Auto upload zain 2026-08-12T23:26:11.331277
Browse files- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/config.json +36 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/model.safetensors +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/optimizer.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/rng_state.pth +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/scheduler.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/tokenizer.json +0 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/tokenizer_config.json +13 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/trainer_state.json +839 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/training_args.bin +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/config.json +36 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/model.safetensors +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/optimizer.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/rng_state.pth +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/scheduler.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/tokenizer.json +0 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/tokenizer_config.json +13 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/trainer_state.json +874 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/training_args.bin +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/config.json +36 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/model.safetensors +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/optimizer.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/rng_state.pth +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/scheduler.pt +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/tokenizer.json +0 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/tokenizer_config.json +13 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/trainer_state.json +925 -0
- zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/training_args.bin +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/config.json +36 -0
- zain/Activation/out/glu-situglu_low-100L_run/model.safetensors +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/tokenizer.json +0 -0
- zain/Activation/out/glu-situglu_low-100L_run/tokenizer_config.json +13 -0
- zain/Activation/out/glu-situglu_low-100L_run/training_args.bin +3 -0
- zain/Activation/out/glu-situglu_low-100L_run/training_log.jsonl +18 -0
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu_low",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 100,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.16.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096,
|
| 35 |
+
"waleed_beta": 10.0
|
| 36 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e80bb345310a0a0d39ff467b5609052d4077579b84dc3d2e12d86641493096a6
|
| 3 |
+
size 33967272
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:922f74421cabb5144e418882b5bfa50a4bc877f042bef6c707e3de32fa377ff3
|
| 3 |
+
size 68504996
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
|
| 3 |
+
size 14244
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b9bcfc4abc1cd7f19c4260bd52451981a53bf8db4a664a25c46ab7065952dd0
|
| 3 |
+
size 1064
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/trainer_state.json
ADDED
|
@@ -0,0 +1,839 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.15503875968992248,
|
| 6 |
+
"eval_steps": 2498,
|
| 7 |
+
"global_step": 2300,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0013481631277384564,
|
| 14 |
+
"grad_norm": 2.078125,
|
| 15 |
+
"learning_rate": 2.66e-05,
|
| 16 |
+
"loss": 8.299667358398438,
|
| 17 |
+
"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002696326255476913,
|
| 21 |
+
"grad_norm": 1.3515625,
|
| 22 |
+
"learning_rate": 5.46e-05,
|
| 23 |
+
"loss": 8.047861480712891,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.004044489383215369,
|
| 28 |
+
"grad_norm": 1.2734375,
|
| 29 |
+
"learning_rate": 8.259999999999999e-05,
|
| 30 |
+
"loss": 7.838032531738281,
|
| 31 |
+
"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.005392652510953826,
|
| 35 |
+
"grad_norm": 1.265625,
|
| 36 |
+
"learning_rate": 0.0001106,
|
| 37 |
+
"loss": 7.572964477539062,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006740815638692282,
|
| 42 |
+
"grad_norm": 1.1953125,
|
| 43 |
+
"learning_rate": 0.0001386,
|
| 44 |
+
"loss": 7.233274841308594,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.008088978766430738,
|
| 49 |
+
"grad_norm": 1.1328125,
|
| 50 |
+
"learning_rate": 0.00016659999999999998,
|
| 51 |
+
"loss": 6.860704803466797,
|
| 52 |
+
"step": 120
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.009437141894169195,
|
| 56 |
+
"grad_norm": 0.94921875,
|
| 57 |
+
"learning_rate": 0.00019460000000000001,
|
| 58 |
+
"loss": 6.517856597900391,
|
| 59 |
+
"step": 140
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.010785305021907651,
|
| 63 |
+
"grad_norm": 0.8046875,
|
| 64 |
+
"learning_rate": 0.0002226,
|
| 65 |
+
"loss": 6.239397811889648,
|
| 66 |
+
"step": 160
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.012133468149646108,
|
| 70 |
+
"grad_norm": 0.65234375,
|
| 71 |
+
"learning_rate": 0.00025059999999999997,
|
| 72 |
+
"loss": 6.039968109130859,
|
| 73 |
+
"step": 180
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.013481631277384564,
|
| 77 |
+
"grad_norm": 0.5625,
|
| 78 |
+
"learning_rate": 0.0002786,
|
| 79 |
+
"loss": 5.863864517211914,
|
| 80 |
+
"step": 200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.01482979440512302,
|
| 84 |
+
"grad_norm": 0.67578125,
|
| 85 |
+
"learning_rate": 0.00030659999999999997,
|
| 86 |
+
"loss": 5.679952239990234,
|
| 87 |
+
"step": 220
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.016177957532861477,
|
| 91 |
+
"grad_norm": 1.484375,
|
| 92 |
+
"learning_rate": 0.0003346,
|
| 93 |
+
"loss": 5.470568084716797,
|
| 94 |
+
"step": 240
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.01752612066059993,
|
| 98 |
+
"grad_norm": 1.9765625,
|
| 99 |
+
"learning_rate": 0.00036260000000000003,
|
| 100 |
+
"loss": 5.266762542724609,
|
| 101 |
+
"step": 260
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.01887428378833839,
|
| 105 |
+
"grad_norm": 0.6015625,
|
| 106 |
+
"learning_rate": 0.0003906,
|
| 107 |
+
"loss": 5.04127197265625,
|
| 108 |
+
"step": 280
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.020222446916076844,
|
| 112 |
+
"grad_norm": 1.0859375,
|
| 113 |
+
"learning_rate": 0.0004186,
|
| 114 |
+
"loss": 4.803184509277344,
|
| 115 |
+
"step": 300
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.021570610043815303,
|
| 119 |
+
"grad_norm": 1.15625,
|
| 120 |
+
"learning_rate": 0.0004466,
|
| 121 |
+
"loss": 4.589862823486328,
|
| 122 |
+
"step": 320
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.022918773171553757,
|
| 126 |
+
"grad_norm": 0.6953125,
|
| 127 |
+
"learning_rate": 0.00047460000000000004,
|
| 128 |
+
"loss": 4.416217803955078,
|
| 129 |
+
"step": 340
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.024266936299292215,
|
| 133 |
+
"grad_norm": 0.8046875,
|
| 134 |
+
"learning_rate": 0.0005026,
|
| 135 |
+
"loss": 4.270945739746094,
|
| 136 |
+
"step": 360
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.02561509942703067,
|
| 140 |
+
"grad_norm": 0.75,
|
| 141 |
+
"learning_rate": 0.0005306,
|
| 142 |
+
"loss": 4.125864028930664,
|
| 143 |
+
"step": 380
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.026963262554769128,
|
| 147 |
+
"grad_norm": 0.5625,
|
| 148 |
+
"learning_rate": 0.0005586,
|
| 149 |
+
"loss": 3.992333984375,
|
| 150 |
+
"step": 400
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.028311425682507583,
|
| 154 |
+
"grad_norm": 0.53515625,
|
| 155 |
+
"learning_rate": 0.0005866,
|
| 156 |
+
"loss": 3.8864391326904295,
|
| 157 |
+
"step": 420
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.02965958881024604,
|
| 161 |
+
"grad_norm": 0.86328125,
|
| 162 |
+
"learning_rate": 0.0006146,
|
| 163 |
+
"loss": 3.819641876220703,
|
| 164 |
+
"step": 440
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.031007751937984496,
|
| 168 |
+
"grad_norm": 0.7109375,
|
| 169 |
+
"learning_rate": 0.0006426,
|
| 170 |
+
"loss": 3.7153347015380858,
|
| 171 |
+
"step": 460
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.032355915065722954,
|
| 175 |
+
"grad_norm": 0.53515625,
|
| 176 |
+
"learning_rate": 0.0006705999999999999,
|
| 177 |
+
"loss": 3.6391063690185548,
|
| 178 |
+
"step": 480
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.03370407819346141,
|
| 182 |
+
"grad_norm": 0.59765625,
|
| 183 |
+
"learning_rate": 0.0006986,
|
| 184 |
+
"loss": 3.5594459533691407,
|
| 185 |
+
"step": 500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.03505224132119986,
|
| 189 |
+
"grad_norm": 0.4296875,
|
| 190 |
+
"learning_rate": 0.0007,
|
| 191 |
+
"loss": 3.493515396118164,
|
| 192 |
+
"step": 520
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.03640040444893832,
|
| 196 |
+
"grad_norm": 0.640625,
|
| 197 |
+
"learning_rate": 0.0007,
|
| 198 |
+
"loss": 3.41654052734375,
|
| 199 |
+
"step": 540
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.03774856757667678,
|
| 203 |
+
"grad_norm": 0.484375,
|
| 204 |
+
"learning_rate": 0.0007,
|
| 205 |
+
"loss": 3.366413879394531,
|
| 206 |
+
"step": 560
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.03909673070441524,
|
| 210 |
+
"grad_norm": 0.423828125,
|
| 211 |
+
"learning_rate": 0.0007,
|
| 212 |
+
"loss": 3.3078380584716798,
|
| 213 |
+
"step": 580
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.04044489383215369,
|
| 217 |
+
"grad_norm": 0.423828125,
|
| 218 |
+
"learning_rate": 0.0007,
|
| 219 |
+
"loss": 3.2723438262939455,
|
| 220 |
+
"step": 600
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.04179305695989215,
|
| 224 |
+
"grad_norm": 0.431640625,
|
| 225 |
+
"learning_rate": 0.0007,
|
| 226 |
+
"loss": 3.2081642150878906,
|
| 227 |
+
"step": 620
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.043141220087630605,
|
| 231 |
+
"grad_norm": 0.44921875,
|
| 232 |
+
"learning_rate": 0.0007,
|
| 233 |
+
"loss": 3.1861698150634767,
|
| 234 |
+
"step": 640
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.044489383215369056,
|
| 238 |
+
"grad_norm": 0.40625,
|
| 239 |
+
"learning_rate": 0.0007,
|
| 240 |
+
"loss": 3.126705360412598,
|
| 241 |
+
"step": 660
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.045837546343107514,
|
| 245 |
+
"grad_norm": 0.423828125,
|
| 246 |
+
"learning_rate": 0.0007,
|
| 247 |
+
"loss": 3.1009654998779297,
|
| 248 |
+
"step": 680
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.04718570947084597,
|
| 252 |
+
"grad_norm": 0.41015625,
|
| 253 |
+
"learning_rate": 0.0007,
|
| 254 |
+
"loss": 3.0569204330444335,
|
| 255 |
+
"step": 700
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.04853387259858443,
|
| 259 |
+
"grad_norm": 0.390625,
|
| 260 |
+
"learning_rate": 0.0007,
|
| 261 |
+
"loss": 3.0219058990478516,
|
| 262 |
+
"step": 720
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.04988203572632288,
|
| 266 |
+
"grad_norm": 0.447265625,
|
| 267 |
+
"learning_rate": 0.0007,
|
| 268 |
+
"loss": 2.9834646224975585,
|
| 269 |
+
"step": 740
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.05123019885406134,
|
| 273 |
+
"grad_norm": 0.39453125,
|
| 274 |
+
"learning_rate": 0.0007,
|
| 275 |
+
"loss": 2.9665781021118165,
|
| 276 |
+
"step": 760
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.0525783619817998,
|
| 280 |
+
"grad_norm": 0.43359375,
|
| 281 |
+
"learning_rate": 0.0007,
|
| 282 |
+
"loss": 2.9737390518188476,
|
| 283 |
+
"step": 780
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.053926525109538256,
|
| 287 |
+
"grad_norm": 0.41015625,
|
| 288 |
+
"learning_rate": 0.0007,
|
| 289 |
+
"loss": 2.9195796966552736,
