Upload model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- runs/Apr19_07-16-14_jpbot-001-03.jupiter.internal/events.out.tfevents.1745039794.jpbot-001-03.jupiter.internal.1268012.0 +3 -0
- special_tokens_map.json +31 -0
- start_end.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +225 -0
- trainer_state.json +1610 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: other
|
| 4 |
+
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
+
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- full
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: b1_math_top_16_3k
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# b1_math_top_16_3k
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/b1_math_top_16_3k dataset.
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 2e-05
|
| 39 |
+
- train_batch_size: 1
|
| 40 |
+
- eval_batch_size: 8
|
| 41 |
+
- seed: 42
|
| 42 |
+
- distributed_type: multi-GPU
|
| 43 |
+
- num_devices: 4
|
| 44 |
+
- gradient_accumulation_steps: 24
|
| 45 |
+
- total_train_batch_size: 96
|
| 46 |
+
- total_eval_batch_size: 32
|
| 47 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 48 |
+
- lr_scheduler_type: cosine
|
| 49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 50 |
+
- num_epochs: 7.0
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
### Framework versions
|
| 57 |
+
|
| 58 |
+
- Transformers 4.46.1
|
| 59 |
+
- Pytorch 2.6.0a0+ecf3bae40a.nv25.01
|
| 60 |
+
- Datasets 3.5.0
|
| 61 |
+
- Tokenizers 0.20.3
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 6.850632911392405,
|
| 3 |
+
"total_flos": 2.86943794002133e+17,
|
| 4 |
+
"train_loss": 0.2993284181159522,
|
| 5 |
+
"train_runtime": 12424.2407,
|
| 6 |
+
"train_samples_per_second": 1.78,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 3584,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 28,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rope_theta": 1000000.0,
|
| 22 |
+
"sliding_window": null,
|
| 23 |
+
"tie_word_embeddings": false,
|
| 24 |
+
"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.46.1",
|
| 26 |
+
"use_cache": false,
|
| 27 |
+
"use_sliding_window": false,
|
| 28 |
+
"vocab_size": 152064
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.46.1"
|
| 14 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0542360e047e23898c2f31e302ef0c4d8c9015bce5608f96b1af6417324c33f8
|
| 3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79ecb8742c5e0f382808860d9ee6f1d21776994d4a787c4e70521ca0c7b748f0
|
| 3 |
+
size 4932751008
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de48557d25d96257a65e1ddab0a9d7743a77d8b3f074822b7d962e886a226d8f
|
| 3 |
+
size 4330865200
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e0cc238ab40b63b46972b89c43459883ad4d3f88ad33a4b6b1e8179677d6b6d
|
| 3 |
+
size 1089994880
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 15231233024
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 296 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 344 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
| 345 |
+
}
|
| 346 |
+
}
|
runs/Apr19_07-16-14_jpbot-001-03.jupiter.internal/events.out.tfevents.1745039794.jpbot-001-03.jupiter.internal.1268012.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9de03e74705861ab2a1f17ec4e18716a50e14003945227687e7c02dc855bf94d
|
| 3 |
+
size 52629
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
