Training in progress, step 2000, checkpoint
Browse files- checkpoint-2000/config.json +26 -0
- checkpoint-2000/generation_config.json +6 -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 +1434 -0
- checkpoint-2000/training_args.bin +3 -0
checkpoint-2000/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Olmo2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"eos_token_id": 100257,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 2048,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 8192,
|
| 12 |
+
"max_position_embeddings": 4096,
|
| 13 |
+
"model_type": "olmo2",
|
| 14 |
+
"num_attention_heads": 16,
|
| 15 |
+
"num_hidden_layers": 16,
|
| 16 |
+
"num_key_value_heads": 16,
|
| 17 |
+
"pad_token_id": 100277,
|
| 18 |
+
"rms_norm_eps": 1e-06,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 500000,
|
| 21 |
+
"tie_word_embeddings": false,
|
| 22 |
+
"torch_dtype": "bfloat16",
|
| 23 |
+
"transformers_version": "4.51.3",
|
| 24 |
+
"use_cache": false,
|
| 25 |
+
"vocab_size": 100352
|
| 26 |
+
}
|
checkpoint-2000/generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 100257,
|
| 4 |
+
"pad_token_id": 100277,
|
| 5 |
+
"transformers_version": "4.51.3"
|
| 6 |
+
}
|
checkpoint-2000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe902d42c0cfa1c71615f19d482a15b1eff4d0e704d0ab3df18f24529aa4d975
|
| 3 |
+
size 2969854224
|
checkpoint-2000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2178428fe3b0f94f301237705ed6446a7e6cd366053e8ee367df302b1fd8342
|
| 3 |
+
size 4500154
|
checkpoint-2000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a25f97589403a621c3b188943f5df783f51ee071ce5b9e56779da558e5a22e23
|
| 3 |
+
size 15006
|
checkpoint-2000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5571d4ab62e5f9fb577127f2561c2051dc65dc3b8aaa8dca9162f3017c01eba5
|
| 3 |
+
size 1064
|
checkpoint-2000/trainer_state.json
ADDED
|
@@ -0,0 +1,1434 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.005,
|
| 14 |
+
"grad_norm": 2.859375,
|
| 15 |
+
"learning_rate": 2.6999999999999996e-05,
|
| 16 |
+
"loss": 2.4453,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.01,
|
| 21 |
+
"grad_norm": 1.7421875,
|
| 22 |
+
"learning_rate": 5.6999999999999996e-05,
|
| 23 |
+
"loss": 2.5,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.015,
|
| 28 |
+
"grad_norm": 2.015625,
|
| 29 |
+
"learning_rate": 8.699999999999999e-05,
|
| 30 |
+
"loss": 2.2625,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.02,
|
| 35 |
+
"grad_norm": 2.78125,
|
| 36 |
+
"learning_rate": 0.000117,
|
| 37 |
+
"loss": 2.5672,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.025,
|
| 42 |
+
"grad_norm": 2.125,
|
| 43 |
+
"learning_rate": 0.000147,
|
| 44 |
+
"loss": 2.343,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03,
|
| 49 |
+
"grad_norm": 2.5,
|
| 50 |
+
"learning_rate": 0.00017699999999999997,
|
| 51 |
+
"loss": 2.3664,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.035,
|
| 56 |
+
"grad_norm": 2.859375,
|
| 57 |
+
"learning_rate": 0.00020699999999999996,
|
| 58 |
+
"loss": 2.3289,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04,
|
| 63 |
+
"grad_norm": 3.65625,
|
| 64 |
+
"learning_rate": 0.000237,
|
| 65 |
+
"loss": 2.7641,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.045,
|
| 70 |
+
"grad_norm": 2.890625,
|
| 71 |
+
"learning_rate": 0.000267,
|
| 72 |
+
"loss": 2.5875,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05,
|
| 77 |
+
"grad_norm": 3.875,
|
| 78 |
+
"learning_rate": 0.00029699999999999996,
|
| 79 |
+
"loss": 2.5516,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.055,
|
| 84 |
+
"grad_norm": 3.90625,
|
| 85 |
+
"learning_rate": 0.000327,
|
| 86 |
+
"loss": 2.9203,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06,
|
| 91 |
+
"grad_norm": 3.328125,
|
| 92 |
+
"learning_rate": 0.00035699999999999995,
|
| 93 |
+
"loss": 2.6172,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.065,
|
| 98 |
+
"grad_norm": 2.71875,
|
| 99 |
+
"learning_rate": 0.000387,
|
| 100 |
+
"loss": 2.493,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.07,
|
| 105 |
+
"grad_norm": 2.90625,
|
| 106 |
+
"learning_rate": 0.00041699999999999994,
|
| 107 |
+
"loss": 2.9422,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.075,
|
| 112 |
+
"grad_norm": 6.65625,
|
| 113 |
+
"learning_rate": 0.00044699999999999997,
|
| 114 |
+
"loss": 3.0453,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.08,
|
| 119 |
+
"grad_norm": 3.171875,
|
| 120 |
+
"learning_rate": 0.000477,
|
| 121 |
+
"loss": 2.8469,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.085,
|
| 126 |
+
"grad_norm": 3.234375,
|
| 127 |
+
"learning_rate": 0.000507,
|
| 128 |
+