|
| 290 |
+
"step": 800
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.05527468823727671,
|
| 294 |
+
"grad_norm": 0.41015625,
|
| 295 |
+
"learning_rate": 0.0007,
|
| 296 |
+
"loss": 2.9032770156860352,
|
| 297 |
+
"step": 820
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.056622851365015166,
|
| 301 |
+
"grad_norm": 0.4296875,
|
| 302 |
+
"learning_rate": 0.0007,
|
| 303 |
+
"loss": 2.8703426361083983,
|
| 304 |
+
"step": 840
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.057971014492753624,
|
| 308 |
+
"grad_norm": 0.384765625,
|
| 309 |
+
"learning_rate": 0.0007,
|
| 310 |
+
"loss": 2.8253679275512695,
|
| 311 |
+
"step": 860
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.05931917762049208,
|
| 315 |
+
"grad_norm": 0.390625,
|
| 316 |
+
"learning_rate": 0.0007,
|
| 317 |
+
"loss": 2.802602195739746,
|
| 318 |
+
"step": 880
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.06066734074823053,
|
| 322 |
+
"grad_norm": 0.40625,
|
| 323 |
+
"learning_rate": 0.0007,
|
| 324 |
+
"loss": 2.7884506225585937,
|
| 325 |
+
"step": 900
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.06201550387596899,
|
| 329 |
+
"grad_norm": 0.3828125,
|
| 330 |
+
"learning_rate": 0.0007,
|
| 331 |
+
"loss": 2.7588369369506838,
|
| 332 |
+
"step": 920
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.06336366700370745,
|
| 336 |
+
"grad_norm": 0.41796875,
|
| 337 |
+
"learning_rate": 0.0007,
|
| 338 |
+
"loss": 2.7435585021972657,
|
| 339 |
+
"step": 940
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.06471183013144591,
|
| 343 |
+
"grad_norm": 0.44921875,
|
| 344 |
+
"learning_rate": 0.0007,
|
| 345 |
+
"loss": 2.717236328125,
|
| 346 |
+
"step": 960
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.06605999325918437,
|
| 350 |
+
"grad_norm": 0.373046875,
|
| 351 |
+
"learning_rate": 0.0007,
|
| 352 |
+
"loss": 2.699039268493652,
|
| 353 |
+
"step": 980
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.06740815638692282,
|
| 357 |
+
"grad_norm": 0.41015625,
|
| 358 |
+
"learning_rate": 0.0007,
|
| 359 |
+
"loss": 2.697044563293457,
|
| 360 |
+
"step": 1000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.06875631951466127,
|
| 364 |
+
"grad_norm": 0.361328125,
|
| 365 |
+
"learning_rate": 0.0007,
|
| 366 |
+
"loss": 2.6641401290893554,
|
| 367 |
+
"step": 1020
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.07010448264239973,
|
| 371 |
+
"grad_norm": 0.376953125,
|
| 372 |
+
"learning_rate": 0.0007,
|
| 373 |
+
"loss": 2.6494163513183593,
|
| 374 |
+
"step": 1040
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.07145264577013818,
|
| 378 |
+
"grad_norm": 0.416015625,
|
| 379 |
+
"learning_rate": 0.0007,
|
| 380 |
+
"loss": 2.631260299682617,
|
| 381 |
+
"step": 1060
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.07280080889787664,
|
| 385 |
+
"grad_norm": 0.37890625,
|
| 386 |
+
"learning_rate": 0.0007,
|
| 387 |
+
"loss": 2.612077331542969,
|
| 388 |
+
"step": 1080
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.0741489720256151,
|
| 392 |
+
"grad_norm": 0.40234375,
|
| 393 |
+
"learning_rate": 0.0007,
|
| 394 |
+
"loss": 2.606185722351074,
|
| 395 |
+
"step": 1100
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.07549713515335356,
|
| 399 |
+
"grad_norm": 0.388671875,
|
| 400 |
+
"learning_rate": 0.0007,
|
| 401 |
+
"loss": 2.570285606384277,
|
| 402 |
+
"step": 1120
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.07684529828109202,
|
| 406 |
+
"grad_norm": 0.41796875,
|
| 407 |
+
"learning_rate": 0.0007,
|
| 408 |
+
"loss": 2.557082176208496,
|
| 409 |
+
"step": 1140
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.07819346140883048,
|
| 413 |
+
"grad_norm": 0.37890625,
|
| 414 |
+
"learning_rate": 0.0007,
|
| 415 |
+
"loss": 2.5526586532592774,
|
| 416 |
+
"step": 1160
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.07954162453656892,
|
| 420 |
+
"grad_norm": 0.388671875,
|
| 421 |
+
"learning_rate": 0.0007,
|
| 422 |
+
"loss": 2.547346305847168,
|
| 423 |
+
"step": 1180
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.08088978766430738,
|
| 427 |
+
"grad_norm": 0.3828125,
|
| 428 |
+
"learning_rate": 0.0007,
|
| 429 |
+
"loss": 2.5366180419921873,
|
| 430 |
+
"step": 1200
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.08223795079204584,
|
| 434 |
+
"grad_norm": 0.359375,
|
| 435 |
+
"learning_rate": 0.0007,
|
| 436 |
+
"loss": 2.5206745147705076,
|
| 437 |
+
"step": 1220
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0835861139197843,
|
| 441 |
+
"grad_norm": 0.36328125,
|
| 442 |
+
"learning_rate": 0.0007,
|
| 443 |
+
"loss": 2.506051254272461,
|
| 444 |
+
"step": 1240
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.08493427704752275,
|
| 448 |
+
"grad_norm": 0.376953125,
|
| 449 |
+
"learning_rate": 0.0007,
|
| 450 |
+
"loss": 2.494335174560547,
|
| 451 |
+
"step": 1260
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.08628244017526121,
|
| 455 |
+
"grad_norm": 0.384765625,
|
| 456 |
+
"learning_rate": 0.0007,
|
| 457 |
+
"loss": 2.4746730804443358,
|
| 458 |
+
"step": 1280
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.08763060330299967,
|
| 462 |
+
"grad_norm": 0.384765625,
|
| 463 |
+
"learning_rate": 0.0007,
|
| 464 |
+
"loss": 2.4673040390014647,
|
| 465 |
+
"step": 1300
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.08897876643073811,
|
| 469 |
+
"grad_norm": 0.359375,
|
| 470 |
+
"learning_rate": 0.0007,
|
| 471 |
+
"loss": 2.458811950683594,
|
| 472 |
+
"step": 1320
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.09032692955847657,
|
| 476 |
+
"grad_norm": 0.40234375,
|
| 477 |
+
"learning_rate": 0.0007,
|
| 478 |
+
"loss": 2.444304275512695,
|
| 479 |
+
"step": 1340
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.09167509268621503,
|
| 483 |
+
"grad_norm": 0.3984375,
|
| 484 |
+
"learning_rate": 0.0007,
|
| 485 |
+
"loss": 2.4439945220947266,
|
| 486 |
+
"step": 1360
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.09302325581395349,
|
| 490 |
+
"grad_norm": 0.341796875,
|
| 491 |
+
"learning_rate": 0.0007,
|
| 492 |
+
"loss": 2.4202173233032225,
|
| 493 |
+
"step": 1380
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.09437141894169195,
|
| 497 |
+
"grad_norm": 0.36328125,
|
| 498 |
+
"learning_rate": 0.0007,
|
| 499 |
+
"loss": 2.4103469848632812,
|
| 500 |
+
"step": 1400
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0957195820694304,
|
| 504 |
+
"grad_norm": 0.39453125,
|
| 505 |
+
"learning_rate": 0.0007,
|
| 506 |
+
"loss": 2.4228416442871095,
|
| 507 |
+
"step": 1420
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.09706774519716886,
|
| 511 |
+
"grad_norm": 0.3515625,
|
| 512 |
+
"learning_rate": 0.0007,
|
| 513 |
+
"loss": 2.3987619400024416,
|
| 514 |
+
"step": 1440
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.09841590832490732,
|
| 518 |
+
"grad_norm": 0.38671875,
|
| 519 |
+
"learning_rate": 0.0007,
|
| 520 |
+
"loss": 2.3866939544677734,
|
| 521 |
+
"step": 1460
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.09976407145264576,
|
| 525 |
+
"grad_norm": 0.359375,
|
| 526 |
+
"learning_rate": 0.0007,
|
| 527 |
+
"loss": 2.3730697631835938,
|
| 528 |
+
"step": 1480
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.10111223458038422,
|
| 532 |
+
"grad_norm": 0.359375,
|
| 533 |
+
"learning_rate": 0.0007,
|
| 534 |
+
"loss": 2.3593896865844726,
|
| 535 |
+
"step": 1500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.10246039770812268,
|
| 539 |
+
"grad_norm": 0.37890625,
|
| 540 |
+
"learning_rate": 0.0007,
|
| 541 |
+
"loss": 2.362796401977539,
|
| 542 |
+
"step": 1520
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.10380856083586114,
|
| 546 |
+
"grad_norm": 0.3828125,
|
| 547 |
+
"learning_rate": 0.0007,
|
| 548 |
+
"loss": 2.3507095336914063,
|
| 549 |
+
"step": 1540
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.1051567239635996,
|
| 553 |
+
"grad_norm": 0.37890625,
|
| 554 |
+
"learning_rate": 0.0007,
|
| 555 |
+
"loss": 2.339781951904297,
|
| 556 |
+
"step": 1560
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.10650488709133805,
|
| 560 |
+
"grad_norm": 0.353515625,
|
| 561 |
+
"learning_rate": 0.0007,
|
| 562 |
+
"loss": 2.356917953491211,
|
| 563 |
+
"step": 1580
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.10785305021907651,
|
| 567 |
+
"grad_norm": 0.392578125,
|
| 568 |
+
"learning_rate": 0.0007,
|
| 569 |
+
"loss": 2.325514030456543,
|
| 570 |
+
"step": 1600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.10920121334681497,
|
| 574 |
+
"grad_norm": 0.33984375,
|
| 575 |
+
"learning_rate": 0.0007,
|
| 576 |
+
"loss": 2.3245080947875976,
|
| 577 |
+
"step": 1620
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.11054937647455342,
|
| 581 |
+
"grad_norm": 0.349609375,
|
| 582 |
+
"learning_rate": 0.0007,
|
| 583 |
+
"loss": 2.3359960556030273,
|
| 584 |
+
"step": 1640
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.11189753960229187,
|
| 588 |
+
"grad_norm": 0.3359375,
|
| 589 |
+
"learning_rate": 0.0007,
|
| 590 |
+
"loss": 2.3171085357666015,
|
| 591 |
+
"step": 1660
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.11324570273003033,
|
| 595 |
+
"grad_norm": 0.37890625,
|
| 596 |
+
"learning_rate": 0.0007,
|
| 597 |
+
"loss": 2.299543571472168,
|
| 598 |
+
"step": 1680
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.11459386585776879,
|
| 602 |
+
"grad_norm": 0.3515625,
|
| 603 |
+
"learning_rate": 0.0007,
|
| 604 |
+
"loss": 2.309956932067871,
|
| 605 |
+
"step": 1700
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.11594202898550725,
|
| 609 |
+
"grad_norm": 0.3828125,
|
| 610 |
+
"learning_rate": 0.0007,
|
| 611 |
+
"loss": 2.2854846954345702,
|
| 612 |
+
"step": 1720
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.1172901921132457,
|
| 616 |
+
"grad_norm": 0.349609375,
|
| 617 |
+
"learning_rate": 0.0007,
|
| 618 |
+
"loss": 2.2760204315185546,
|
| 619 |
+
"step": 1740
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.11863835524098416,
|
| 623 |
+
"grad_norm": 0.3515625,
|
| 624 |
+
"learning_rate": 0.0007,
|
| 625 |
+
"loss": 2.279789924621582,
|
| 626 |
+
"step": 1760
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.11998651836872262,
|
| 630 |
+
"grad_norm": 0.3671875,
|
| 631 |
+
"learning_rate": 0.0007,
|
| 632 |
+
"loss": 2.2942825317382813,
|
| 633 |
+
"step": 1780
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.12133468149646107,
|
| 637 |
+
"grad_norm": 0.341796875,
|
| 638 |
+
"learning_rate": 0.0007,
|
| 639 |
+
"loss": 2.2891586303710936,
|
| 640 |
+
"step": 1800
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.12268284462419952,
|
| 644 |
+
"grad_norm": 0.3828125,
|
| 645 |
+
"learning_rate": 0.0007,
|
| 646 |
+
"loss": 2.279863166809082,
|
| 647 |
+
"step": 1820
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.12403100775193798,
|
| 651 |
+
"grad_norm": 0.359375,
|
| 652 |
+
"learning_rate": 0.0007,
|
| 653 |
+
"loss": 2.2473472595214843,
|
| 654 |
+
"step": 1840
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.12537917087967643,
|
| 658 |
+
"grad_norm": 0.33984375,
|
| 659 |
+
"learning_rate": 0.0007,
|
| 660 |
+
"loss": 2.248352813720703,
|
| 661 |
+
"step": 1860
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.1267273340074149,
|
| 665 |
+
"grad_norm": 0.322265625,
|
| 666 |
+
"learning_rate": 0.0007,
|
| 667 |
+
"loss": 2.239566612243652,
|
| 668 |
+
"step": 1880
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.12807549713515334,
|
| 672 |
+
"grad_norm": 0.3359375,
|
| 673 |
+
"learning_rate": 0.0007,
|
| 674 |
+
"loss": 2.2460857391357423,
|
| 675 |
+
"step": 1900
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.12942366026289182,
|
| 679 |
+
"grad_norm": 0.345703125,
|
| 680 |
+
"learning_rate": 0.0007,
|
| 681 |
+
"loss": 2.222591209411621,
|
| 682 |
