+
"loss": 2.1466,
|
1583 |
+
"step": 452
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 0.18,
|
1587 |
+
"eval_loss": 2.012568473815918,
|
1588 |
+
"eval_runtime": 0.4897,
|
1589 |
+
"eval_samples_per_second": 8.168,
|
1590 |
+
"eval_steps_per_second": 2.042,
|
1591 |
+
"step": 452
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.18,
|
1595 |
+
"learning_rate": 2.4528e-07,
|
1596 |
+
"loss": 2.1384,
|
1597 |
+
"step": 456
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 0.18,
|
1601 |
+
"eval_loss": 2.0088417530059814,
|
1602 |
+
"eval_runtime": 0.4969,
|
1603 |
+
"eval_samples_per_second": 8.05,
|
1604 |
+
"eval_steps_per_second": 2.013,
|
1605 |
+
"step": 456
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.18,
|
1609 |
+
"learning_rate": 2.4479999999999997e-07,
|
1610 |
+
"loss": 2.1824,
|
1611 |
+
"step": 460
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.18,
|
1615 |
+
"eval_loss": 2.0047850608825684,
|
1616 |
+
"eval_runtime": 0.4897,
|
1617 |
+
"eval_samples_per_second": 8.168,
|
1618 |
+
"eval_steps_per_second": 2.042,
|
1619 |
+
"step": 460
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.19,
|
1623 |
+
"learning_rate": 2.4432e-07,
|
1624 |
+
"loss": 2.1401,
|
1625 |
+
"step": 464
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.19,
|
1629 |
+
"eval_loss": 2.0006463527679443,
|
1630 |
+
"eval_runtime": 0.4882,
|
1631 |
+
"eval_samples_per_second": 8.193,
|
1632 |
+
"eval_steps_per_second": 2.048,
|
1633 |
+
"step": 464
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.19,
|
1637 |
+
"learning_rate": 2.4384e-07,
|
1638 |
+
"loss": 2.2086,
|
1639 |
+
"step": 468
|
1640 |
+
},
|
1641 |
+
{
|
1642 |
+
"epoch": 0.19,
|
1643 |
+
"eval_loss": 1.9969314336776733,
|
1644 |
+
"eval_runtime": 0.6612,
|
1645 |
+
"eval_samples_per_second": 6.049,
|
1646 |
+
"eval_steps_per_second": 1.512,
|
1647 |
+
"step": 468
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.19,
|
1651 |
+
"learning_rate": 2.4336e-07,
|
1652 |
+
"loss": 2.1687,
|
1653 |
+
"step": 472
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.19,
|
1657 |
+
"eval_loss": 1.9925954341888428,
|
1658 |
+
"eval_runtime": 0.6804,
|
1659 |
+
"eval_samples_per_second": 5.879,
|
1660 |
+
"eval_steps_per_second": 1.47,
|
1661 |
+
"step": 472
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.19,
|
1665 |
+
"learning_rate": 2.4287999999999996e-07,
|
1666 |
+
"loss": 2.145,
|
1667 |
+
"step": 476
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 0.19,
|
1671 |
+
"eval_loss": 1.9888066053390503,
|
1672 |
+
"eval_runtime": 0.6955,
|
1673 |
+
"eval_samples_per_second": 5.752,
|
1674 |
+
"eval_steps_per_second": 1.438,
|
1675 |
+
"step": 476
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.19,
|
1679 |
+
"learning_rate": 2.424e-07,
|
1680 |
+
"loss": 2.2007,
|
1681 |
+
"step": 480
|
1682 |
+
},
|
1683 |
+
{
|
1684 |
+
"epoch": 0.19,
|
1685 |
+
"eval_loss": 1.9850127696990967,
|
1686 |
+
"eval_runtime": 0.7558,
|
1687 |
+
"eval_samples_per_second": 5.292,
|
1688 |
+
"eval_steps_per_second": 1.323,
|
1689 |
+
"step": 480
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.19,
|
1693 |
+
"learning_rate": 2.4192e-07,
|
1694 |
+
"loss": 2.1367,
|
1695 |
+
"step": 484
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 0.19,
|
1699 |
+
"eval_loss": 1.9808437824249268,
|
1700 |
+
"eval_runtime": 0.4706,
|
1701 |
+
"eval_samples_per_second": 8.499,
|
1702 |
+
"eval_steps_per_second": 2.125,
|
1703 |
+
"step": 484
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.2,
|
1707 |
+
"learning_rate": 2.4143999999999997e-07,
|
1708 |
+
"loss": 2.1291,
|
1709 |
+
"step": 488
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 0.2,
|
1713 |
+
"eval_loss": 1.9767786264419556,
|
1714 |
+
"eval_runtime": 0.4803,
|
1715 |
+
"eval_samples_per_second": 8.327,
|
1716 |
+
"eval_steps_per_second": 2.082,
|
1717 |
+
"step": 488
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.2,
|
1721 |
+
"learning_rate": 2.4096e-07,
|
1722 |
+
"loss": 2.1124,
|
1723 |
+
"step": 492
|
1724 |
+
},
|
1725 |
+
{
|
1726 |
+
"epoch": 0.2,
|
1727 |
+
"eval_loss": 1.9728602170944214,
|
1728 |
+
"eval_runtime": 0.4802,
|
1729 |
+
"eval_samples_per_second": 8.33,
|
1730 |
+
"eval_steps_per_second": 2.082,
|
1731 |
+
"step": 492
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.2,
|
1735 |
+
"learning_rate": 2.4048e-07,
|
1736 |
+
"loss": 2.0738,
|
1737 |
+
"step": 496
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.2,
|
1741 |
+
"eval_loss": 1.968900203704834,
|
1742 |
+
"eval_runtime": 0.4884,
|
1743 |
+
"eval_samples_per_second": 8.189,
|
1744 |
+
"eval_steps_per_second": 2.047,
|
1745 |
+
"step": 496
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.2,
|
1749 |
+
"learning_rate": 2.4e-07,
|
1750 |
+
"loss": 2.1048,
|
1751 |
+
"step": 500
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 0.2,
|
1755 |
+
"eval_loss": 1.9646457433700562,
|
1756 |
+
"eval_runtime": 0.5026,
|
1757 |
+
"eval_samples_per_second": 7.959,
|
1758 |
+
"eval_steps_per_second": 1.99,
|
1759 |
+
"step": 500
|
1760 |
+
}
|
1761 |
+
],
|
1762 |
+
"logging_steps": 4,
|
1763 |
+
"max_steps": 2500,
|
1764 |
+
"num_input_tokens_seen": 0,
|
1765 |
+
"num_train_epochs": 1,
|
1766 |
+
"save_steps": 500,
|
1767 |
+
"total_flos": 6.356044087296e+16,
|
1768 |
+
"trial_name": null,
|
1769 |
+
"trial_params": null
|
1770 |
+
}
|
checkpoint-500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8372290711385a4b881e6c95b154723c812dc21e47ba06376b2d40c72d854043
|
3 |
+
size 4600
|