"loss": 2.6391,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.09,
|
| 133 |
+
"grad_norm": 6.34375,
|
| 134 |
+
"learning_rate": 0.0005369999999999999,
|
| 135 |
+
"loss": 2.8453,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.095,
|
| 140 |
+
"grad_norm": 10.6875,
|
| 141 |
+
"learning_rate": 0.0005669999999999999,
|
| 142 |
+
"loss": 4.5922,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.1,
|
| 147 |
+
"grad_norm": 12.875,
|
| 148 |
+
"learning_rate": 0.000597,
|
| 149 |
+
"loss": 5.9813,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.105,
|
| 154 |
+
"grad_norm": 5.25,
|
| 155 |
+
"learning_rate": 0.0005999629897444982,
|
| 156 |
+
"loss": 4.3969,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.11,
|
| 161 |
+
"grad_norm": 4.09375,
|
| 162 |
+
"learning_rate": 0.0005998350647825272,
|
| 163 |
+
"loss": 3.0219,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.115,
|
| 168 |
+
"grad_norm": 2.78125,
|
| 169 |
+
"learning_rate": 0.0005996158071552558,
|
| 170 |
+
"loss": 2.9656,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.12,
|
| 175 |
+
"grad_norm": 3.109375,
|
| 176 |
+
"learning_rate": 0.0005993052836506816,
|
| 177 |
+
"loss": 2.6781,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.125,
|
| 182 |
+
"grad_norm": 2.15625,
|
| 183 |
+
"learning_rate": 0.0005989035888572719,
|
| 184 |
+
"loss": 2.7109,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.13,
|
| 189 |
+
"grad_norm": 1.4765625,
|
| 190 |
+
"learning_rate": 0.0005984108451351521,
|
| 191 |
+
"loss": 2.6266,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.135,
|
| 196 |
+
"grad_norm": 1.9609375,
|
| 197 |
+
"learning_rate": 0.0005978272025788336,
|
| 198 |
+
"loss": 2.4766,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.14,
|
| 203 |
+
"grad_norm": 1.5234375,
|
| 204 |
+
"learning_rate": 0.0005971528389714926,
|
| 205 |
+
"loss": 2.3531,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.145,
|
| 210 |
+
"grad_norm": 1.9921875,
|
| 211 |
+
"learning_rate": 0.0005963879597308167,
|
| 212 |
+
"loss": 2.1461,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.15,
|
| 217 |
+
"grad_norm": 2.375,
|
| 218 |
+
"learning_rate": 0.0005955327978464321,
|
| 219 |
+
"loss": 2.1969,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.155,
|
| 224 |
+
"grad_norm": 1.5859375,
|
| 225 |
+
"learning_rate": 0.0005945876138089331,
|
| 226 |
+
"loss": 1.993,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.16,
|
| 231 |
+
"grad_norm": 2.40625,
|
| 232 |
+
"learning_rate": 0.0005935526955305335,
|
| 233 |
+
"loss": 1.9977,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.165,
|
| 238 |
+
"grad_norm": 1.15625,
|
| 239 |
+
"learning_rate": 0.0005924283582573665,
|
| 240 |
+
"loss": 2.2781,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.17,
|
| 245 |
+
"grad_norm": 1.7890625,
|
| 246 |
+
"learning_rate": 0.0005912149444734572,
|
| 247 |
+
"loss": 2.1,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.175,
|
| 252 |
+
"grad_norm": 1.2578125,
|
| 253 |
+
"learning_rate": 0.0005899128237963988,
|
| 254 |
+
"loss": 2.2039,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.18,
|
| 259 |
+
"grad_norm": 2.703125,
|
| 260 |
+
"learning_rate": 0.0005885223928647634,
|
| 261 |
+
"loss": 1.9766,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.185,
|
| 266 |
+
"grad_norm": 1.3828125,
|
| 267 |
+
"learning_rate": 0.0005870440752172822,
|
| 268 |
+
"loss": 1.8641,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.19,
|
| 273 |
+
"grad_norm": 1.515625,
|
| 274 |
+
"learning_rate": 0.0005854783211638314,
|
| 275 |
+
"loss": 1.907,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.195,
|
| 280 |
+
"grad_norm": 1.1640625,
|
| 281 |
+
"learning_rate": 0.0005838256076482636,
|
| 282 |
+
"loss": 1.8539,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.2,
|
| 287 |
+
"grad_norm": 1.3125,
|
| 288 |
+
"learning_rate": 0.0005820864381031256,
|
| 289 |
+
"loss": 1.8328,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.205,
|
| 294 |
+
"grad_norm": 1.125,
|
| 295 |
+
"learning_rate": 0.0005802613422963088,
|
| 296 |
+
"loss": 1.7602,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.21,
|
| 301 |
+
"grad_norm": 1.3125,
|
| 302 |
+
"learning_rate": 0.0005783508761696759,
|
| 303 |
+
"loss": 1.918,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.215,
|
| 308 |
+
"grad_norm": 1.1875,
|
| 309 |
+
"learning_rate": 0.0005763556216697163,
|
| 310 |
+
"loss": 1.8914,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.22,
|
| 315 |
+
"grad_norm": 1.2734375,
|
| 316 |
+
"learning_rate": 0.0005742761865702791,
|
| 317 |
+
"loss": 1.6906,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.225,
|
| 322 |
+