+
"step": 1920
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.13077182339063026,
|
| 686 |
+
"grad_norm": 0.35546875,
|
| 687 |
+
"learning_rate": 0.0007,
|
| 688 |
+
"loss": 2.2339385986328124,
|
| 689 |
+
"step": 1940
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.13211998651836873,
|
| 693 |
+
"grad_norm": 0.337890625,
|
| 694 |
+
"learning_rate": 0.0007,
|
| 695 |
+
"loss": 2.2090906143188476,
|
| 696 |
+
"step": 1960
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.13346814964610718,
|
| 700 |
+
"grad_norm": 0.36328125,
|
| 701 |
+
"learning_rate": 0.0007,
|
| 702 |
+
"loss": 2.2296125411987306,
|
| 703 |
+
"step": 1980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.13481631277384565,
|
| 707 |
+
"grad_norm": 0.345703125,
|
| 708 |
+
"learning_rate": 0.0007,
|
| 709 |
+
"loss": 2.20355110168457,
|
| 710 |
+
"step": 2000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.1361644759015841,
|
| 714 |
+
"grad_norm": 0.34765625,
|
| 715 |
+
"learning_rate": 0.0007,
|
| 716 |
+
"loss": 2.211279296875,
|
| 717 |
+
"step": 2020
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.13751263902932254,
|
| 721 |
+
"grad_norm": 0.37890625,
|
| 722 |
+
"learning_rate": 0.0007,
|
| 723 |
+
"loss": 2.1930706024169924,
|
| 724 |
+
"step": 2040
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.138860802157061,
|
| 728 |
+
"grad_norm": 0.3359375,
|
| 729 |
+
"learning_rate": 0.0007,
|
| 730 |
+
"loss": 2.211184501647949,
|
| 731 |
+
"step": 2060
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.14020896528479945,
|
| 735 |
+
"grad_norm": 0.333984375,
|
| 736 |
+
"learning_rate": 0.0007,
|
| 737 |
+
"loss": 2.1871965408325194,
|
| 738 |
+
"step": 2080
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.14155712841253792,
|
| 742 |
+
"grad_norm": 0.33203125,
|
| 743 |
+
"learning_rate": 0.0007,
|
| 744 |
+
"loss": 2.178455352783203,
|
| 745 |
+
"step": 2100
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.14290529154027637,
|
| 749 |
+
"grad_norm": 0.35546875,
|
| 750 |
+
"learning_rate": 0.0007,
|
| 751 |
+
"loss": 2.186496925354004,
|
| 752 |
+
"step": 2120
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.14425345466801484,
|
| 756 |
+
"grad_norm": 0.341796875,
|
| 757 |
+
"learning_rate": 0.0007,
|
| 758 |
+
"loss": 2.1872365951538084,
|
| 759 |
+
"step": 2140
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.14560161779575329,
|
| 763 |
+
"grad_norm": 0.337890625,
|
| 764 |
+
"learning_rate": 0.0007,
|
| 765 |
+
"loss": 2.1733598709106445,
|
| 766 |
+
"step": 2160
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.14694978092349173,
|
| 770 |
+
"grad_norm": 0.3359375,
|
| 771 |
+
"learning_rate": 0.0007,
|
| 772 |
+
"loss": 2.1814584732055664,
|
| 773 |
+
"step": 2180
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.1482979440512302,
|
| 777 |
+
"grad_norm": 0.328125,
|
| 778 |
+
"learning_rate": 0.0007,
|
| 779 |
+
"loss": 2.157553291320801,
|
| 780 |
+
"step": 2200
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.14964610717896865,
|
| 784 |
+
"grad_norm": 0.341796875,
|
| 785 |
+
"learning_rate": 0.0007,
|
| 786 |
+
"loss": 2.1652835845947265,
|
| 787 |
+
"step": 2220
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.15099427030670712,
|
| 791 |
+
"grad_norm": 0.34375,
|
| 792 |
+
"learning_rate": 0.0007,
|
| 793 |
+
"loss": 2.1730274200439452,
|
| 794 |
+
"step": 2240
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.15234243343444556,
|
| 798 |
+
"grad_norm": 0.353515625,
|
| 799 |
+
"learning_rate": 0.0007,
|
| 800 |
+
"loss": 2.1498680114746094,
|
| 801 |
+
"step": 2260
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.15369059656218403,
|
| 805 |
+
"grad_norm": 0.326171875,
|
| 806 |
+
"learning_rate": 0.0007,
|
| 807 |
+
"loss": 2.1618186950683596,
|
| 808 |
+
"step": 2280
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.15503875968992248,
|
| 812 |
+
"grad_norm": 0.337890625,
|
| 813 |
+
"learning_rate": 0.0007,
|
| 814 |
+
"loss": 2.142350959777832,
|
| 815 |
+
"step": 2300
|
| 816 |
+
}
|
| 817 |
+
],
|
| 818 |
+
"logging_steps": 20,
|
| 819 |
+
"max_steps": 2500,
|
| 820 |
+
"num_input_tokens_seen": 0,
|
| 821 |
+
"num_train_epochs": 1,
|
| 822 |
+
"save_steps": 100,
|
| 823 |
+
"stateful_callbacks": {
|
| 824 |
+
"TrainerControl": {
|
| 825 |
+
"args": {
|
| 826 |
+
"should_epoch_stop": false,
|
| 827 |
+
"should_evaluate": false,
|
| 828 |
+
"should_log": false,
|
| 829 |
+
"should_save": true,
|
| 830 |
+
"should_training_stop": false
|
| 831 |
+
},
|
| 832 |
+
"attributes": {}
|
| 833 |
+
}
|
| 834 |
+
},
|
| 835 |
+
"total_flos": 7420452746035200.0,
|
| 836 |
+
"train_batch_size": 64,
|
| 837 |
+
"trial_name": null,
|
| 838 |
+
"trial_params": null
|
| 839 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2300/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efb8cca2a9ea6ff541b7562ec4e2e31a24b5072ef5136a6523ae9f9c0012caa0
|
| 3 |
+
size 4920
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu_low",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 100,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.16.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096,
|
| 35 |
+
"waleed_beta": 10.0
|
| 36 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8600b8a0c74c737ad96f20f7a55fbf5c7f76d052cf9bbff102242424174336a3
|
| 3 |
+
size 33967272
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cf804408a49a11bc988b20027630b93fe96e9a249fa4d8d91dad83026763de4
|
| 3 |
+
size 68504996
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
|
| 3 |
+
size 14244
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cffe3454608d7821f042822654b62bd9020d78872ebdecde4f22f94320596378
|
| 3 |
+
size 1064
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/trainer_state.json
ADDED
|
@@ -0,0 +1,874 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.16177957532861476,
|
| 6 |
+
"eval_steps": 2498,
|
| 7 |
+
"global_step": 2400,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0013481631277384564,
|
| 14 |
+
"grad_norm": 2.078125,
|
| 15 |
+
"learning_rate": 2.66e-05,
|
| 16 |
+
"loss": 8.299667358398438,
|
| 17 |
+
"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002696326255476913,
|
| 21 |
+
"grad_norm": 1.3515625,
|
| 22 |
+
"learning_rate": 5.46e-05,
|
| 23 |
+
"loss": 8.047861480712891,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.004044489383215369,
|
| 28 |
+
"grad_norm": 1.2734375,
|
| 29 |
+
"learning_rate": 8.259999999999999e-05,
|
| 30 |
+
"loss": 7.838032531738281,
|
| 31 |
+
"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.005392652510953826,
|
| 35 |
+
"grad_norm": 1.265625,
|
| 36 |
+
"learning_rate": 0.0001106,
|
| 37 |
+
"loss": 7.572964477539062,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006740815638692282,
|
| 42 |
+
"grad_norm": 1.1953125,
|
| 43 |
+
"learning_rate": 0.0001386,
|
| 44 |
+
"loss": 7.233274841308594,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.008088978766430738,
|
| 49 |
+
"grad_norm": 1.1328125,
|
| 50 |
+
"learning_rate": 0.00016659999999999998,
|
| 51 |
+
"loss": 6.860704803466797,
|
| 52 |
+
"step": 120
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.009437141894169195,
|
| 56 |
+
"grad_norm": 0.94921875,
|
| 57 |
+
"learning_rate": 0.00019460000000000001,
|
| 58 |
+
"loss": 6.517856597900391,
|
| 59 |
+
"step": 140
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.010785305021907651,
|
| 63 |
+
"grad_norm": 0.8046875,
|
| 64 |
+
"learning_rate": 0.0002226,
|
| 65 |
+
"loss": 6.239397811889648,
|
| 66 |
+
"step": 160
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.012133468149646108,
|
| 70 |
+
"grad_norm": 0.65234375,
|
| 71 |
+
"learning_rate": 0.00025059999999999997,
|
| 72 |
+
"loss": 6.039968109130859,
|
| 73 |
+
"step": 180
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.013481631277384564,
|
| 77 |
+
"grad_norm": 0.5625,
|
| 78 |
+
"learning_rate": 0.0002786,
|
| 79 |
+
"loss": 5.863864517211914,
|
| 80 |
+
"step": 200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.01482979440512302,
|
| 84 |
+
"grad_norm": 0.67578125,
|
| 85 |
+
"learning_rate": 0.00030659999999999997,
|
| 86 |
+
"loss": 5.679952239990234,
|
| 87 |
+
"step": 220
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.016177957532861477,
|
| 91 |
+
"grad_norm": 1.484375,
|
| 92 |
+
"learning_rate": 0.0003346,
|
| 93 |
+
"loss": 5.470568084716797,
|
| 94 |
+
"step": 240
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.01752612066059993,
|
| 98 |
+
"grad_norm": 1.9765625,
|
| 99 |
+
"learning_rate": 0.00036260000000000003,
|
| 100 |
+
"loss": 5.266762542724609,
|
| 101 |
+
"step": 260
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.01887428378833839,
|
| 105 |
+
"grad_norm": 0.6015625,
|
| 106 |
+
"learning_rate": 0.0003906,
|
| 107 |
+
"loss": 5.04127197265625,
|
| 108 |
+
"step": 280
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.020222446916076844,
|
| 112 |
+
"grad_norm": 1.0859375,
|
| 113 |
+
"learning_rate": 0.0004186,
|
| 114 |
+
"loss": 4.803184509277344,
|
| 115 |
+
"step": 300
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.021570610043815303,
|
| 119 |
+
"grad_norm": 1.15625,
|
| 120 |
+
"learning_rate": 0.0004466,
|
| 121 |
+
"loss": 4.589862823486328,
|
| 122 |
+
"step": 320
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.022918773171553757,
|
| 126 |
+
"grad_norm": 0.6953125,
|
| 127 |
+
"learning_rate": 0.00047460000000000004,
|
| 128 |
+
"loss": 4.416217803955078,
|
| 129 |
+
"step": 340
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.024266936299292215,
|
| 133 |
+
"grad_norm": 0.8046875,
|
| 134 |
+
"learning_rate": 0.0005026,
|
| 135 |
+
"loss": 4.270945739746094,
|
| 136 |
+
"step": 360
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.02561509942703067,
|
| 140 |
+
"grad_norm": 0.75,
|
| 141 |
+
"learning_rate": 0.0005306,
|
| 142 |
+
"loss": 4.125864028930664,
|
| 143 |
+
"step": 380
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.026963262554769128,
|
| 147 |
+
"grad_norm": 0.5625,
|
| 148 |
+
"learning_rate": 0.0005586,
|
| 149 |
+
"loss": 3.992333984375,
|
| 150 |
+
"step": 400
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.028311425682507583,
|
| 154 |
+
"grad_norm": 0.53515625,
|
| 155 |
+
"learning_rate": 0.0005866,
|
| 156 |
+
"loss": 3.8864391326904295,
|
| 157 |
+
"step": 420
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.02965958881024604,
|
| 161 |
+
"grad_norm": 0.86328125,
|
| 162 |
+
"learning_rate": 0.0006146,
|
| 163 |
+
"loss": 3.819641876220703,
|
| 164 |
+
"step": 440
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.031007751937984496,
|
| 168 |
+
"grad_norm": 0.7109375,
|
| 169 |
+
"learning_rate": 0.0006426,
|
| 170 |
+
"loss": 3.7153347015380858,
|
| 171 |
+
"step": 460
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.032355915065722954,
|
| 175 |
+
"grad_norm": 0.53515625,
|
| 176 |
+
"learning_rate": 0.0006705999999999999,
|
| 177 |
+
"loss": 3.6391063690185548,
|
| 178 |
+
"step": 480
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.03370407819346141,
|
| 182 |
+
"grad_norm": 0.59765625,
|
| 183 |
+
"learning_rate": 0.0006986,
|
| 184 |
+
"loss": 3.5594459533691407,
|
| 185 |
+
"step": 500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.03505224132119986,
|
| 189 |
+
"grad_norm": 0.4296875,
|
| 190 |
+
"learning_rate": 0.0007,
|
| 191 |
+
"loss": 3.493515396118164,
|
| 192 |
+
"step": 520
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.03640040444893832,
|
| 196 |
+
"grad_norm": 0.640625,
|
| 197 |
+
"learning_rate": 0.0007,
|
| 198 |
+
"loss": 3.41654052734375,
|
| 199 |
+
"step": 540
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.03774856757667678,
|
| 203 |
+
"grad_norm": 0.484375,
|
| 204 |
+
"learning_rate": 0.0007,
|
| 205 |
+
"loss": 3.366413879394531,
|
| 206 |
+
"step": 560