start_end.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"start_time": "2025-04-19 07:16:14", "end_time": "2025-04-19 10:43:49"}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"padding_side": "right",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 6.850632911392405,
|
| 3 |
+
"total_flos": 2.86943794002133e+17,
|
| 4 |
+
"train_loss": 0.2993284181159522,
|
| 5 |
+
"train_runtime": 12424.2407,
|
| 6 |
+
"train_samples_per_second": 1.78,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,225 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 1, "total_steps": 224, "loss": 0.8862, "lr": 8.695652173913044e-07, "epoch": 0.030379746835443037, "percentage": 0.45, "elapsed_time": "0:00:48", "remaining_time": "3:01:19"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 224, "loss": 0.8348, "lr": 1.7391304347826088e-06, "epoch": 0.060759493670886074, "percentage": 0.89, "elapsed_time": "0:01:50", "remaining_time": "3:24:01"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 224, "loss": 0.8919, "lr": 2.6086956521739132e-06, "epoch": 0.09113924050632911, "percentage": 1.34, "elapsed_time": "0:02:50", "remaining_time": "3:29:04"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 224, "loss": 0.8317, "lr": 3.4782608695652175e-06, "epoch": 0.12151898734177215, "percentage": 1.79, "elapsed_time": "0:03:33", "remaining_time": "3:15:45"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 224, "loss": 0.8164, "lr": 4.347826086956522e-06, "epoch": 0.1518987341772152, "percentage": 2.23, "elapsed_time": "0:04:27", "remaining_time": "3:15:23"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 224, "loss": 0.7569, "lr": 5.2173913043478265e-06, "epoch": 0.18227848101265823, "percentage": 2.68, "elapsed_time": "0:05:21", "remaining_time": "3:14:54"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 224, "loss": 0.7122, "lr": 6.086956521739132e-06, "epoch": 0.21265822784810126, "percentage": 3.12, "elapsed_time": "0:06:20", "remaining_time": "3:16:38"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 224, "loss": 0.7835, "lr": 6.956521739130435e-06, "epoch": 0.2430379746835443, "percentage": 3.57, "elapsed_time": "0:07:08", "remaining_time": "3:13:00"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 224, "loss": 0.7065, "lr": 7.82608695652174e-06, "epoch": 0.27341772151898736, "percentage": 4.02, "elapsed_time": "0:07:56", "remaining_time": "3:09:36"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 224, "loss": 0.7161, "lr": 8.695652173913044e-06, "epoch": 0.3037974683544304, "percentage": 4.46, "elapsed_time": "0:08:36", "remaining_time": "3:04:16"}
|
| 11 |
+
{"current_steps": 11, "total_steps": 224, "loss": 0.6817, "lr": 9.565217391304349e-06, "epoch": 0.3341772151898734, "percentage": 4.91, "elapsed_time": "0:09:26", "remaining_time": "3:02:56"}
|
| 12 |
+
{"current_steps": 12, "total_steps": 224, "loss": 0.7038, "lr": 1.0434782608695653e-05, "epoch": 0.36455696202531646, "percentage": 5.36, "elapsed_time": "0:10:21", "remaining_time": "3:03:03"}
|
| 13 |
+
{"current_steps": 13, "total_steps": 224, "loss": 0.6703, "lr": 1.1304347826086957e-05, "epoch": 0.3949367088607595, "percentage": 5.8, "elapsed_time": "0:11:14", "remaining_time": "3:02:29"}
|
| 14 |
+
{"current_steps": 14, "total_steps": 224, "loss": 0.652, "lr": 1.2173913043478263e-05, "epoch": 0.4253164556962025, "percentage": 6.25, "elapsed_time": "0:12:03", "remaining_time": "3:00:52"}