"grad_norm": 1.140625,
|
| 323 |
+
"learning_rate": 0.0005721132042874394,
|
| 324 |
+
"loss": 1.6391,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.23,
|
| 329 |
+
"grad_norm": 5.21875,
|
| 330 |
+
"learning_rate": 0.000569867333686554,
|
| 331 |
+
"loss": 1.7523,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.235,
|
| 336 |
+
"grad_norm": 1.125,
|
| 337 |
+
"learning_rate": 0.0005675392588815641,
|
| 338 |
+
"loss": 1.7008,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.24,
|
| 343 |
+
"grad_norm": 1.1796875,
|
| 344 |
+
"learning_rate": 0.0005651296890266081,
|
| 345 |
+
"loss": 2.1516,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.245,
|
| 350 |
+
"grad_norm": 1.546875,
|
| 351 |
+
"learning_rate": 0.0005626393581000054,
|
| 352 |
+
"loss": 1.7375,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.25,
|
| 357 |
+
"grad_norm": 0.9453125,
|
| 358 |
+
"learning_rate": 0.0005600690246806807,
|
| 359 |
+
"loss": 1.7031,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.255,
|
| 364 |
+
"grad_norm": 1.2734375,
|
| 365 |
+
"learning_rate": 0.0005574194717170933,
|
| 366 |
+
"loss": 1.7109,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.26,
|
| 371 |
+
"grad_norm": 0.9609375,
|
| 372 |
+
"learning_rate": 0.0005546915062887424,
|
| 373 |
+
"loss": 1.6242,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.265,
|
| 378 |
+
"grad_norm": 1.125,
|
| 379 |
+
"learning_rate": 0.0005518859593603239,
|
| 380 |
+
"loss": 1.5164,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.27,
|
| 385 |
+
"grad_norm": 1.171875,
|
| 386 |
+
"learning_rate": 0.0005490036855286102,
|
| 387 |
+
"loss": 1.6609,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.275,
|
| 392 |
+
"grad_norm": 1.015625,
|
| 393 |
+
"learning_rate": 0.0005460455627621316,
|
| 394 |
+
"loss": 1.6766,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.28,
|
| 399 |
+
"grad_norm": 1.15625,
|
| 400 |
+
"learning_rate": 0.0005430124921337388,
|
| 401 |
+
"loss": 1.7398,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.285,
|
| 406 |
+
"grad_norm": 0.90625,
|
| 407 |
+
"learning_rate": 0.0005399053975461271,
|
| 408 |
+
"loss": 1.5383,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.29,
|
| 413 |
+
"grad_norm": 1.1484375,
|
| 414 |
+
"learning_rate": 0.0005367252254504072,
|
| 415 |
+
"loss": 1.6508,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.295,
|
| 420 |
+
"grad_norm": 0.921875,
|
| 421 |
+
"learning_rate": 0.0005334729445578063,
|
| 422 |
+
"loss": 1.518,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.3,
|
| 427 |
+
"grad_norm": 0.83984375,
|
| 428 |
+
"learning_rate": 0.0005301495455445899,
|
| 429 |
+
"loss": 1.6211,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.305,
|
| 434 |
+
"grad_norm": 1.234375,
|
| 435 |
+
"learning_rate": 0.0005267560407502918,
|
| 436 |
+
"loss": 2.0797,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.31,
|
| 441 |
+
"grad_norm": 0.83203125,
|
| 442 |
+
"learning_rate": 0.0005232934638693461,
|
| 443 |
+
"loss": 1.4633,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.315,
|
| 448 |
+
"grad_norm": 0.890625,
|
| 449 |
+
"learning_rate": 0.0005197628696362136,
|
| 450 |
+
"loss": 1.5531,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.32,
|
| 455 |
+
"grad_norm": 1.0078125,
|
| 456 |
+
"learning_rate": 0.0005161653335040991,
|
| 457 |
+
"loss": 1.5664,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.325,
|
| 462 |
+
"grad_norm": 1.2421875,
|
| 463 |
+
"learning_rate": 0.0005125019513173586,
|
| 464 |
+
"loss": 1.5578,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.33,
|
| 469 |
+
"grad_norm": 1.0625,
|
| 470 |
+
"learning_rate": 0.0005087738389776942,
|
| 471 |
+
"loss": 1.4922,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.335,
|
| 476 |
+
"grad_norm": 1.015625,
|
| 477 |
+
"learning_rate": 0.0005049821321042397,
|
| 478 |
+
"loss": 1.4492,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.34,
|
| 483 |
+
"grad_norm": 1.0390625,
|
| 484 |
+
"learning_rate": 0.0005011279856876397,
|
| 485 |
+
"loss": 1.4094,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.345,
|
| 490 |
+
"grad_norm": 0.9921875,
|
| 491 |
+
"learning_rate": 0.0004972125737382287,
|
| 492 |
+
"loss": 1.4609,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.35,
|
| 497 |
+
"grad_norm": 0.9609375,
|
| 498 |
+
"learning_rate": 0.000493237088928416,
|
| 499 |
+
"loss": 1.4133,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.355,
|
| 504 |
+
"grad_norm": 1.125,
|
| 505 |
+
"learning_rate": 0.0004892027422293859,
|
| 506 |
+
"loss": 1.4062,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.36,
|
| 511 |
+
"grad_norm": 0.83203125,
|
| 512 |
+