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.03909673070441524,
|
| 210 |
+
"grad_norm": 0.423828125,
|
| 211 |
+
"learning_rate": 0.0007,
|
| 212 |
+
"loss": 3.3078380584716798,
|
| 213 |
+
"step": 580
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.04044489383215369,
|
| 217 |
+
"grad_norm": 0.423828125,
|
| 218 |
+
"learning_rate": 0.0007,
|
| 219 |
+
"loss": 3.2723438262939455,
|
| 220 |
+
"step": 600
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.04179305695989215,
|
| 224 |
+
"grad_norm": 0.431640625,
|
| 225 |
+
"learning_rate": 0.0007,
|
| 226 |
+
"loss": 3.2081642150878906,
|
| 227 |
+
"step": 620
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.043141220087630605,
|
| 231 |
+
"grad_norm": 0.44921875,
|
| 232 |
+
"learning_rate": 0.0007,
|
| 233 |
+
"loss": 3.1861698150634767,
|
| 234 |
+
"step": 640
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.044489383215369056,
|
| 238 |
+
"grad_norm": 0.40625,
|
| 239 |
+
"learning_rate": 0.0007,
|
| 240 |
+
"loss": 3.126705360412598,
|
| 241 |
+
"step": 660
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.045837546343107514,
|
| 245 |
+
"grad_norm": 0.423828125,
|
| 246 |
+
"learning_rate": 0.0007,
|
| 247 |
+
"loss": 3.1009654998779297,
|
| 248 |
+
"step": 680
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.04718570947084597,
|
| 252 |
+
"grad_norm": 0.41015625,
|
| 253 |
+
"learning_rate": 0.0007,
|
| 254 |
+
"loss": 3.0569204330444335,
|
| 255 |
+
"step": 700
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.04853387259858443,
|
| 259 |
+
"grad_norm": 0.390625,
|
| 260 |
+
"learning_rate": 0.0007,
|
| 261 |
+
"loss": 3.0219058990478516,
|
| 262 |
+
"step": 720
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.04988203572632288,
|
| 266 |
+
"grad_norm": 0.447265625,
|
| 267 |
+
"learning_rate": 0.0007,
|
| 268 |
+
"loss": 2.9834646224975585,
|
| 269 |
+
"step": 740
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.05123019885406134,
|
| 273 |
+
"grad_norm": 0.39453125,
|
| 274 |
+
"learning_rate": 0.0007,
|
| 275 |
+
"loss": 2.9665781021118165,
|
| 276 |
+
"step": 760
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.0525783619817998,
|
| 280 |
+
"grad_norm": 0.43359375,
|
| 281 |
+
"learning_rate": 0.0007,
|
| 282 |
+
"loss": 2.9737390518188476,
|
| 283 |
+
"step": 780
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.053926525109538256,
|
| 287 |
+
"grad_norm": 0.41015625,
|
| 288 |
+
"learning_rate": 0.0007,
|
| 289 |
+
"loss": 2.9195796966552736,
|
| 290 |
+
"step": 800
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.05527468823727671,
|
| 294 |
+
"grad_norm": 0.41015625,
|
| 295 |
+
"learning_rate": 0.0007,
|
| 296 |
+
"loss": 2.9032770156860352,
|
| 297 |
+
"step": 820
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.056622851365015166,
|
| 301 |
+
"grad_norm": 0.4296875,
|
| 302 |
+
"learning_rate": 0.0007,
|
| 303 |
+
"loss": 2.8703426361083983,
|
| 304 |
+
"step": 840
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.057971014492753624,
|
| 308 |
+
"grad_norm": 0.384765625,
|
| 309 |
+
"learning_rate": 0.0007,
|
| 310 |
+
"loss": 2.8253679275512695,
|
| 311 |
+
"step": 860
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.05931917762049208,
|
| 315 |
+
"grad_norm": 0.390625,
|
| 316 |
+
"learning_rate": 0.0007,
|
| 317 |
+
"loss": 2.802602195739746,
|
| 318 |
+
"step": 880
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.06066734074823053,
|
| 322 |
+
"grad_norm": 0.40625,
|
| 323 |
+
"learning_rate": 0.0007,
|
| 324 |
+
"loss": 2.7884506225585937,
|
| 325 |
+
"step": 900
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.06201550387596899,
|
| 329 |
+
"grad_norm": 0.3828125,
|
| 330 |
+
"learning_rate": 0.0007,
|
| 331 |
+
"loss": 2.7588369369506838,
|
| 332 |
+
"step": 920
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.06336366700370745,
|
| 336 |
+
"grad_norm": 0.41796875,
|
| 337 |
+
"learning_rate": 0.0007,
|
| 338 |
+
"loss": 2.7435585021972657,
|
| 339 |
+
"step": 940
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.06471183013144591,
|
| 343 |
+
"grad_norm": 0.44921875,
|
| 344 |
+
"learning_rate": 0.0007,
|
| 345 |
+
"loss": 2.717236328125,
|
| 346 |
+
"step": 960
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.06605999325918437,
|
| 350 |
+
"grad_norm": 0.373046875,
|
| 351 |
+
"learning_rate": 0.0007,
|
| 352 |
+
"loss": 2.699039268493652,
|
| 353 |
+
"step": 980
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.06740815638692282,
|
| 357 |
+
"grad_norm": 0.41015625,
|
| 358 |
+
"learning_rate": 0.0007,
|
| 359 |
+
"loss": 2.697044563293457,
|
| 360 |
+
"step": 1000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.06875631951466127,
|
| 364 |
+
"grad_norm": 0.361328125,
|
| 365 |
+
"learning_rate": 0.0007,
|
| 366 |
+
"loss": 2.6641401290893554,
|
| 367 |
+
"step": 1020
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.07010448264239973,
|
| 371 |
+
"grad_norm": 0.376953125,
|
| 372 |
+
"learning_rate": 0.0007,
|
| 373 |
+
"loss": 2.6494163513183593,
|
| 374 |
+
"step": 1040
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.07145264577013818,
|
| 378 |
+
"grad_norm": 0.416015625,
|
| 379 |
+
"learning_rate": 0.0007,
|
| 380 |
+
"loss": 2.631260299682617,
|
| 381 |
+
"step": 1060
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.07280080889787664,
|
| 385 |
+
"grad_norm": 0.37890625,
|
| 386 |
+
"learning_rate": 0.0007,
|
| 387 |
+
"loss": 2.612077331542969,
|
| 388 |
+
"step": 1080
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.0741489720256151,
|
| 392 |
+
"grad_norm": 0.40234375,
|
| 393 |
+
"learning_rate": 0.0007,
|
| 394 |
+
"loss": 2.606185722351074,
|
| 395 |
+
"step": 1100
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.07549713515335356,
|
| 399 |
+
"grad_norm": 0.388671875,
|
| 400 |
+
"learning_rate": 0.0007,
|
| 401 |
+
"loss": 2.570285606384277,
|
| 402 |
+
"step": 1120
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.07684529828109202,
|
| 406 |
+
"grad_norm": 0.41796875,
|
| 407 |
+
"learning_rate": 0.0007,
|
| 408 |
+
"loss": 2.557082176208496,
|
| 409 |
+
"step": 1140
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.07819346140883048,
|
| 413 |
+
"grad_norm": 0.37890625,
|
| 414 |
+
"learning_rate": 0.0007,
|
| 415 |
+
"loss": 2.5526586532592774,
|
| 416 |
+
"step": 1160
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.07954162453656892,
|
| 420 |
+
"grad_norm": 0.388671875,
|
| 421 |
+
"learning_rate": 0.0007,
|
| 422 |
+
"loss": 2.547346305847168,
|
| 423 |
+
"step": 1180
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.08088978766430738,
|
| 427 |
+
"grad_norm": 0.3828125,
|
| 428 |
+
"learning_rate": 0.0007,
|
| 429 |
+
"loss": 2.5366180419921873,
|
| 430 |
+
"step": 1200
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.08223795079204584,
|
| 434 |
+
"grad_norm": 0.359375,
|
| 435 |
+
"learning_rate": 0.0007,
|
| 436 |
+
"loss": 2.5206745147705076,
|
| 437 |
+
"step": 1220
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0835861139197843,
|
| 441 |
+
"grad_norm": 0.36328125,
|
| 442 |
+
"learning_rate": 0.0007,
|
| 443 |
+
"loss": 2.506051254272461,
|
| 444 |
+
"step": 1240
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.08493427704752275,
|
| 448 |
+
"grad_norm": 0.376953125,
|
| 449 |
+
"learning_rate": 0.0007,
|
| 450 |
+
"loss": 2.494335174560547,
|
| 451 |
+
"step": 1260
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.08628244017526121,
|
| 455 |
+
"grad_norm": 0.384765625,
|
| 456 |
+
"learning_rate": 0.0007,
|
| 457 |
+
"loss": 2.4746730804443358,
|
| 458 |
+
"step": 1280
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.08763060330299967,
|
| 462 |
+
"grad_norm": 0.384765625,
|
| 463 |
+
"learning_rate": 0.0007,
|
| 464 |
+
"loss": 2.4673040390014647,
|
| 465 |
+
"step": 1300
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.08897876643073811,
|
| 469 |
+
"grad_norm": 0.359375,
|
| 470 |
+
"learning_rate": 0.0007,
|
| 471 |
+
"loss": 2.458811950683594,
|
| 472 |
+
"step": 1320
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.09032692955847657,
|
| 476 |
+
"grad_norm": 0.40234375,
|
| 477 |
+
"learning_rate": 0.0007,
|
| 478 |
+
"loss": 2.444304275512695,
|
| 479 |
+
"step": 1340
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.09167509268621503,
|
| 483 |
+
"grad_norm": 0.3984375,
|
| 484 |
+
"learning_rate": 0.0007,
|
| 485 |
+
"loss": 2.4439945220947266,
|
| 486 |
+
"step": 1360
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.09302325581395349,
|
| 490 |
+
"grad_norm": 0.341796875,
|
| 491 |
+
"learning_rate": 0.0007,
|
| 492 |
+
"loss": 2.4202173233032225,
|
| 493 |
+
"step": 1380
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.09437141894169195,
|
| 497 |
+
"grad_norm": 0.36328125,
|
| 498 |
+
"learning_rate": 0.0007,
|
| 499 |
+
"loss": 2.4103469848632812,
|
| 500 |
+
"step": 1400
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0957195820694304,
|
| 504 |
+
"grad_norm": 0.39453125,
|
| 505 |
+
"learning_rate": 0.0007,
|
| 506 |
+
"loss": 2.4228416442871095,
|
| 507 |
+
"step": 1420
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.09706774519716886,
|
| 511 |
+
"grad_norm": 0.3515625,
|
| 512 |
+
"learning_rate": 0.0007,
|
| 513 |
+
"loss": 2.3987619400024416,
|
| 514 |
+
"step": 1440
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.09841590832490732,
|
| 518 |
+
"grad_norm": 0.38671875,
|
| 519 |
+
"learning_rate": 0.0007,
|
| 520 |
+
"loss": 2.3866939544677734,
|
| 521 |
+
"step": 1460
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.09976407145264576,
|
| 525 |
+
"grad_norm": 0.359375,
|
| 526 |
+
"learning_rate": 0.0007,
|
| 527 |
+
"loss": 2.3730697631835938,
|
| 528 |
+
"step": 1480
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.10111223458038422,
|
| 532 |
+
"grad_norm": 0.359375,
|
| 533 |
+
"learning_rate": 0.0007,
|
| 534 |
+
"loss": 2.3593896865844726,
|
| 535 |
+
"step": 1500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.10246039770812268,
|
| 539 |
+
"grad_norm": 0.37890625,
|
| 540 |
+
"learning_rate": 0.0007,
|
| 541 |
+
"loss": 2.362796401977539,
|
| 542 |
+
"step": 1520
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.10380856083586114,
|
| 546 |
+
"grad_norm": 0.3828125,
|
| 547 |
+
"learning_rate": 0.0007,
|
| 548 |
+
"loss": 2.3507095336914063,
|
| 549 |
+
"step": 1540
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.1051567239635996,
|
| 553 |
+
"grad_norm": 0.37890625,
|
| 554 |
+
"learning_rate": 0.0007,
|
| 555 |
+
"loss": 2.339781951904297,
|
| 556 |
+
"step": 1560
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.10650488709133805,
|
| 560 |
+
"grad_norm": 0.353515625,
|
| 561 |
+
"learning_rate": 0.0007,
|
| 562 |
+
"loss": 2.356917953491211,
|
| 563 |
+
"step": 1580
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.10785305021907651,
|
| 567 |
+
"grad_norm": 0.392578125,
|
| 568 |
+
"learning_rate": 0.0007,
|
| 569 |
+
"loss": 2.325514030456543,
|
| 570 |
+
"step": 1600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.10920121334681497,
|
| 574 |
+
"grad_norm": 0.33984375,
|
| 575 |
+
"learning_rate": 0.0007,
|
| 576 |
+
"loss": 2.3245080947875976,
|
| 577 |
+
"step": 1620
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.11054937647455342,
|
| 581 |
+
"grad_norm": 0.349609375,
|
| 582 |
+
"learning_rate": 0.0007,
|
| 583 |
+
"loss": 2.3359960556030273,
|
| 584 |
+
"step": 1640
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.11189753960229187,
|
| 588 |
+
"grad_norm": 0.3359375,
|
| 589 |
+
"learning_rate": 0.0007,
|
| 590 |
+
"loss": 2.3171085357666015,
|
| 591 |
+
"step": 1660
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.11324570273003033,
|
| 595 |
+
"grad_norm": 0.37890625,
|
| 596 |
+
"learning_rate": 0.0007,
|
| 597 |
+
"loss": 2.299543571472168,
|
| 598 |
+
"step": 1680