|
| 15 |
+
{"current_steps": 15, "total_steps": 224, "loss": 0.6597, "lr": 1.3043478260869566e-05, "epoch": 0.45569620253164556, "percentage": 6.7, "elapsed_time": "0:13:04", "remaining_time": "3:02:12"}
|
| 16 |
+
{"current_steps": 16, "total_steps": 224, "loss": 0.5939, "lr": 1.391304347826087e-05, "epoch": 0.4860759493670886, "percentage": 7.14, "elapsed_time": "0:13:54", "remaining_time": "3:00:54"}
|
| 17 |
+
{"current_steps": 17, "total_steps": 224, "loss": 0.6429, "lr": 1.4782608695652174e-05, "epoch": 0.5164556962025316, "percentage": 7.59, "elapsed_time": "0:14:42", "remaining_time": "2:59:10"}
|
| 18 |
+
{"current_steps": 18, "total_steps": 224, "loss": 0.6238, "lr": 1.565217391304348e-05, "epoch": 0.5468354430379747, "percentage": 8.04, "elapsed_time": "0:15:38", "remaining_time": "2:59:03"}
|
| 19 |
+
{"current_steps": 19, "total_steps": 224, "loss": 0.6051, "lr": 1.6521739130434785e-05, "epoch": 0.5772151898734177, "percentage": 8.48, "elapsed_time": "0:16:31", "remaining_time": "2:58:13"}
|
| 20 |
+
{"current_steps": 20, "total_steps": 224, "loss": 0.5999, "lr": 1.739130434782609e-05, "epoch": 0.6075949367088608, "percentage": 8.93, "elapsed_time": "0:17:22", "remaining_time": "2:57:16"}
|
| 21 |
+
{"current_steps": 21, "total_steps": 224, "loss": 0.5697, "lr": 1.8260869565217393e-05, "epoch": 0.6379746835443038, "percentage": 9.38, "elapsed_time": "0:18:16", "remaining_time": "2:56:35"}
|
| 22 |
+
{"current_steps": 22, "total_steps": 224, "loss": 0.5683, "lr": 1.9130434782608697e-05, "epoch": 0.6683544303797468, "percentage": 9.82, "elapsed_time": "0:19:01", "remaining_time": "2:54:44"}
|
| 23 |
+
{"current_steps": 23, "total_steps": 224, "loss": 0.597, "lr": 2e-05, "epoch": 0.6987341772151898, "percentage": 10.27, "elapsed_time": "0:20:01", "remaining_time": "2:54:57"}
|
| 24 |
+
{"current_steps": 24, "total_steps": 224, "loss": 0.5507, "lr": 1.999877856940653e-05, "epoch": 0.7291139240506329, "percentage": 10.71, "elapsed_time": "0:20:54", "remaining_time": "2:54:10"}
|
| 25 |
+
{"current_steps": 25, "total_steps": 224, "loss": 0.5784, "lr": 1.999511457600466e-05, "epoch": 0.759493670886076, "percentage": 11.16, "elapsed_time": "0:21:55", "remaining_time": "2:54:27"}
|
| 26 |
+
{"current_steps": 26, "total_steps": 224, "loss": 0.5719, "lr": 1.9989008914857115e-05, "epoch": 0.789873417721519, "percentage": 11.61, "elapsed_time": "0:22:56", "remaining_time": "2:54:41"}
|
| 27 |
+
{"current_steps": 27, "total_steps": 224, "loss": 0.5649, "lr": 1.998046307749216e-05, "epoch": 0.8202531645569621, "percentage": 12.05, "elapsed_time": "0:23:49", "remaining_time": "2:53:49"}
|
| 28 |
+
{"current_steps": 28, "total_steps": 224, "loss": 0.55, "lr": 1.9969479151539238e-05, "epoch": 0.850632911392405, "percentage": 12.5, "elapsed_time": "0:24:49", "remaining_time": "2:53:47"}
|
| 29 |
+
{"current_steps": 29, "total_steps": 224, "loss": 0.5935, "lr": 1.9956059820218982e-05, "epoch": 0.8810126582278481, "percentage": 12.95, "elapsed_time": "0:25:50", "remaining_time": "2:53:45"}
|
| 30 |
+
{"current_steps": 30, "total_steps": 224, "loss": 0.5589, "lr": 1.9940208361687762e-05, "epoch": 0.9113924050632911, "percentage": 13.39, "elapsed_time": "0:26:41", "remaining_time": "2:52:38"}
|
| 31 |
+
{"current_steps": 31, "total_steps": 224, "loss": 0.5388, "lr": 1.9921928648236855e-05, "epoch": 0.9417721518987342, "percentage": 13.84, "elapsed_time": "0:27:44", "remaining_time": "2:52:45"}