"learning_rate": 0.0004851107625422246,
|
| 513 |
+
"loss": 1.4906,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.365,
|
| 518 |
+
"grad_norm": 0.8046875,
|
| 519 |
+
"learning_rate": 0.0004809623963235847,
|
| 520 |
+
"loss": 1.3391,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.37,
|
| 525 |
+
"grad_norm": 1.0625,
|
| 526 |
+
"learning_rate": 0.00047675890720600257,
|
| 527 |
+
"loss": 1.3695,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.375,
|
| 532 |
+
"grad_norm": 1.0078125,
|
| 533 |
+
"learning_rate": 0.00047250157561298356,
|
| 534 |
+
"loss": 1.3172,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.38,
|
| 539 |
+
"grad_norm": 0.8125,
|
| 540 |
+
"learning_rate": 0.00046819169836897253,
|
| 541 |
+
"loss": 1.243,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.385,
|
| 546 |
+
"grad_norm": 0.640625,
|
| 547 |
+
"learning_rate": 0.0004638305883043287,
|
| 548 |
+
"loss": 1.3375,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.39,
|
| 553 |
+
"grad_norm": 0.98046875,
|
| 554 |
+
"learning_rate": 0.00045941957385542485,
|
| 555 |
+
"loss": 1.3273,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.395,
|
| 560 |
+
"grad_norm": 0.66015625,
|
| 561 |
+
"learning_rate": 0.0004549599986599925,
|
| 562 |
+
"loss": 1.3898,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.4,
|
| 567 |
+
"grad_norm": 0.99609375,
|
| 568 |
+
"learning_rate": 0.00045045322114783715,
|
| 569 |
+
"loss": 1.3617,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.405,
|
| 574 |
+
"grad_norm": 6.5625,
|
| 575 |
+
"learning_rate": 0.0004459006141270471,
|
| 576 |
+
"loss": 1.3625,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.41,
|
| 581 |
+
"grad_norm": 0.7109375,
|
| 582 |
+
"learning_rate": 0.00044130356436582294,
|
| 583 |
+
"loss": 1.3188,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.415,
|
| 588 |
+
"grad_norm": 0.84375,
|
| 589 |
+
"learning_rate": 0.00043666347217005463,
|
| 590 |
+
"loss": 1.3562,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.42,
|
| 595 |
+
"grad_norm": 0.94921875,
|
| 596 |
+
"learning_rate": 0.00043198175095677453,
|
| 597 |
+
"loss": 1.425,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.425,
|
| 602 |
+
"grad_norm": 0.78125,
|
| 603 |
+
"learning_rate": 0.000427259826823617,
|
| 604 |
+
"loss": 1.4023,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.43,
|
| 609 |
+
"grad_norm": 0.7734375,
|
| 610 |
+
"learning_rate": 0.0004224991381144154,
|
| 611 |
+
"loss": 1.2961,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.435,
|
| 616 |
+
"grad_norm": 0.8671875,
|
| 617 |
+
"learning_rate": 0.0004177011349810684,
|
| 618 |
+
"loss": 1.2836,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.44,
|
| 623 |
+
"grad_norm": 0.734375,
|
| 624 |
+
"learning_rate": 0.0004128672789418096,
|
| 625 |
+
"loss": 1.193,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.445,
|
| 630 |
+
"grad_norm": 0.796875,
|
| 631 |
+
"learning_rate": 0.00040799904243601535,
|
| 632 |
+
"loss": 1.3305,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.45,
|
| 637 |
+
"grad_norm": 0.85546875,
|
| 638 |
+
"learning_rate": 0.00040309790837568483,
|
| 639 |
+
"loss": 1.2641,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.455,
|
| 644 |
+
"grad_norm": 0.75,
|
| 645 |
+
"learning_rate": 0.00039816536969373116,
|
| 646 |
+
"loss": 1.2453,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.46,
|
| 651 |
+
"grad_norm": 0.7890625,
|
| 652 |
+
"learning_rate": 0.0003932029288892195,
|
| 653 |
+
"loss": 1.232,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.465,
|
| 658 |
+
"grad_norm": 0.7109375,
|
| 659 |
+
"learning_rate": 0.0003882120975696911,
|
| 660 |
+
"loss": 1.2602,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.47,
|
| 665 |
+
"grad_norm": 0.9140625,
|
| 666 |
+
"learning_rate": 0.00038319439599071337,
|
| 667 |
+
"loss": 1.2691,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.475,
|
| 672 |
+
"grad_norm": 0.76953125,
|
| 673 |
+
"learning_rate": 0.0003781513525927945,
|
| 674 |
+
"loss": 1.1977,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.48,
|
| 679 |
+
"grad_norm": 0.734375,
|
| 680 |
+
"learning_rate": 0.00037308450353580673,
|
| 681 |
+
"loss": 1.1734,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.485,
|
| 686 |
+
"grad_norm": 0.69140625,
|
| 687 |
+
"learning_rate": 0.0003679953922310565,
|
| 688 |
+
"loss": 1.1852,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.49,
|
| 693 |
+
"grad_norm": 0.625,
|
| 694 |
+
"learning_rate": 0.00036288556887114655,
|
| 695 |
+
"loss": 1.2359,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.495,
|
| 700 |
+
"grad_norm": 0.77734375,
|
| 701 |
+