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.11459386585776879,
|
| 602 |
+
"grad_norm": 0.3515625,
|
| 603 |
+
"learning_rate": 0.0007,
|
| 604 |
+
"loss": 2.309956932067871,
|
| 605 |
+
"step": 1700
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.11594202898550725,
|
| 609 |
+
"grad_norm": 0.3828125,
|
| 610 |
+
"learning_rate": 0.0007,
|
| 611 |
+
"loss": 2.2854846954345702,
|
| 612 |
+
"step": 1720
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.1172901921132457,
|
| 616 |
+
"grad_norm": 0.349609375,
|
| 617 |
+
"learning_rate": 0.0007,
|
| 618 |
+
"loss": 2.2760204315185546,
|
| 619 |
+
"step": 1740
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.11863835524098416,
|
| 623 |
+
"grad_norm": 0.3515625,
|
| 624 |
+
"learning_rate": 0.0007,
|
| 625 |
+
"loss": 2.279789924621582,
|
| 626 |
+
"step": 1760
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.11998651836872262,
|
| 630 |
+
"grad_norm": 0.3671875,
|
| 631 |
+
"learning_rate": 0.0007,
|
| 632 |
+
"loss": 2.2942825317382813,
|
| 633 |
+
"step": 1780
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.12133468149646107,
|
| 637 |
+
"grad_norm": 0.341796875,
|
| 638 |
+
"learning_rate": 0.0007,
|
| 639 |
+
"loss": 2.2891586303710936,
|
| 640 |
+
"step": 1800
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.12268284462419952,
|
| 644 |
+
"grad_norm": 0.3828125,
|
| 645 |
+
"learning_rate": 0.0007,
|
| 646 |
+
"loss": 2.279863166809082,
|
| 647 |
+
"step": 1820
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.12403100775193798,
|
| 651 |
+
"grad_norm": 0.359375,
|
| 652 |
+
"learning_rate": 0.0007,
|
| 653 |
+
"loss": 2.2473472595214843,
|
| 654 |
+
"step": 1840
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.12537917087967643,
|
| 658 |
+
"grad_norm": 0.33984375,
|
| 659 |
+
"learning_rate": 0.0007,
|
| 660 |
+
"loss": 2.248352813720703,
|
| 661 |
+
"step": 1860
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.1267273340074149,
|
| 665 |
+
"grad_norm": 0.322265625,
|
| 666 |
+
"learning_rate": 0.0007,
|
| 667 |
+
"loss": 2.239566612243652,
|
| 668 |
+
"step": 1880
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.12807549713515334,
|
| 672 |
+
"grad_norm": 0.3359375,
|
| 673 |
+
"learning_rate": 0.0007,
|
| 674 |
+
"loss": 2.2460857391357423,
|
| 675 |
+
"step": 1900
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.12942366026289182,
|
| 679 |
+
"grad_norm": 0.345703125,
|
| 680 |
+
"learning_rate": 0.0007,
|
| 681 |
+
"loss": 2.222591209411621,
|
| 682 |
+
"step": 1920
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.13077182339063026,
|
| 686 |
+
"grad_norm": 0.35546875,
|
| 687 |
+
"learning_rate": 0.0007,
|
| 688 |
+
"loss": 2.2339385986328124,
|
| 689 |
+
"step": 1940
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.13211998651836873,
|
| 693 |
+
"grad_norm": 0.337890625,
|
| 694 |
+
"learning_rate": 0.0007,
|
| 695 |
+
"loss": 2.2090906143188476,
|
| 696 |
+
"step": 1960
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.13346814964610718,
|
| 700 |
+
"grad_norm": 0.36328125,
|
| 701 |
+
"learning_rate": 0.0007,
|
| 702 |
+
"loss": 2.2296125411987306,
|
| 703 |
+
"step": 1980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.13481631277384565,
|
| 707 |
+
"grad_norm": 0.345703125,
|
| 708 |
+
"learning_rate": 0.0007,
|
| 709 |
+
"loss": 2.20355110168457,
|
| 710 |
+
"step": 2000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.1361644759015841,
|
| 714 |
+
"grad_norm": 0.34765625,
|
| 715 |
+
"learning_rate": 0.0007,
|
| 716 |
+
"loss": 2.211279296875,
|
| 717 |
+
"step": 2020
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.13751263902932254,
|
| 721 |
+
"grad_norm": 0.37890625,
|
| 722 |
+
"learning_rate": 0.0007,
|
| 723 |
+
"loss": 2.1930706024169924,
|
| 724 |
+
"step": 2040
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.138860802157061,
|
| 728 |
+
"grad_norm": 0.3359375,
|
| 729 |
+
"learning_rate": 0.0007,
|
| 730 |
+
"loss": 2.211184501647949,
|
| 731 |
+
"step": 2060
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.14020896528479945,
|
| 735 |
+
"grad_norm": 0.333984375,
|
| 736 |
+
"learning_rate": 0.0007,
|
| 737 |
+
"loss": 2.1871965408325194,
|
| 738 |
+
"step": 2080
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.14155712841253792,
|
| 742 |
+
"grad_norm": 0.33203125,
|
| 743 |
+
"learning_rate": 0.0007,
|
| 744 |
+
"loss": 2.178455352783203,
|
| 745 |
+
"step": 2100
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.14290529154027637,
|
| 749 |
+
"grad_norm": 0.35546875,
|
| 750 |
+
"learning_rate": 0.0007,
|
| 751 |
+
"loss": 2.186496925354004,
|
| 752 |
+
"step": 2120
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.14425345466801484,
|
| 756 |
+
"grad_norm": 0.341796875,
|
| 757 |
+
"learning_rate": 0.0007,
|
| 758 |
+
"loss": 2.1872365951538084,
|
| 759 |
+
"step": 2140
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.14560161779575329,
|
| 763 |
+
"grad_norm": 0.337890625,
|
| 764 |
+
"learning_rate": 0.0007,
|
| 765 |
+
"loss": 2.1733598709106445,
|
| 766 |
+
"step": 2160
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.14694978092349173,
|
| 770 |
+
"grad_norm": 0.3359375,
|
| 771 |
+
"learning_rate": 0.0007,
|
| 772 |
+
"loss": 2.1814584732055664,
|
| 773 |
+
"step": 2180
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.1482979440512302,
|
| 777 |
+
"grad_norm": 0.328125,
|
| 778 |
+
"learning_rate": 0.0007,
|
| 779 |
+
"loss": 2.157553291320801,
|
| 780 |
+
"step": 2200
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.14964610717896865,
|
| 784 |
+
"grad_norm": 0.341796875,
|
| 785 |
+
"learning_rate": 0.0007,
|
| 786 |
+
"loss": 2.1652835845947265,
|
| 787 |
+
"step": 2220
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.15099427030670712,
|
| 791 |
+
"grad_norm": 0.34375,
|
| 792 |
+
"learning_rate": 0.0007,
|
| 793 |
+
"loss": 2.1730274200439452,
|
| 794 |
+
"step": 2240
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.15234243343444556,
|
| 798 |
+
"grad_norm": 0.353515625,
|
| 799 |
+
"learning_rate": 0.0007,
|
| 800 |
+
"loss": 2.1498680114746094,
|
| 801 |
+
"step": 2260
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.15369059656218403,
|
| 805 |
+
"grad_norm": 0.326171875,
|
| 806 |
+
"learning_rate": 0.0007,
|
| 807 |
+
"loss": 2.1618186950683596,
|
| 808 |
+
"step": 2280
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.15503875968992248,
|
| 812 |
+
"grad_norm": 0.337890625,
|
| 813 |
+
"learning_rate": 0.0007,
|
| 814 |
+
"loss": 2.142350959777832,
|
| 815 |
+
"step": 2300
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.15638692281766095,
|
| 819 |
+
"grad_norm": 0.333984375,
|
| 820 |
+
"learning_rate": 0.0007,
|
| 821 |
+
"loss": 2.1518985748291017,
|
| 822 |
+
"step": 2320
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.1577350859453994,
|
| 826 |
+
"grad_norm": 0.337890625,
|
| 827 |
+
"learning_rate": 0.0007,
|
| 828 |
+
"loss": 2.142623710632324,
|
| 829 |
+
"step": 2340
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.15908324907313784,
|
| 833 |
+
"grad_norm": 0.333984375,
|
| 834 |
+
"learning_rate": 0.0007,
|
| 835 |
+
"loss": 2.1457294464111327,
|
| 836 |
+
"step": 2360
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.1604314122008763,
|
| 840 |
+
"grad_norm": 0.33203125,
|
| 841 |
+
"learning_rate": 0.0007,
|
| 842 |
+
"loss": 2.1467227935791016,
|
| 843 |
+
"step": 2380
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.16177957532861476,
|
| 847 |
+
"grad_norm": 0.369140625,
|
| 848 |
+
"learning_rate": 0.0007,
|
| 849 |
+
"loss": 2.1286346435546877,
|
| 850 |
+
"step": 2400
|
| 851 |
+
}
|
| 852 |
+
],
|
| 853 |
+
"logging_steps": 20,
|
| 854 |
+
"max_steps": 2500,
|
| 855 |
+
"num_input_tokens_seen": 0,
|
| 856 |
+
"num_train_epochs": 1,
|
| 857 |
+
"save_steps": 100,
|
| 858 |
+
"stateful_callbacks": {
|
| 859 |
+
"TrainerControl": {
|
| 860 |
+
"args": {
|
| 861 |
+
"should_epoch_stop": false,
|
| 862 |
+
"should_evaluate": false,
|
| 863 |
+
"should_log": false,
|
| 864 |
+
"should_save": true,
|
| 865 |
+
"should_training_stop": false
|
| 866 |
+
},
|
| 867 |
+
"attributes": {}
|
| 868 |
+
}
|
| 869 |
+
},
|
| 870 |
+
"total_flos": 7743081126297600.0,
|
| 871 |
+
"train_batch_size": 64,
|
| 872 |
+
"trial_name": null,
|
| 873 |
+
"trial_params": null
|
| 874 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2400/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efb8cca2a9ea6ff541b7562ec4e2e31a24b5072ef5136a6523ae9f9c0012caa0
|
| 3 |
+
size 4920
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu_low",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 100,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.16.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096,
|
| 35 |
+
"waleed_beta": 10.0
|
| 36 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e7b15542270620c3fcc10261277bc54e2e41ceaa20b3386de734d4185481f8e
|
| 3 |
+
size 33967272
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0023a612ec368fd1cfcbd9835329e9dae7dd366352314799cc790ef88358f8fe
|
| 3 |
+
size 68504996
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cf9097d4513154245c48236b6ec5137b7ee2a21c9f58f2cba798ea275c6026f
|
| 3 |
+
size 14244
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fae3f7a9f86d9663c06f6e22221bc9e6879cd9691e2b1bba04ee6412e2572f45
|
| 3 |
+
size 1064
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/trainer_state.json
ADDED
|
@@ -0,0 +1,925 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.16852039096730703,
|
| 6 |
+
"eval_steps": 2498,
|
| 7 |
+
"global_step": 2500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0013481631277384564,
|
| 14 |
+
"grad_norm": 2.078125,
|
| 15 |
+
"learning_rate": 2.66e-05,
|
| 16 |
+
"loss": 8.299667358398438,
|
| 17 |
+
"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002696326255476913,
|
| 21 |
+
"grad_norm": 1.3515625,
|
| 22 |
+
"learning_rate": 5.46e-05,
|
| 23 |
+
"loss": 8.047861480712891,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.004044489383215369,
|
| 28 |
+
"grad_norm": 1.2734375,
|
| 29 |
+
"learning_rate": 8.259999999999999e-05,
|
| 30 |
+
"loss": 7.838032531738281,
|
| 31 |
+
"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.005392652510953826,
|
| 35 |
+
"grad_norm": 1.265625,
|
| 36 |
+
"learning_rate": 0.0001106,
|
| 37 |
+
"loss": 7.572964477539062,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006740815638692282,
|
| 42 |
+
"grad_norm": 1.1953125,
|
| 43 |
+
"learning_rate": 0.0001386,
|
| 44 |
+
"loss": 7.233274841308594,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.008088978766430738,
|
| 49 |
+
"grad_norm": 1.1328125,
|
| 50 |
+
"learning_rate": 0.00016659999999999998,
|
| 51 |
+
"loss": 6.860704803466797,
|
| 52 |
+
"step": 120
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.009437141894169195,
|
| 56 |
+
"grad_norm": 0.94921875,
|
| 57 |
+
"learning_rate": 0.00019460000000000001,
|
| 58 |
+
"loss": 6.517856597900391,
|
| 59 |
+
"step": 140
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.010785305021907651,
|
| 63 |
+
"grad_norm": 0.8046875,
|
| 64 |
+
"learning_rate": 0.0002226,
|
| 65 |
+
"loss": 6.239397811889648,
|
| 66 |
+
"step": 160
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.012133468149646108,
|
| 70 |
+
"grad_norm": 0.65234375,
|
| 71 |
+
"learning_rate": 0.00025059999999999997,
|
| 72 |
+
"loss": 6.039968109130859,
|
| 73 |
+
"step": 180
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.013481631277384564,
|
| 77 |
+
"grad_norm": 0.5625,
|
| 78 |
+
"learning_rate": 0.0002786,
|
| 79 |
+
"loss": 5.863864517211914,
|
| 80 |
+
"step": 200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.01482979440512302,
|
| 84 |
+
"grad_norm": 0.67578125,
|
| 85 |
+
"learning_rate": 0.00030659999999999997,
|
| 86 |
+
"loss": 5.679952239990234,
|
| 87 |
+
"step": 220