|
| 32 |
+
{"current_steps": 32, "total_steps": 224, "loss": 0.5358, "lr": 1.990122514534651e-05, "epoch": 0.9721518987341772, "percentage": 14.29, "elapsed_time": "0:28:45", "remaining_time": "2:52:34"}
|
| 33 |
+
{"current_steps": 33, "total_steps": 224, "loss": 0.7344, "lr": 1.9878102910595097e-05, "epoch": 1.010126582278481, "percentage": 14.73, "elapsed_time": "0:30:21", "remaining_time": "2:55:40"}
|
| 34 |
+
{"current_steps": 34, "total_steps": 224, "loss": 0.4806, "lr": 1.985256759242359e-05, "epoch": 1.040506329113924, "percentage": 15.18, "elapsed_time": "0:31:05", "remaining_time": "2:53:45"}
|
| 35 |
+
{"current_steps": 35, "total_steps": 224, "loss": 0.4871, "lr": 1.982462542875576e-05, "epoch": 1.070886075949367, "percentage": 15.62, "elapsed_time": "0:31:56", "remaining_time": "2:52:26"}
|
| 36 |
+
{"current_steps": 36, "total_steps": 224, "loss": 0.4807, "lr": 1.979428324547432e-05, "epoch": 1.1012658227848102, "percentage": 16.07, "elapsed_time": "0:32:44", "remaining_time": "2:51:00"}
|
| 37 |
+
{"current_steps": 37, "total_steps": 224, "loss": 0.5233, "lr": 1.9761548454753455e-05, "epoch": 1.1316455696202532, "percentage": 16.52, "elapsed_time": "0:33:53", "remaining_time": "2:51:19"}
|
| 38 |
+
{"current_steps": 38, "total_steps": 224, "loss": 0.4424, "lr": 1.972642905324813e-05, "epoch": 1.1620253164556962, "percentage": 16.96, "elapsed_time": "0:34:57", "remaining_time": "2:51:06"}
|
| 39 |
+
{"current_steps": 39, "total_steps": 224, "loss": 0.4689, "lr": 1.9688933620140638e-05, "epoch": 1.1924050632911392, "percentage": 17.41, "elapsed_time": "0:35:45", "remaining_time": "2:49:39"}
|
| 40 |
+
{"current_steps": 40, "total_steps": 224, "loss": 0.5329, "lr": 1.96490713150448e-05, "epoch": 1.2227848101265824, "percentage": 17.86, "elapsed_time": "0:36:47", "remaining_time": "2:49:16"}
|
| 41 |
+
{"current_steps": 41, "total_steps": 224, "loss": 0.4655, "lr": 1.9606851875768404e-05, "epoch": 1.2531645569620253, "percentage": 18.3, "elapsed_time": "0:37:31", "remaining_time": "2:47:29"}
|
| 42 |
+
{"current_steps": 42, "total_steps": 224, "loss": 0.4712, "lr": 1.956228561593441e-05, "epoch": 1.2835443037974683, "percentage": 18.75, "elapsed_time": "0:38:21", "remaining_time": "2:46:12"}
|
| 43 |
+
{"current_steps": 43, "total_steps": 224, "loss": 0.5023, "lr": 1.9515383422461457e-05, "epoch": 1.3139240506329113, "percentage": 19.2, "elapsed_time": "0:39:10", "remaining_time": "2:44:55"}
|
| 44 |
+
{"current_steps": 44, "total_steps": 224, "loss": 0.4177, "lr": 1.9466156752904344e-05, "epoch": 1.3443037974683545, "percentage": 19.64, "elapsed_time": "0:39:51", "remaining_time": "2:43:03"}
|
| 45 |
+
{"current_steps": 45, "total_steps": 224, "loss": 0.5141, "lr": 1.9414617632655114e-05, "epoch": 1.3746835443037975, "percentage": 20.09, "elapsed_time": "0:40:59", "remaining_time": "2:43:05"}
|
| 46 |
+
{"current_steps": 46, "total_steps": 224, "loss": 0.4599, "lr": 1.9360778652005416e-05, "epoch": 1.4050632911392404, "percentage": 20.54, "elapsed_time": "0:41:51", "remaining_time": "2:42:00"}
|
| 47 |
+
{"current_steps": 47, "total_steps": 224, "loss": 0.4406, "lr": 1.9304652963070868e-05, "epoch": 1.4354430379746836, "percentage": 20.98, "elapsed_time": "0:42:43", "remaining_time": "2:40:53"}
|
| 48 |
+