"learning_rate": 0.00035775658995777223,
|
| 702 |
+
"loss": 1.1926,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.5,
|
| 707 |
+
"grad_norm": 0.78515625,
|
| 708 |
+
"learning_rate": 0.0003526100178275961,
|
| 709 |
+
"loss": 1.1594,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.505,
|
| 714 |
+
"grad_norm": 0.75390625,
|
| 715 |
+
"learning_rate": 0.00034744742017634513,
|
| 716 |
+
"loss": 1.2055,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.51,
|
| 721 |
+
"grad_norm": 0.6484375,
|
| 722 |
+
"learning_rate": 0.00034227036958127475,
|
| 723 |
+
"loss": 1.2023,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.515,
|
| 728 |
+
"grad_norm": 0.515625,
|
| 729 |
+
"learning_rate": 0.0003370804430221478,
|
| 730 |
+
"loss": 1.1016,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.52,
|
| 735 |
+
"grad_norm": 0.78515625,
|
| 736 |
+
"learning_rate": 0.00033187922140086995,
|
| 737 |
+
"loss": 1.2078,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.525,
|
| 742 |
+
"grad_norm": 0.78515625,
|
| 743 |
+
"learning_rate": 0.00032666828905993247,
|
| 744 |
+
"loss": 1.2031,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.53,
|
| 749 |
+
"grad_norm": 0.890625,
|
| 750 |
+
"learning_rate": 0.00032144923329980576,
|
| 751 |
+
"loss": 1.2043,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.535,
|
| 756 |
+
"grad_norm": 0.67578125,
|
| 757 |
+
"learning_rate": 0.00031622364389543266,
|
| 758 |
+
"loss": 1.2125,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.54,
|
| 763 |
+
"grad_norm": 0.9375,
|
| 764 |
+
"learning_rate": 0.00031099311261196687,
|
| 765 |
+
"loss": 1.0711,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.545,
|
| 770 |
+
"grad_norm": 0.60546875,
|
| 771 |
+
"learning_rate": 0.00030575923271990694,
|
| 772 |
+
"loss": 1.1023,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.55,
|
| 777 |
+
"grad_norm": 0.67578125,
|
| 778 |
+
"learning_rate": 0.0003005235985097695,
|
| 779 |
+
"loss": 1.0906,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.555,
|
| 784 |
+
"grad_norm": 0.69921875,
|
| 785 |
+
"learning_rate": 0.00029528780480645383,
|
| 786 |
+
"loss": 1.0621,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.56,
|
| 791 |
+
"grad_norm": 0.7578125,
|
| 792 |
+
"learning_rate": 0.00029005344648344215,
|
| 793 |
+
"loss": 0.9961,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.565,
|
| 798 |
+
"grad_norm": 0.5390625,
|
| 799 |
+
"learning_rate": 0.000284822117976986,
|
| 800 |
+
"loss": 1.1164,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.57,
|
| 805 |
+
"grad_norm": 0.7734375,
|
| 806 |
+
"learning_rate": 0.0002795954128004256,
|
| 807 |
+
"loss": 1.1793,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.575,
|
| 812 |
+
"grad_norm": 0.72265625,
|
| 813 |
+
"learning_rate": 0.00027437492305878975,
|
| 814 |
+
"loss": 1.05,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.58,
|
| 819 |
+
"grad_norm": 0.53125,
|
| 820 |
+
"learning_rate": 0.0002691622389638259,
|
| 821 |
+
"loss": 1.0242,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.585,
|
| 826 |
+
"grad_norm": 0.7421875,
|
| 827 |
+
"learning_rate": 0.00026395894834960583,
|
| 828 |
+
"loss": 1.0246,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.59,
|
| 833 |
+
"grad_norm": 0.6015625,
|
| 834 |
+
"learning_rate": 0.000258766636188856,
|
| 835 |
+
"loss": 1.025,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.595,
|
| 840 |
+
"grad_norm": 0.6796875,
|
| 841 |
+
"learning_rate": 0.00025358688411015963,
|
| 842 |
+
"loss": 1.0816,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.6,
|
| 847 |
+
"grad_norm": 0.71875,
|
| 848 |
+
"learning_rate": 0.00024842126991617705,
|
| 849 |
+
"loss": 1.0848,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.605,
|
| 854 |
+
"grad_norm": 0.703125,
|
| 855 |
+
"learning_rate": 0.00024327136710303255,
|
| 856 |
+
"loss": 1.0914,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.61,
|
| 861 |
+
"grad_norm": 0.6328125,
|
| 862 |
+
"learning_rate": 0.0002381387443810111,
|
| 863 |
+
"loss": 1.0664,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.615,
|
| 868 |
+
"grad_norm": 0.64453125,
|
| 869 |
+
"learning_rate": 0.0002330249651967146,
|
| 870 |
+
"loss": 1.0469,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.62,
|
| 875 |
+
"grad_norm": 0.6640625,
|
| 876 |
+
"learning_rate": 0.00022793158725682087,
|
| 877 |
+
"loss": 0.9848,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.625,
|
| 882 |
+
"grad_norm": 0.6015625,
|
| 883 |
+
"learning_rate": 0.00022286016205359119,
|
| 884 |
+
"loss": 1.0141,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.63,
|
| 889 |
+
"grad_norm": 0.671875,
|
| 890 |
+