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.016177957532861477,
|
| 91 |
+
"grad_norm": 1.484375,
|
| 92 |
+
"learning_rate": 0.0003346,
|
| 93 |
+
"loss": 5.470568084716797,
|
| 94 |
+
"step": 240
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.01752612066059993,
|
| 98 |
+
"grad_norm": 1.9765625,
|
| 99 |
+
"learning_rate": 0.00036260000000000003,
|
| 100 |
+
"loss": 5.266762542724609,
|
| 101 |
+
"step": 260
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.01887428378833839,
|
| 105 |
+
"grad_norm": 0.6015625,
|
| 106 |
+
"learning_rate": 0.0003906,
|
| 107 |
+
"loss": 5.04127197265625,
|
| 108 |
+
"step": 280
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.020222446916076844,
|
| 112 |
+
"grad_norm": 1.0859375,
|
| 113 |
+
"learning_rate": 0.0004186,
|
| 114 |
+
"loss": 4.803184509277344,
|
| 115 |
+
"step": 300
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.021570610043815303,
|
| 119 |
+
"grad_norm": 1.15625,
|
| 120 |
+
"learning_rate": 0.0004466,
|
| 121 |
+
"loss": 4.589862823486328,
|
| 122 |
+
"step": 320
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.022918773171553757,
|
| 126 |
+
"grad_norm": 0.6953125,
|
| 127 |
+
"learning_rate": 0.00047460000000000004,
|
| 128 |
+
"loss": 4.416217803955078,
|
| 129 |
+
"step": 340
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.024266936299292215,
|
| 133 |
+
"grad_norm": 0.8046875,
|
| 134 |
+
"learning_rate": 0.0005026,
|
| 135 |
+
"loss": 4.270945739746094,
|
| 136 |
+
"step": 360
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.02561509942703067,
|
| 140 |
+
"grad_norm": 0.75,
|
| 141 |
+
"learning_rate": 0.0005306,
|
| 142 |
+
"loss": 4.125864028930664,
|
| 143 |
+
"step": 380
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.026963262554769128,
|
| 147 |
+
"grad_norm": 0.5625,
|
| 148 |
+
"learning_rate": 0.0005586,
|
| 149 |
+
"loss": 3.992333984375,
|
| 150 |
+
"step": 400
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.028311425682507583,
|
| 154 |
+
"grad_norm": 0.53515625,
|
| 155 |
+
"learning_rate": 0.0005866,
|
| 156 |
+
"loss": 3.8864391326904295,
|
| 157 |
+
"step": 420
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.02965958881024604,
|
| 161 |
+
"grad_norm": 0.86328125,
|
| 162 |
+
"learning_rate": 0.0006146,
|
| 163 |
+
"loss": 3.819641876220703,
|
| 164 |
+
"step": 440
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.031007751937984496,
|
| 168 |
+
"grad_norm": 0.7109375,
|
| 169 |
+
"learning_rate": 0.0006426,
|
| 170 |
+
"loss": 3.7153347015380858,
|
| 171 |
+
"step": 460
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.032355915065722954,
|
| 175 |
+
"grad_norm": 0.53515625,
|
| 176 |
+
"learning_rate": 0.0006705999999999999,
|
| 177 |
+
"loss": 3.6391063690185548,
|
| 178 |
+
"step": 480
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.03370407819346141,
|
| 182 |
+
"grad_norm": 0.59765625,
|
| 183 |
+
"learning_rate": 0.0006986,
|
| 184 |
+
"loss": 3.5594459533691407,
|
| 185 |
+
"step": 500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.03505224132119986,
|
| 189 |
+
"grad_norm": 0.4296875,
|
| 190 |
+
"learning_rate": 0.0007,
|
| 191 |
+
"loss": 3.493515396118164,
|
| 192 |
+
"step": 520
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.03640040444893832,
|
| 196 |
+
"grad_norm": 0.640625,
|
| 197 |
+
"learning_rate": 0.0007,
|
| 198 |
+
"loss": 3.41654052734375,
|
| 199 |
+
"step": 540
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.03774856757667678,
|
| 203 |
+
"grad_norm": 0.484375,
|
| 204 |
+
"learning_rate": 0.0007,
|
| 205 |
+
"loss": 3.366413879394531,
|
| 206 |
+
"step": 560
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.03909673070441524,
|
| 210 |
+
"grad_norm": 0.423828125,
|
| 211 |
+
"learning_rate": 0.0007,
|
| 212 |
+
"loss": 3.3078380584716798,
|
| 213 |
+
"step": 580
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.04044489383215369,
|
| 217 |
+
"grad_norm": 0.423828125,
|
| 218 |
+
"learning_rate": 0.0007,
|
| 219 |
+
"loss": 3.2723438262939455,
|
| 220 |
+
"step": 600
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.04179305695989215,
|
| 224 |
+
"grad_norm": 0.431640625,
|
| 225 |
+
"learning_rate": 0.0007,
|
| 226 |
+
"loss": 3.2081642150878906,
|
| 227 |
+
"step": 620
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.043141220087630605,
|
| 231 |
+
"grad_norm": 0.44921875,
|
| 232 |
+
"learning_rate": 0.0007,
|
| 233 |
+
"loss": 3.1861698150634767,
|
| 234 |
+
"step": 640
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.044489383215369056,
|
| 238 |
+
"grad_norm": 0.40625,
|
| 239 |
+
"learning_rate": 0.0007,
|
| 240 |
+
"loss": 3.126705360412598,
|
| 241 |
+
"step": 660
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.045837546343107514,
|
| 245 |
+
"grad_norm": 0.423828125,
|
| 246 |
+
"learning_rate": 0.0007,
|
| 247 |
+
"loss": 3.1009654998779297,
|
| 248 |
+
"step": 680
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.04718570947084597,
|
| 252 |
+
"grad_norm": 0.41015625,
|
| 253 |
+
"learning_rate": 0.0007,
|
| 254 |
+
"loss": 3.0569204330444335,
|
| 255 |
+
"step": 700
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.04853387259858443,
|
| 259 |
+
"grad_norm": 0.390625,
|
| 260 |
+
"learning_rate": 0.0007,
|
| 261 |
+
"loss": 3.0219058990478516,
|
| 262 |
+
"step": 720
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.04988203572632288,
|
| 266 |
+
"grad_norm": 0.447265625,
|
| 267 |
+
"learning_rate": 0.0007,
|
| 268 |
+
"loss": 2.9834646224975585,
|
| 269 |
+
"step": 740
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.05123019885406134,
|
| 273 |
+
"grad_norm": 0.39453125,
|
| 274 |
+
"learning_rate": 0.0007,
|
| 275 |
+
"loss": 2.9665781021118165,
|
| 276 |
+
"step": 760
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.0525783619817998,
|
| 280 |
+
"grad_norm": 0.43359375,
|
| 281 |
+
"learning_rate": 0.0007,
|
| 282 |
+
"loss": 2.9737390518188476,
|
| 283 |
+
"step": 780
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.053926525109538256,
|
| 287 |
+
"grad_norm": 0.41015625,
|
| 288 |
+
"learning_rate": 0.0007,
|
| 289 |
+
"loss": 2.9195796966552736,
|
| 290 |
+
"step": 800
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.05527468823727671,
|
| 294 |
+
"grad_norm": 0.41015625,
|
| 295 |
+
"learning_rate": 0.0007,
|
| 296 |
+
"loss": 2.9032770156860352,
|
| 297 |
+
"step": 820
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.056622851365015166,
|
| 301 |
+
"grad_norm": 0.4296875,
|
| 302 |
+
"learning_rate": 0.0007,
|
| 303 |
+
"loss": 2.8703426361083983,
|
| 304 |
+
"step": 840
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.057971014492753624,
|
| 308 |
+
"grad_norm": 0.384765625,
|
| 309 |
+
"learning_rate": 0.0007,
|
| 310 |
+
"loss": 2.8253679275512695,
|
| 311 |
+
"step": 860
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.05931917762049208,
|
| 315 |
+
"grad_norm": 0.390625,
|
| 316 |
+
"learning_rate": 0.0007,
|
| 317 |
+
"loss": 2.802602195739746,
|
| 318 |
+
"step": 880
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.06066734074823053,
|
| 322 |
+
"grad_norm": 0.40625,
|
| 323 |
+
"learning_rate": 0.0007,
|
| 324 |
+
"loss": 2.7884506225585937,
|
| 325 |
+
"step": 900
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.06201550387596899,
|
| 329 |
+
"grad_norm": 0.3828125,
|
| 330 |
+
"learning_rate": 0.0007,
|
| 331 |
+
"loss": 2.7588369369506838,
|
| 332 |
+
"step": 920
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.06336366700370745,
|
| 336 |
+
"grad_norm": 0.41796875,
|
| 337 |
+
"learning_rate": 0.0007,
|
| 338 |
+
"loss": 2.7435585021972657,
|
| 339 |
+
"step": 940
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.06471183013144591,
|
| 343 |
+
"grad_norm": 0.44921875,
|
| 344 |
+
"learning_rate": 0.0007,
|
| 345 |
+
"loss": 2.717236328125,
|
| 346 |
+
"step": 960
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.06605999325918437,
|
| 350 |
+
"grad_norm": 0.373046875,
|
| 351 |
+
"learning_rate": 0.0007,
|
| 352 |
+
"loss": 2.699039268493652,
|
| 353 |
+
"step": 980
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.06740815638692282,
|
| 357 |
+
"grad_norm": 0.41015625,
|
| 358 |
+
"learning_rate": 0.0007,
|
| 359 |
+
"loss": 2.697044563293457,
|
| 360 |
+
"step": 1000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.06875631951466127,
|
| 364 |
+
"grad_norm": 0.361328125,
|
| 365 |
+
"learning_rate": 0.0007,
|
| 366 |
+
"loss": 2.6641401290893554,
|
| 367 |
+
"step": 1020
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.07010448264239973,
|
| 371 |
+
"grad_norm": 0.376953125,
|
| 372 |
+
"learning_rate": 0.0007,
|
| 373 |
+
"loss": 2.6494163513183593,
|
| 374 |
+
"step": 1040
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.07145264577013818,
|
| 378 |
+
"grad_norm": 0.416015625,
|
| 379 |
+
"learning_rate": 0.0007,
|
| 380 |
+
"loss": 2.631260299682617,
|
| 381 |
+
"step": 1060
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.07280080889787664,
|
| 385 |
+
"grad_norm": 0.37890625,
|
| 386 |
+
"learning_rate": 0.0007,
|
| 387 |
+
"loss": 2.612077331542969,
|
| 388 |
+
"step": 1080
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.0741489720256151,
|
| 392 |
+
"grad_norm": 0.40234375,
|
| 393 |
+
"learning_rate": 0.0007,
|
| 394 |
+
"loss": 2.606185722351074,
|
| 395 |
+
"step": 1100
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.07549713515335356,
|
| 399 |
+
"grad_norm": 0.388671875,
|
| 400 |
+
"learning_rate": 0.0007,
|
| 401 |
+
"loss": 2.570285606384277,
|
| 402 |
+
"step": 1120
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.07684529828109202,
|
| 406 |
+
"grad_norm": 0.41796875,
|
| 407 |
+
"learning_rate": 0.0007,
|
| 408 |
+
"loss": 2.557082176208496,
|
| 409 |
+
"step": 1140
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.07819346140883048,
|
| 413 |
+
"grad_norm": 0.37890625,
|
| 414 |
+
"learning_rate": 0.0007,
|
| 415 |
+
"loss": 2.5526586532592774,
|
| 416 |
+
"step": 1160
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.07954162453656892,
|
| 420 |
+
"grad_norm": 0.388671875,
|
| 421 |
+
"learning_rate": 0.0007,
|
| 422 |
+
"loss": 2.547346305847168,
|
| 423 |
+
"step": 1180
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.08088978766430738,
|
| 427 |
+
"grad_norm": 0.3828125,
|
| 428 |
+
"learning_rate": 0.0007,
|
| 429 |
+
"loss": 2.5366180419921873,
|
| 430 |
+
"step": 1200
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.08223795079204584,
|
| 434 |
+
"grad_norm": 0.359375,
|
| 435 |
+
"learning_rate": 0.0007,
|
| 436 |
+
"loss": 2.5206745147705076,
|
| 437 |
+
"step": 1220
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0835861139197843,
|
| 441 |
+
"grad_norm": 0.36328125,
|
| 442 |
+
"learning_rate": 0.0007,
|
| 443 |
+
"loss": 2.506051254272461,
|
| 444 |
+
"step": 1240
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.08493427704752275,
|
| 448 |
+
"grad_norm": 0.376953125,
|
| 449 |
+
"learning_rate": 0.0007,
|
| 450 |
+
"loss": 2.494335174560547,
|
| 451 |
+
"step": 1260
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.08628244017526121,
|
| 455 |
+
"grad_norm": 0.384765625,
|
| 456 |
+
"learning_rate": 0.0007,
|
| 457 |
+
"loss": 2.4746730804443358,
|
| 458 |
+
"step": 1280
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.08763060330299967,
|
| 462 |
+
"grad_norm": 0.384765625,
|
| 463 |
+
"learning_rate": 0.0007,
|
| 464 |
+
"loss": 2.4673040390014647,
|
| 465 |
+
"step": 1300
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.08897876643073811,
|
| 469 |
+
"grad_norm": 0.359375,
|
| 470 |
+
"learning_rate": 0.0007,
|
| 471 |
+
"loss": 2.458811950683594,
|
| 472 |
+
"step": 1320
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.09032692955847657,
|
| 476 |
+
"grad_norm": 0.40234375,
|
| 477 |
+
"learning_rate": 0.0007,
|
| 478 |
+
"loss": 2.444304275512695,
|
| 479 |