{"current_steps": 48, "total_steps": 224, "loss": 0.5134, "lr": 1.9246254276578175e-05, "epoch": 1.4658227848101266, "percentage": 21.43, "elapsed_time": "0:43:35", "remaining_time": "2:39:51"}
|
| 49 |
+
{"current_steps": 49, "total_steps": 224, "loss": 0.444, "lr": 1.9185596858515797e-05, "epoch": 1.4962025316455696, "percentage": 21.88, "elapsed_time": "0:44:25", "remaining_time": "2:38:38"}
|
| 50 |
+
{"current_steps": 50, "total_steps": 224, "loss": 0.3933, "lr": 1.9122695526648968e-05, "epoch": 1.5265822784810128, "percentage": 22.32, "elapsed_time": "0:45:09", "remaining_time": "2:37:07"}
|
| 51 |
+
{"current_steps": 51, "total_steps": 224, "loss": 0.4488, "lr": 1.905756564689991e-05, "epoch": 1.5569620253164556, "percentage": 22.77, "elapsed_time": "0:45:55", "remaining_time": "2:35:47"}
|
| 52 |
+
{"current_steps": 52, "total_steps": 224, "loss": 0.5049, "lr": 1.8990223129594146e-05, "epoch": 1.5873417721518988, "percentage": 23.21, "elapsed_time": "0:47:00", "remaining_time": "2:35:29"}
|
| 53 |
+
{"current_steps": 53, "total_steps": 224, "loss": 0.4713, "lr": 1.8920684425573865e-05, "epoch": 1.6177215189873417, "percentage": 23.66, "elapsed_time": "0:47:42", "remaining_time": "2:33:54"}
|
| 54 |
+
{"current_steps": 54, "total_steps": 224, "loss": 0.44, "lr": 1.884896652217917e-05, "epoch": 1.6481012658227847, "percentage": 24.11, "elapsed_time": "0:48:30", "remaining_time": "2:32:42"}
|
| 55 |
+
{"current_steps": 55, "total_steps": 224, "loss": 0.4619, "lr": 1.877508693909831e-05, "epoch": 1.678481012658228, "percentage": 24.55, "elapsed_time": "0:49:25", "remaining_time": "2:31:51"}
|
| 56 |
+
{"current_steps": 56, "total_steps": 224, "loss": 0.4267, "lr": 1.8699063724087905e-05, "epoch": 1.7088607594936709, "percentage": 25.0, "elapsed_time": "0:50:18", "remaining_time": "2:30:56"}
|
| 57 |
+
{"current_steps": 57, "total_steps": 224, "loss": 0.4761, "lr": 1.862091544856407e-05, "epoch": 1.7392405063291139, "percentage": 25.45, "elapsed_time": "0:51:12", "remaining_time": "2:30:01"}
|
| 58 |
+
{"current_steps": 58, "total_steps": 224, "loss": 0.4637, "lr": 1.854066120306571e-05, "epoch": 1.769620253164557, "percentage": 25.89, "elapsed_time": "0:52:14", "remaining_time": "2:29:31"}
|
| 59 |
+
{"current_steps": 59, "total_steps": 224, "loss": 0.4436, "lr": 1.8458320592590976e-05, "epoch": 1.8, "percentage": 26.34, "elapsed_time": "0:53:24", "remaining_time": "2:29:22"}
|
| 60 |
+
{"current_steps": 60, "total_steps": 224, "loss": 0.4885, "lr": 1.837391373180801e-05, "epoch": 1.830379746835443, "percentage": 26.79, "elapsed_time": "0:54:30", "remaining_time": "2:28:58"}
|
| 61 |
+
{"current_steps": 61, "total_steps": 224, "loss": 0.4367, "lr": 1.8287461240141217e-05, "epoch": 1.8607594936708862, "percentage": 27.23, "elapsed_time": "0:55:26", "remaining_time": "2:28:09"}
|
| 62 |
+
{"current_steps": 62, "total_steps": 224, "loss": 0.4405, "lr": 1.8198984236734246e-05, "epoch": 1.891139240506329, "percentage": 27.68, "elapsed_time": "0:56:20", "remaining_time": "2:27:13"}
|
| 63 |
+
{"current_steps": 63, "total_steps": 224, "loss": 0.4269, "lr": 1.8108504335290852e-05, "epoch": 1.9215189873417722, "percentage": 28.12, "elapsed_time": "0:57:02", "remaining_time": "2:25:46"}
|
| 64 |
+
{"current_steps": 64, "total_steps": 224, "loss": 0.4215, "lr": 1.8016043638794975e-05, "epoch": 1.9518987341772152, "percentage": 28.57, "elapsed_time": "0:57:58", "remaining_time": "2:24:55"}
|