"learning_rate": 0.00021781223439227025,
|
| 891 |
+
"loss": 1.0012,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.635,
|
| 896 |
+
"grad_norm": 0.5859375,
|
| 897 |
+
"learning_rate": 0.00021278934192052421,
|
| 898 |
+
"loss": 0.9977,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.64,
|
| 903 |
+
"grad_norm": 0.625,
|
| 904 |
+
"learning_rate": 0.00020779301466005787,
|
| 905 |
+
"loss": 0.9699,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.645,
|
| 910 |
+
"grad_norm": 0.53515625,
|
| 911 |
+
"learning_rate": 0.00020282477454055522,
|
| 912 |
+
"loss": 1.0684,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.65,
|
| 917 |
+
"grad_norm": 0.5234375,
|
| 918 |
+
"learning_rate": 0.000197886134936085,
|
| 919 |
+
"loss": 0.9832,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.655,
|
| 924 |
+
"grad_norm": 0.58203125,
|
| 925 |
+
"learning_rate": 0.00019297860020411238,
|
| 926 |
+
"loss": 0.9801,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.66,
|
| 931 |
+
"grad_norm": 0.6484375,
|
| 932 |
+
"learning_rate": 0.00018810366522725727,
|
| 933 |
+
"loss": 1.0617,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.665,
|
| 938 |
+
"grad_norm": 0.609375,
|
| 939 |
+
"learning_rate": 0.00018326281495793814,
|
| 940 |
+
"loss": 0.9375,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.67,
|
| 945 |
+
"grad_norm": 0.6015625,
|
| 946 |
+
"learning_rate": 0.00017845752396604124,
|
| 947 |
+
"loss": 0.95,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.675,
|
| 952 |
+
"grad_norm": 0.59375,
|
| 953 |
+
"learning_rate": 0.0001736892559897527,
|
| 954 |
+
"loss": 0.9516,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.68,
|
| 959 |
+
"grad_norm": 0.6875,
|
| 960 |
+
"learning_rate": 0.00016895946348968938,
|
| 961 |
+
"loss": 1.007,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.685,
|
| 966 |
+
"grad_norm": 0.5390625,
|
| 967 |
+
"learning_rate": 0.00016426958720646516,
|
| 968 |
+
"loss": 0.948,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.69,
|
| 973 |
+
"grad_norm": 0.59375,
|
| 974 |
+
"learning_rate": 0.000159621055721828,
|
| 975 |
+
"loss": 0.9258,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.695,
|
| 980 |
+
"grad_norm": 0.61328125,
|
| 981 |
+
"learning_rate": 0.00015501528502349926,
|
| 982 |
+
"loss": 0.9535,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.7,
|
| 987 |
+
"grad_norm": 0.5,
|
| 988 |
+
"learning_rate": 0.00015045367807385094,
|
| 989 |
+
"loss": 0.9633,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.705,
|
| 994 |
+
"grad_norm": 0.578125,
|
| 995 |
+
"learning_rate": 0.00014593762438254904,
|
| 996 |
+
"loss": 0.9105,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.71,
|
| 1001 |
+
"grad_norm": 0.5859375,
|
| 1002 |
+
"learning_rate": 0.00014146849958329588,
|
| 1003 |
+
"loss": 0.9078,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.715,
|
| 1008 |
+
"grad_norm": 0.72265625,
|
| 1009 |
+
"learning_rate": 0.00013704766501479877,
|
| 1010 |
+
"loss": 0.9023,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.72,
|
| 1015 |
+
"grad_norm": 0.474609375,
|
| 1016 |
+
"learning_rate": 0.00013267646730609297,
|
| 1017 |
+
"loss": 0.893,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.725,
|
| 1022 |
+
"grad_norm": 0.5078125,
|
| 1023 |
+
"learning_rate": 0.00012835623796634519,
|
| 1024 |
+
"loss": 0.8297,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.73,
|
| 1029 |
+
"grad_norm": 0.54296875,
|
| 1030 |
+
"learning_rate": 0.00012408829297926317,
|
| 1031 |
+
"loss": 0.8469,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.735,
|
| 1036 |
+
"grad_norm": 0.640625,
|
| 1037 |
+
"learning_rate": 0.00011987393240223482,
|
| 1038 |
+
"loss": 0.8512,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.74,
|
| 1043 |
+
"grad_norm": 0.55859375,
|
| 1044 |
+
"learning_rate": 0.00011571443997031701,
|
| 1045 |
+
"loss": 0.8719,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.745,
|
| 1050 |
+
"grad_norm": 0.75390625,
|
| 1051 |
+
"learning_rate": 0.00011161108270519865,
|
| 1052 |
+
"loss": 0.816,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.75,
|
| 1057 |
+
"grad_norm": 0.6953125,
|
| 1058 |
+
"learning_rate": 0.00010756511052925262,
|
| 1059 |
+
"loss": 0.877,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.755,
|
| 1064 |
+
"grad_norm": 0.60546875,
|
| 1065 |
+
"learning_rate": 0.00010357775588479807,
|
| 1066 |
+
"loss": 0.8664,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.76,
|
| 1071 |
+
"grad_norm": 0.578125,
|
| 1072 |
+
"learning_rate": 9.965023335868605e-05,
|
| 1073 |
+
"loss": 0.859,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.765,
|
| 1078 |
+