+
"step": 1340
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.09167509268621503,
|
| 483 |
+
"grad_norm": 0.3984375,
|
| 484 |
+
"learning_rate": 0.0007,
|
| 485 |
+
"loss": 2.4439945220947266,
|
| 486 |
+
"step": 1360
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.09302325581395349,
|
| 490 |
+
"grad_norm": 0.341796875,
|
| 491 |
+
"learning_rate": 0.0007,
|
| 492 |
+
"loss": 2.4202173233032225,
|
| 493 |
+
"step": 1380
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.09437141894169195,
|
| 497 |
+
"grad_norm": 0.36328125,
|
| 498 |
+
"learning_rate": 0.0007,
|
| 499 |
+
"loss": 2.4103469848632812,
|
| 500 |
+
"step": 1400
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0957195820694304,
|
| 504 |
+
"grad_norm": 0.39453125,
|
| 505 |
+
"learning_rate": 0.0007,
|
| 506 |
+
"loss": 2.4228416442871095,
|
| 507 |
+
"step": 1420
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.09706774519716886,
|
| 511 |
+
"grad_norm": 0.3515625,
|
| 512 |
+
"learning_rate": 0.0007,
|
| 513 |
+
"loss": 2.3987619400024416,
|
| 514 |
+
"step": 1440
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.09841590832490732,
|
| 518 |
+
"grad_norm": 0.38671875,
|
| 519 |
+
"learning_rate": 0.0007,
|
| 520 |
+
"loss": 2.3866939544677734,
|
| 521 |
+
"step": 1460
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.09976407145264576,
|
| 525 |
+
"grad_norm": 0.359375,
|
| 526 |
+
"learning_rate": 0.0007,
|
| 527 |
+
"loss": 2.3730697631835938,
|
| 528 |
+
"step": 1480
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.10111223458038422,
|
| 532 |
+
"grad_norm": 0.359375,
|
| 533 |
+
"learning_rate": 0.0007,
|
| 534 |
+
"loss": 2.3593896865844726,
|
| 535 |
+
"step": 1500
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.10246039770812268,
|
| 539 |
+
"grad_norm": 0.37890625,
|
| 540 |
+
"learning_rate": 0.0007,
|
| 541 |
+
"loss": 2.362796401977539,
|
| 542 |
+
"step": 1520
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.10380856083586114,
|
| 546 |
+
"grad_norm": 0.3828125,
|
| 547 |
+
"learning_rate": 0.0007,
|
| 548 |
+
"loss": 2.3507095336914063,
|
| 549 |
+
"step": 1540
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.1051567239635996,
|
| 553 |
+
"grad_norm": 0.37890625,
|
| 554 |
+
"learning_rate": 0.0007,
|
| 555 |
+
"loss": 2.339781951904297,
|
| 556 |
+
"step": 1560
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.10650488709133805,
|
| 560 |
+
"grad_norm": 0.353515625,
|
| 561 |
+
"learning_rate": 0.0007,
|
| 562 |
+
"loss": 2.356917953491211,
|
| 563 |
+
"step": 1580
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.10785305021907651,
|
| 567 |
+
"grad_norm": 0.392578125,
|
| 568 |
+
"learning_rate": 0.0007,
|
| 569 |
+
"loss": 2.325514030456543,
|
| 570 |
+
"step": 1600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.10920121334681497,
|
| 574 |
+
"grad_norm": 0.33984375,
|
| 575 |
+
"learning_rate": 0.0007,
|
| 576 |
+
"loss": 2.3245080947875976,
|
| 577 |
+
"step": 1620
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.11054937647455342,
|
| 581 |
+
"grad_norm": 0.349609375,
|
| 582 |
+
"learning_rate": 0.0007,
|
| 583 |
+
"loss": 2.3359960556030273,
|
| 584 |
+
"step": 1640
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.11189753960229187,
|
| 588 |
+
"grad_norm": 0.3359375,
|
| 589 |
+
"learning_rate": 0.0007,
|
| 590 |
+
"loss": 2.3171085357666015,
|
| 591 |
+
"step": 1660
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.11324570273003033,
|
| 595 |
+
"grad_norm": 0.37890625,
|
| 596 |
+
"learning_rate": 0.0007,
|
| 597 |
+
"loss": 2.299543571472168,
|
| 598 |
+
"step": 1680
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.11459386585776879,
|
| 602 |
+
"grad_norm": 0.3515625,
|
| 603 |
+
"learning_rate": 0.0007,
|
| 604 |
+
"loss": 2.309956932067871,
|
| 605 |
+
"step": 1700
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.11594202898550725,
|
| 609 |
+
"grad_norm": 0.3828125,
|
| 610 |
+
"learning_rate": 0.0007,
|
| 611 |
+
"loss": 2.2854846954345702,
|
| 612 |
+
"step": 1720
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.1172901921132457,
|
| 616 |
+
"grad_norm": 0.349609375,
|
| 617 |
+
"learning_rate": 0.0007,
|
| 618 |
+
"loss": 2.2760204315185546,
|
| 619 |
+
"step": 1740
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.11863835524098416,
|
| 623 |
+
"grad_norm": 0.3515625,
|
| 624 |
+
"learning_rate": 0.0007,
|
| 625 |
+
"loss": 2.279789924621582,
|
| 626 |
+
"step": 1760
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.11998651836872262,
|
| 630 |
+
"grad_norm": 0.3671875,
|
| 631 |
+
"learning_rate": 0.0007,
|
| 632 |
+
"loss": 2.2942825317382813,
|
| 633 |
+
"step": 1780
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.12133468149646107,
|
| 637 |
+
"grad_norm": 0.341796875,
|
| 638 |
+
"learning_rate": 0.0007,
|
| 639 |
+
"loss": 2.2891586303710936,
|
| 640 |
+
"step": 1800
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.12268284462419952,
|
| 644 |
+
"grad_norm": 0.3828125,
|
| 645 |
+
"learning_rate": 0.0007,
|
| 646 |
+
"loss": 2.279863166809082,
|
| 647 |
+
"step": 1820
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.12403100775193798,
|
| 651 |
+
"grad_norm": 0.359375,
|
| 652 |
+
"learning_rate": 0.0007,
|
| 653 |
+
"loss": 2.2473472595214843,
|
| 654 |
+
"step": 1840
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.12537917087967643,
|
| 658 |
+
"grad_norm": 0.33984375,
|
| 659 |
+
"learning_rate": 0.0007,
|
| 660 |
+
"loss": 2.248352813720703,
|
| 661 |
+
"step": 1860
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.1267273340074149,
|
| 665 |
+
"grad_norm": 0.322265625,
|
| 666 |
+
"learning_rate": 0.0007,
|
| 667 |
+
"loss": 2.239566612243652,
|
| 668 |
+
"step": 1880
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.12807549713515334,
|
| 672 |
+
"grad_norm": 0.3359375,
|
| 673 |
+
"learning_rate": 0.0007,
|
| 674 |
+
"loss": 2.2460857391357423,
|
| 675 |
+
"step": 1900
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.12942366026289182,
|
| 679 |
+
"grad_norm": 0.345703125,
|
| 680 |
+
"learning_rate": 0.0007,
|
| 681 |
+
"loss": 2.222591209411621,
|
| 682 |
+
"step": 1920
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.13077182339063026,
|
| 686 |
+
"grad_norm": 0.35546875,
|
| 687 |
+
"learning_rate": 0.0007,
|
| 688 |
+
"loss": 2.2339385986328124,
|
| 689 |
+
"step": 1940
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.13211998651836873,
|
| 693 |
+
"grad_norm": 0.337890625,
|
| 694 |
+
"learning_rate": 0.0007,
|
| 695 |
+
"loss": 2.2090906143188476,
|
| 696 |
+
"step": 1960
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.13346814964610718,
|
| 700 |
+
"grad_norm": 0.36328125,
|
| 701 |
+
"learning_rate": 0.0007,
|
| 702 |
+
"loss": 2.2296125411987306,
|
| 703 |
+
"step": 1980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.13481631277384565,
|
| 707 |
+
"grad_norm": 0.345703125,
|
| 708 |
+
"learning_rate": 0.0007,
|
| 709 |
+
"loss": 2.20355110168457,
|
| 710 |
+
"step": 2000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.1361644759015841,
|
| 714 |
+
"grad_norm": 0.34765625,
|
| 715 |
+
"learning_rate": 0.0007,
|
| 716 |
+
"loss": 2.211279296875,
|
| 717 |
+
"step": 2020
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.13751263902932254,
|
| 721 |
+
"grad_norm": 0.37890625,
|
| 722 |
+
"learning_rate": 0.0007,
|
| 723 |
+
"loss": 2.1930706024169924,
|
| 724 |
+
"step": 2040
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.138860802157061,
|
| 728 |
+
"grad_norm": 0.3359375,
|
| 729 |
+
"learning_rate": 0.0007,
|
| 730 |
+
"loss": 2.211184501647949,
|
| 731 |
+
"step": 2060
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.14020896528479945,
|
| 735 |
+
"grad_norm": 0.333984375,
|
| 736 |
+
"learning_rate": 0.0007,
|
| 737 |
+
"loss": 2.1871965408325194,
|
| 738 |
+
"step": 2080
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.14155712841253792,
|
| 742 |
+
"grad_norm": 0.33203125,
|
| 743 |
+
"learning_rate": 0.0007,
|
| 744 |
+
"loss": 2.178455352783203,
|
| 745 |
+
"step": 2100
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.14290529154027637,
|
| 749 |
+
"grad_norm": 0.35546875,
|
| 750 |
+
"learning_rate": 0.0007,
|
| 751 |
+
"loss": 2.186496925354004,
|
| 752 |
+
"step": 2120
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.14425345466801484,
|
| 756 |
+
"grad_norm": 0.341796875,
|
| 757 |
+
"learning_rate": 0.0007,
|
| 758 |
+
"loss": 2.1872365951538084,
|
| 759 |
+
"step": 2140
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.14560161779575329,
|
| 763 |
+
"grad_norm": 0.337890625,
|
| 764 |
+
"learning_rate": 0.0007,
|
| 765 |
+
"loss": 2.1733598709106445,
|
| 766 |
+
"step": 2160
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.14694978092349173,
|
| 770 |
+
"grad_norm": 0.3359375,
|
| 771 |
+
"learning_rate": 0.0007,
|
| 772 |
+
"loss": 2.1814584732055664,
|
| 773 |
+
"step": 2180
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.1482979440512302,
|
| 777 |
+
"grad_norm": 0.328125,
|
| 778 |
+
"learning_rate": 0.0007,
|
| 779 |
+
"loss": 2.157553291320801,
|
| 780 |
+
"step": 2200
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.14964610717896865,
|
| 784 |
+
"grad_norm": 0.341796875,
|
| 785 |
+
"learning_rate": 0.0007,
|
| 786 |
+
"loss": 2.1652835845947265,
|
| 787 |
+
"step": 2220
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.15099427030670712,
|
| 791 |
+
"grad_norm": 0.34375,
|
| 792 |
+
"learning_rate": 0.0007,
|
| 793 |
+
"loss": 2.1730274200439452,
|
| 794 |
+
"step": 2240
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.15234243343444556,
|
| 798 |
+
"grad_norm": 0.353515625,
|
| 799 |
+
"learning_rate": 0.0007,
|
| 800 |
+
"loss": 2.1498680114746094,
|
| 801 |
+
"step": 2260
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.15369059656218403,
|
| 805 |
+
"grad_norm": 0.326171875,
|
| 806 |
+
"learning_rate": 0.0007,
|
| 807 |
+
"loss": 2.1618186950683596,
|
| 808 |
+
"step": 2280
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.15503875968992248,
|
| 812 |
+
"grad_norm": 0.337890625,
|
| 813 |
+
"learning_rate": 0.0007,
|
| 814 |
+
"loss": 2.142350959777832,
|
| 815 |
+
"step": 2300
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.15638692281766095,
|
| 819 |
+
"grad_norm": 0.333984375,
|
| 820 |
+
"learning_rate": 0.0007,
|
| 821 |
+
"loss": 2.1518985748291017,
|
| 822 |
+
"step": 2320
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.1577350859453994,
|
| 826 |
+
"grad_norm": 0.337890625,
|
| 827 |
+
"learning_rate": 0.0007,
|
| 828 |
+
"loss": 2.142623710632324,
|
| 829 |
+
"step": 2340
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.15908324907313784,
|
| 833 |
+
"grad_norm": 0.333984375,
|
| 834 |
+
"learning_rate": 0.0007,
|
| 835 |
+
"loss": 2.1457294464111327,
|
| 836 |
+
"step": 2360
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.1604314122008763,
|
| 840 |
+
"grad_norm": 0.33203125,
|
| 841 |
+
"learning_rate": 0.0007,
|
| 842 |
+
"loss": 2.1467227935791016,
|
| 843 |
+
"step": 2380
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.16177957532861476,
|
| 847 |
+
"grad_norm": 0.369140625,
|
| 848 |
+
"learning_rate": 0.0007,
|
| 849 |
+
"loss": 2.1286346435546877,
|
| 850 |
+
"step": 2400
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.16312773845635323,
|
| 854 |
+
"grad_norm": 0.34375,
|
| 855 |
+
"learning_rate": 0.0007,
|
| 856 |
+
"loss": 2.1322181701660154,
|
| 857 |
+
"step": 2420
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.16447590158409167,
|
| 861 |
+
"grad_norm": 0.330078125,
|
| 862 |
+
"learning_rate": 0.0007,
|
| 863 |
+
"loss": 2.119257354736328,
|
| 864 |
+
"step": 2440
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.16582406471183014,
|
| 868 |
+
"grad_norm": 0.341796875,
|
| 869 |
+
"learning_rate": 0.0007,
|
| 870 |
+
"loss": 2.1314579010009767,
|
| 871 |
+
"step": 2460
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.1671722278395686,
|
| 875 |
+
"grad_norm": 0.34765625,
|
| 876 |
+
"learning_rate": 0.0007,
|
| 877 |
+
"loss": 2.1324623107910154,
|
| 878 |
+
"step": 2480
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.1683855746545332,
|
| 882 |
+
"eval_loss": 2.125929832458496,
|
| 883 |
+
"eval_runtime": 16.8275,
|
| 884 |
+
"eval_samples_per_second": 566.157,
|
| 885 |
+
"eval_steps_per_second": 0.594,
|
| 886 |
+
"step": 2498
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.16852039096730703,
|
| 890 |
+
"grad_norm": 0.333984375,
|
| 891 |
+
"learning_rate": 0.0007,
|
| 892 |
+
"loss": 2.1140785217285156,
|
| 893 |
+
"step": 2500
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.16852039096730703,
|
| 897 |
+
"eval_loss": 2.1262547969818115,
|
| 898 |
+
"eval_runtime": 16.635,
|
| 899 |
+
"eval_samples_per_second": 572.71,
|
| 900 |
+
"eval_steps_per_second": 0.601,
|
| 901 |
+
"step": 2500
|
| 902 |
+
}
|
| 903 |
+
],
|
| 904 |
+
"logging_steps": 20,
|
| 905 |
+
"max_steps": 2500,
|
| 906 |
+
"num_input_tokens_seen": 0,
|
| 907 |
+
"num_train_epochs": 1,
|
| 908 |
+
"save_steps": 100,
|
| 909 |
+
"stateful_callbacks": {
|
| 910 |
+
"TrainerControl": {
|
| 911 |
+
"args": {
|
| 912 |
+
"should_epoch_stop": false,
|
| 913 |
+
"should_evaluate": false,
|
| 914 |
+
"should_log": false,
|
| 915 |
+
"should_save": true,
|
| 916 |
+
"should_training_stop": true
|
| 917 |
+
},
|
| 918 |
+
"attributes": {}
|
| 919 |
+
}
|
| 920 |
+
},
|
| 921 |
+
"total_flos": 8065709506560000.0,
|
| 922 |
+
"train_batch_size": 64,
|
| 923 |
+
"trial_name": null,
|
| 924 |
+
"trial_params": null
|
| 925 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/checkpoint-2500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efb8cca2a9ea6ff541b7562ec4e2e31a24b5072ef5136a6523ae9f9c0012caa0
|
| 3 |
+
size 4920
|
zain/Activation/out/glu-situglu_low-100L_run/config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu_low",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 100,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.16.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096,
|
| 35 |
+
"waleed_beta": 10.0
|
| 36 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e7b15542270620c3fcc10261277bc54e2e41ceaa20b3386de734d4185481f8e
|
| 3 |
+
size 33967272
|
zain/Activation/out/glu-situglu_low-100L_run/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
zain/Activation/out/glu-situglu_low-100L_run/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
zain/Activation/out/glu-situglu_low-100L_run/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efb8cca2a9ea6ff541b7562ec4e2e31a24b5072ef5136a6523ae9f9c0012caa0
|
| 3 |
+
size 4920
|
zain/Activation/out/glu-situglu_low-100L_run/training_log.jsonl
CHANGED
|
@@ -109,3 +109,21 @@
|
|
| 109 |
{"step": 2180, "epoch": 0.14694978092349173, "timestamp": 1786576852.170506, "loss": 2.1814584732055664, "grad_norm": 0.3359375, "learning_rate": 0.0007, "train/total_time_seconds": 579.0546316727996, "train/time_per_step_avg": 0.2629444441944361, "train/epoch_time_elapsed": 696.1408161707222, "train/estimated_remaining_minutes": 1.4166474169365129}
|
| 110 |
{"step": 2200, "epoch": 0.1482979440512302, "timestamp": 1786576858.479852, "loss": 2.157553291320801, "grad_norm": 0.328125, "learning_rate": 0.0007, "train/total_time_seconds": 584.3338468708098, "train/time_per_step_avg": 0.2632886817678809, "train/epoch_time_elapsed": 702.4501621201634, "train/estimated_remaining_minutes": 1.3280314701609313}
|
| 111 |
{"step": 2220, "epoch": 0.14964610717896865, "timestamp": 1786576865.4107788, "loss": 2.1652835845947265, "grad_norm": 0.341796875, "learning_rate": 0.0007, "train/total_time_seconds": 589.6443728506565, "train/time_per_step_avg": 0.26375446785241363, "train/epoch_time_elapsed": 709.3810888081789, "train/estimated_remaining_minutes": 1.2394926756620408}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 109 |
{"step": 2180, "epoch": 0.14694978092349173, "timestamp": 1786576852.170506, "loss": 2.1814584732055664, "grad_norm": 0.3359375, "learning_rate": 0.0007, "train/total_time_seconds": 579.0546316727996, "train/time_per_step_avg": 0.2629444441944361, "train/epoch_time_elapsed": 696.1408161707222, "train/estimated_remaining_minutes": 1.4166474169365129}
|
| 110 |
{"step": 2200, "epoch": 0.1482979440512302, "timestamp": 1786576858.479852, "loss": 2.157553291320801, "grad_norm": 0.328125, "learning_rate": 0.0007, "train/total_time_seconds": 584.3338468708098, "train/time_per_step_avg": 0.2632886817678809, "train/epoch_time_elapsed": 702.4501621201634, "train/estimated_remaining_minutes": 1.3280314701609313}
|
| 111 |
{"step": 2220, "epoch": 0.14964610717896865, "timestamp": 1786576865.4107788, "loss": 2.1652835845947265, "grad_norm": 0.341796875, "learning_rate": 0.0007, "train/total_time_seconds": 589.6443728506565, "train/time_per_step_avg": 0.26375446785241363, "train/epoch_time_elapsed": 709.3810888081789, "train/estimated_remaining_minutes": 1.2394926756620408}
|
| 112 |
+
{"step": 2240, "epoch": 0.15099427030670712, "timestamp": 1786576871.690686, "loss": 2.1730274200439452, "grad_norm": 0.34375, "learning_rate": 0.0007, "train/total_time_seconds": 594.9144274070859, "train/time_per_step_avg": 0.2637659421563148, "train/epoch_time_elapsed": 715.6609964966774, "train/estimated_remaining_minutes": 1.1508761244482315}
|
| 113 |
+
{"step": 2260, "epoch": 0.15234243343444556, "timestamp": 1786576878.035702, "loss": 2.1498680114746094, "grad_norm": 0.353515625, "learning_rate": 0.0007, "train/total_time_seconds": 600.2152769267559, "train/time_per_step_avg": 0.26393290534615516, "train/epoch_time_elapsed": 722.0060120299459, "train/estimated_remaining_minutes": 1.0623279237641698}
|
| 114 |
+
{"step": 2280, "epoch": 0.15369059656218403, "timestamp": 1786576884.2997983, "loss": 2.1618186950683596, "grad_norm": 0.326171875, "learning_rate": 0.0007, "train/total_time_seconds": 605.477860070765, "train/time_per_step_avg": 0.2642322839796543, "train/epoch_time_elapsed": 728.2701090201735, "train/estimated_remaining_minutes": 0.9737217047921659}
|
| 115 |
+
{"step": 2300, "epoch": 0.15503875968992248, "timestamp": 1786576890.5432806, "loss": 2.142350959777832, "grad_norm": 0.337890625, "learning_rate": 0.0007, "train/total_time_seconds": 610.7138260900974, "train/time_per_step_avg": 0.26379979219287636, "train/epoch_time_elapsed": 734.5135913006961, "train/estimated_remaining_minutes": 0.8850925015798513}
|
| 116 |
+
{"step": 2320, "epoch": 0.15638692281766095, "timestamp": 1786576897.167037, "loss": 2.1518985748291017, "grad_norm": 0.333984375, "learning_rate": 0.0007, "train/total_time_seconds": 616.0249392129481, "train/time_per_step_avg": 0.26380566362291574, "train/epoch_time_elapsed": 741.1373476348817, "train/estimated_remaining_minutes": 0.7965839731201914}
|
| 117 |
+
{"step": 2340, "epoch": 0.1577350859453994, "timestamp": 1786576903.46742, "loss": 2.142623710632324, "grad_norm": 0.337890625, "learning_rate": 0.0007, "train/total_time_seconds": 621.279378991574, "train/time_per_step_avg": 0.26364951584488155, "train/epoch_time_elapsed": 747.4377302899957, "train/estimated_remaining_minutes": 0.7080106883094861}
|
| 118 |
+
{"step": 2360, "epoch": 0.15908324907313784, "timestamp": 1786576909.7320642, "loss": 2.1457294464111327, "grad_norm": 0.333984375, "learning_rate": 0.0007, "train/total_time_seconds": 626.5288925841451, "train/time_per_step_avg": 0.26313615657389167, "train/epoch_time_elapsed": 753.7023743912578, "train/estimated_remaining_minutes": 0.6194494700690699}
|
| 119 |
+
{"step": 2380, "epoch": 0.1604314122008763, "timestamp": 1786576915.9947436, "loss": 2.1467227935791016, "grad_norm": 0.33203125, "learning_rate": 0.0007, "train/total_time_seconds": 631.7887535169721, "train/time_per_step_avg": 0.26310893446207045, "train/epoch_time_elapsed": 759.9650537855923, "train/estimated_remaining_minutes": 0.5309149189218253}
|
| 120 |
+
{"step": 2400, "epoch": 0.16177957532861476, "timestamp": 1786576922.265703, "loss": 2.1286346435546877, "grad_norm": 0.369140625, "learning_rate": 0.0007, "train/total_time_seconds": 637.0409996919334, "train/time_per_step_avg": 0.2632717360183597, "train/epoch_time_elapsed": 766.2360133305192, "train/estimated_remaining_minutes": 0.44238958311939824}
|
| 121 |
+
{"step": 2420, "epoch": 0.16312773845635323, "timestamp": 1786576929.1628985, "loss": 2.1322181701660154, "grad_norm": 0.34375, "learning_rate": 0.0007, "train/total_time_seconds": 642.6275409348309, "train/time_per_step_avg": 0.2660260172188282, "train/epoch_time_elapsed": 773.1332089044154, "train/estimated_remaining_minutes": 0.3540647608456369}
|
| 122 |
+
{"step": 2440, "epoch": 0.16447590158409167, "timestamp": 1786576935.4599833, "loss": 2.119257354736328, "grad_norm": 0.330078125, "learning_rate": 0.0007, "train/total_time_seconds": 647.9019580893219, "train/time_per_step_avg": 0.266225790977478, "train/epoch_time_elapsed": 779.43029339239, "train/estimated_remaining_minutes": 0.26553358938086963}
|
| 123 |
+
{"step": 2460, "epoch": 0.16582406471183014, "timestamp": 1786576941.745857, "loss": 2.1314579010009767, "grad_norm": 0.341796875, "learning_rate": 0.0007, "train/total_time_seconds": 653.15468756482, "train/time_per_step_avg": 0.2662579498067498, "train/epoch_time_elapsed": 785.7161669656634, "train/estimated_remaining_minutes": 0.17700669039697023}
|
| 124 |
+
{"step": 2480, "epoch": 0.1671722278395686, "timestamp": 1786576947.9930341, "loss": 2.1324623107910154, "grad_norm": 0.34765625, "learning_rate": 0.0007, "train/total_time_seconds": 658.3901137858629, "train/time_per_step_avg": 0.26601360268890856, "train/epoch_time_elapsed": 791.9633442051709, "train/estimated_remaining_minutes": 0.08849329486369124}
|
| 125 |
+
{"step": 2498, "epoch": 0.1683855746545332, "timestamp": 1786576970.4860284, "eval_loss": 2.125929832458496, "eval_runtime": 16.8275, "eval_samples_per_second": 566.157, "eval_steps_per_second": 0.594, "train/total_time_seconds": 663.1301065795124, "train/time_per_step_avg": 0.2661243563145399, "train/epoch_time_elapsed": 814.4563361778855, "train/estimated_remaining_minutes": 0.008848813805437847}
|
| 126 |
+
{"step": 2500, "epoch": 0.16852039096730703, "timestamp": 1786576971.1115985, "loss": 2.1140785217285156, "grad_norm": 0.333984375, "learning_rate": 0.0007, "train/total_time_seconds": 663.6534794270992, "train/time_per_step_avg": 0.26612479735165834, "train/epoch_time_elapsed": 815.0819086916745, "train/estimated_remaining_minutes": 0.0}
|
| 127 |
+
{"step": 2500, "epoch": 0.16852039096730703, "timestamp": 1786576987.748201, "eval_loss": 2.1262547969818115, "eval_runtime": 16.635, "eval_samples_per_second": 572.71, "eval_steps_per_second": 0.601, "train/total_time_seconds": 663.6534794270992, "train/time_per_step_avg": 0.26612479735165834, "train/epoch_time_elapsed": 831.7185098268092, "train/estimated_remaining_minutes": 0.0}
|
| 128 |
+
{"step": 2500, "epoch": 0.16852039096730703, "timestamp": 1786576988.0397062, "train_runtime": 832.8333, "train_samples_per_second": 192.115, "train_steps_per_second": 3.002, "total_flos": 8065709506560000.0, "train_loss": 3.0849436630249025, "train/total_time_seconds": 663.6534794270992, "train/time_per_step_avg": 0.26612479735165834, "train/epoch_time_elapsed": 832.0100145116448, "train/estimated_remaining_minutes": 0.0}
|
| 129 |
+
{"step": 2500, "epoch": 0.16852039096730703, "timestamp": 1786577004.835671, "eval_loss": 2.1262547969818115, "eval_runtime": 16.7922, "eval_samples_per_second": 567.347, "eval_steps_per_second": 0.596, "train/total_time_seconds": 663.6534794270992, "train/time_per_step_avg": 0.26612479735165834, "train/epoch_time_elapsed": 848.8059792406857, "train/estimated_remaining_minutes": 0.0}
|