"grad_norm": 0.58203125,
|
| 1079 |
+
"learning_rate": 9.578373931232465e-05,
|
| 1080 |
+
"loss": 0.9168,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.77,
|
| 1085 |
+
"grad_norm": 0.5859375,
|
| 1086 |
+
"learning_rate": 9.197945151725606e-05,
|
| 1087 |
+
"loss": 0.9133,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.775,
|
| 1092 |
+
"grad_norm": 0.61328125,
|
| 1093 |
+
"learning_rate": 8.823852879639569e-05,
|
| 1094 |
+
"loss": 0.9012,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.78,
|
| 1099 |
+
"grad_norm": 0.54296875,
|
| 1100 |
+
"learning_rate": 8.456211067104338e-05,
|
| 1101 |
+
"loss": 0.8445,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.785,
|
| 1106 |
+
"grad_norm": 0.67578125,
|
| 1107 |
+
"learning_rate": 8.095131701377427e-05,
|
| 1108 |
+
"loss": 0.8367,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.79,
|
| 1113 |
+
"grad_norm": 0.640625,
|
| 1114 |
+
"learning_rate": 7.74072477073151e-05,
|
| 1115 |
+
"loss": 0.8297,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.795,
|
| 1120 |
+
"grad_norm": 0.484375,
|
| 1121 |
+
"learning_rate": 7.393098230950868e-05,
|
| 1122 |
+
"loss": 0.7918,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.8,
|
| 1127 |
+
"grad_norm": 0.546875,
|
| 1128 |
+
"learning_rate": 7.052357972447047e-05,
|
| 1129 |
+
"loss": 0.8426,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.805,
|
| 1134 |
+
"grad_norm": 0.51171875,
|
| 1135 |
+
"learning_rate": 6.718607788003618e-05,
|
| 1136 |
+
"loss": 0.8117,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.81,
|
| 1141 |
+
"grad_norm": 0.51171875,
|
| 1142 |
+
"learning_rate": 6.391949341159882e-05,
|
| 1143 |
+
"loss": 0.8113,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.815,
|
| 1148 |
+
"grad_norm": 0.6484375,
|
| 1149 |
+
"learning_rate": 6.07248213524315e-05,
|
| 1150 |
+
"loss": 0.8281,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.82,
|
| 1155 |
+
"grad_norm": 0.52734375,
|
| 1156 |
+
"learning_rate": 5.760303483059091e-05,
|
| 1157 |
+
"loss": 0.8152,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.825,
|
| 1162 |
+
"grad_norm": 0.5703125,
|
| 1163 |
+
"learning_rate": 5.455508477249291e-05,
|
| 1164 |
+
"loss": 0.8145,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.83,
|
| 1169 |
+
"grad_norm": 0.5546875,
|
| 1170 |
+
"learning_rate": 5.1581899613251676e-05,
|
| 1171 |
+
"loss": 0.8418,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.835,
|
| 1176 |
+
"grad_norm": 0.52734375,
|
| 1177 |
+
"learning_rate": 4.868438501386838e-05,
|
| 1178 |
+
"loss": 0.7613,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.84,
|
| 1183 |
+
"grad_norm": 0.50390625,
|
| 1184 |
+
"learning_rate": 4.586342358535892e-05,
|
| 1185 |
+
"loss": 0.8691,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.845,
|
| 1190 |
+
"grad_norm": 0.44921875,
|
| 1191 |
+
"learning_rate": 4.311987461990154e-05,
|
| 1192 |
+
"loss": 0.802,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.85,
|
| 1197 |
+
"grad_norm": 0.54296875,
|
| 1198 |
+
"learning_rate": 4.045457382908871e-05,
|
| 1199 |
+
"loss": 0.802,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.855,
|
| 1204 |
+
"grad_norm": 0.56640625,
|
| 1205 |
+
"learning_rate": 3.786833308936044e-05,
|
| 1206 |
+
"loss": 0.7984,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.86,
|
| 1211 |
+
"grad_norm": 0.5546875,
|
| 1212 |
+
"learning_rate": 3.53619401946997e-05,
|
| 1213 |
+
"loss": 0.7684,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.865,
|
| 1218 |
+
"grad_norm": 0.5078125,
|
| 1219 |
+
"learning_rate": 3.2936158616662046e-05,
|
| 1220 |
+
"loss": 0.8191,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.87,
|
| 1225 |
+
"grad_norm": 0.5703125,
|
| 1226 |
+
"learning_rate": 3.0591727271815334e-05,
|
| 1227 |
+
"loss": 0.7688,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.875,
|
| 1232 |
+
"grad_norm": 0.54296875,
|
| 1233 |
+
"learning_rate": 2.8329360296658176e-05,
|
| 1234 |
+
"loss": 0.816,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.88,
|
| 1239 |
+
"grad_norm": 0.65234375,
|
| 1240 |
+
"learning_rate": 2.6149746830087183e-05,
|
| 1241 |
+
"loss": 0.8234,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.885,
|
| 1246 |
+
"grad_norm": 0.54296875,
|
| 1247 |
+
"learning_rate": 2.4053550803478696e-05,
|
| 1248 |
+
"loss": 0.7695,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.89,
|
| 1253 |
+
"grad_norm": 0.453125,
|
| 1254 |
+
"learning_rate": 2.204141073844883e-05,
|
| 1255 |
+
"loss": 0.8129,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.895,
|
| 1260 |
+
"grad_norm": 0.53125,
|
| 1261 |
+
"learning_rate": 2.011393955235332e-05,
|
| 1262 |
+
"loss": 0.7422,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.9,
|
| 1267 |
+
"grad_norm": 0.5625,
|
| 1268 |
+
"learning_rate": 1.827172437158727e-05,
|
| 1269 |
+
"loss": 0.7527,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.905,
|
| 1274 |
+
"grad_norm": 0.515625,
|
| 1275 |
+
"learning_rate": 1.6515326352740778e-05,
|
| 1276 |
+
"loss": 0.766,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.91,
|
| 1281 |
+
"grad_norm": 0.470703125,
|
| 1282 |
+
"learning_rate": 1.4845280511664892e-05,
|
| 1283 |
+
"loss": 0.7336,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.915,
|
| 1288 |
+
"grad_norm": 0.515625,
|
| 1289 |
+
"learning_rate": 1.3262095560500962e-05,
|
| 1290 |
+
"loss": 0.7434,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.92,
|
| 1295 |
+
"grad_norm": 0.53515625,
|
| 1296 |
+
"learning_rate": 1.1766253752721743e-05,
|
| 1297 |
+
"loss": 0.7625,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.925,
|
| 1302 |
+
"grad_norm": 0.7421875,
|
| 1303 |
+
"learning_rate": 1.0358210736232509e-05,
|
| 1304 |
+
"loss": 0.8273,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.93,
|
| 1309 |
+
"grad_norm": 0.431640625,
|
| 1310 |
+
"learning_rate": 9.038395414575972e-06,
|
| 1311 |
+
"loss": 0.7715,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.935,
|
| 1316 |
+
"grad_norm": 0.5390625,
|
| 1317 |
+
"learning_rate": 7.807209816284532e-06,
|
| 1318 |
+
"loss": 0.7379,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.94,
|
| 1323 |
+
"grad_norm": 0.51953125,
|
| 1324 |
+
"learning_rate": 6.6650289724181295e-06,
|
| 1325 |
+
"loss": 0.7078,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.945,
|
| 1330 |
+
"grad_norm": 0.53515625,
|
| 1331 |
+
"learning_rate": 5.6122008023264604e-06,
|
| 1332 |
+
"loss": 0.7301,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.95,
|
| 1337 |
+
"grad_norm": 0.60546875,
|
| 1338 |
+
"learning_rate": 4.649046007669022e-06,
|
| 1339 |
+
"loss": 0.7723,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.955,
|
| 1344 |
+
"grad_norm": 0.494140625,
|
| 1345 |
+
"learning_rate": 3.7758579747265814e-06,
|
| 1346 |
+
"loss": 0.7762,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.96,
|
| 1351 |
+
"grad_norm": 0.578125,
|
| 1352 |
+
"learning_rate": 2.9929026850327387e-06,
|
| 1353 |
+
"loss": 0.741,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.965,
|
| 1358 |
+
"grad_norm": 0.5703125,
|
| 1359 |
+
"learning_rate": 2.3004186343533958e-06,
|
| 1360 |
+
"loss": 0.7145,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.97,
|
| 1365 |
+
"grad_norm": 0.578125,
|
| 1366 |
+
"learning_rate": 1.6986167600386069e-06,
|
| 1367 |
+
"loss": 0.7766,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.975,
|
| 1372 |
+
"grad_norm": 0.50390625,
|
| 1373 |
+
"learning_rate": 1.18768037676914e-06,
|
| 1374 |
+
"loss": 0.7336,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.98,
|
| 1379 |
+
"grad_norm": 0.546875,
|
| 1380 |
+
"learning_rate": 7.677651207168123e-07,
|
| 1381 |
+
"loss": 0.7551,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.985,
|
| 1386 |
+
"grad_norm": 0.52734375,
|
| 1387 |
+
"learning_rate": 4.3899890213647817e-07,
|
| 1388 |
+
"loss": 0.7512,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.99,
|
| 1393 |
+
"grad_norm": 0.51953125,
|
| 1394 |
+
"learning_rate": 2.0148186640313034e-07,
|
| 1395 |
+
"loss": 0.7293,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.995,
|
| 1400 |
+
"grad_norm": 0.466796875,
|
| 1401 |
+
"learning_rate": 5.528636350673466e-08,
|
| 1402 |
+
"loss": 0.7145,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 1.0,
|
| 1407 |
+
"grad_norm": 0.59375,
|
| 1408 |
+
"learning_rate": 4.569260136921826e-10,
|
| 1409 |
+
"loss": 0.7605,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
}
|
| 1412 |
+
],
|
| 1413 |
+
"logging_steps": 10,
|
| 1414 |
+
"max_steps": 2000,
|
| 1415 |
+
"num_input_tokens_seen": 0,
|
| 1416 |
+
"num_train_epochs": 9223372036854775807,
|
| 1417 |
+
"save_steps": 2000,
|
| 1418 |
+
"stateful_callbacks": {
|
| 1419 |
+
"TrainerControl": {
|
| 1420 |
+
"args": {
|
| 1421 |
+
"should_epoch_stop": false,
|
| 1422 |
+
"should_evaluate": false,
|
| 1423 |
+
"should_log": false,
|
| 1424 |
+
"should_save": true,
|
| 1425 |
+
"should_training_stop": true
|
| 1426 |
+
},
|
| 1427 |
+
"attributes": {}
|
| 1428 |
+
}
|
| 1429 |
+
},
|
| 1430 |
+
"total_flos": 2.5153945731072e+17,
|
| 1431 |
+
"train_batch_size": 32,
|
| 1432 |
+
"trial_name": null,
|
| 1433 |
+
"trial_params": null
|
| 1434 |
+
}
|
checkpoint-2000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a7eccf6759380445fee667859acd5c1529bad15c02c31c039ace615acceb79f
|
| 3 |
+
size 5368
|