| 65 |
+
{"current_steps": 65, "total_steps": 224, "loss": 0.5136, "lr": 1.7921624734111292e-05, "epoch": 1.9822784810126581, "percentage": 29.02, "elapsed_time": "0:58:52", "remaining_time": "2:24:01"}
|
| 66 |
+
{"current_steps": 66, "total_steps": 224, "loss": 0.5217, "lr": 1.7825270686467567e-05, "epoch": 2.020253164556962, "percentage": 29.46, "elapsed_time": "1:00:34", "remaining_time": "2:25:01"}
|
| 67 |
+
{"current_steps": 67, "total_steps": 224, "loss": 0.3458, "lr": 1.7727005033820117e-05, "epoch": 2.050632911392405, "percentage": 29.91, "elapsed_time": "1:01:26", "remaining_time": "2:23:58"}
|
| 68 |
+
{"current_steps": 68, "total_steps": 224, "loss": 0.3504, "lr": 1.762685178110382e-05, "epoch": 2.081012658227848, "percentage": 30.36, "elapsed_time": "1:02:13", "remaining_time": "2:22:46"}
|
| 69 |
+
{"current_steps": 69, "total_steps": 224, "loss": 0.3902, "lr": 1.752483539436807e-05, "epoch": 2.1113924050632913, "percentage": 30.8, "elapsed_time": "1:03:20", "remaining_time": "2:22:17"}
|
| 70 |
+
{"current_steps": 70, "total_steps": 224, "loss": 0.3084, "lr": 1.7420980794800013e-05, "epoch": 2.141772151898734, "percentage": 31.25, "elapsed_time": "1:03:57", "remaining_time": "2:20:42"}
|
| 71 |
+
{"current_steps": 71, "total_steps": 224, "loss": 0.4264, "lr": 1.731531335263669e-05, "epoch": 2.1721518987341772, "percentage": 31.7, "elapsed_time": "1:04:56", "remaining_time": "2:19:56"}
|
| 72 |
+
{"current_steps": 72, "total_steps": 224, "loss": 0.3048, "lr": 1.720785888096743e-05, "epoch": 2.2025316455696204, "percentage": 32.14, "elapsed_time": "1:05:52", "remaining_time": "2:19:04"}
|
| 73 |
+
{"current_steps": 73, "total_steps": 224, "loss": 0.3685, "lr": 1.7098643629428035e-05, "epoch": 2.232911392405063, "percentage": 32.59, "elapsed_time": "1:07:02", "remaining_time": "2:18:39"}
|
| 74 |
+
{"current_steps": 74, "total_steps": 224, "loss": 0.3297, "lr": 1.698769427778842e-05, "epoch": 2.2632911392405064, "percentage": 33.04, "elapsed_time": "1:07:53", "remaining_time": "2:17:36"}
|
| 75 |
+
{"current_steps": 75, "total_steps": 224, "loss": 0.3494, "lr": 1.687503792943506e-05, "epoch": 2.293670886075949, "percentage": 33.48, "elapsed_time": "1:08:38", "remaining_time": "2:16:22"}
|
| 76 |
+
{"current_steps": 76, "total_steps": 224, "loss": 0.3359, "lr": 1.6760702104750046e-05, "epoch": 2.3240506329113924, "percentage": 33.93, "elapsed_time": "1:09:35", "remaining_time": "2:15:32"}
|
| 77 |
+
{"current_steps": 77, "total_steps": 224, "loss": 0.3738, "lr": 1.664471473438822e-05, "epoch": 2.3544303797468356, "percentage": 34.38, "elapsed_time": "1:10:38", "remaining_time": "2:14:52"}
|
| 78 |
+
{"current_steps": 78, "total_steps": 224, "loss": 0.3256, "lr": 1.6527104152454096e-05, "epoch": 2.3848101265822783, "percentage": 34.82, "elapsed_time": "1:11:44", "remaining_time": "2:14:16"}
|
| 79 |
+
{"current_steps": 79, "total_steps": 224, "loss": 0.3154, "lr": 1.6407899089580263e-05, "epoch": 2.4151898734177215, "percentage": 35.27, "elapsed_time": "1:12:34", "remaining_time": "2:13:12"}
|
| 80 |
+
{"current_steps": 80, "total_steps": 224, "loss": 0.3466, "lr": 1.628712866590885e-05, "epoch": 2.4455696202531647, "percentage": 35.71, "elapsed_time": "1:13:26", "remaining_time": "2:12:11"}
|
| 81 |
+
{"current_steps": 81, "total_steps": 224, "loss": 0.3428, "lr": 1.6164822383977912e-05, "epoch": 2.4759493670886075, "percentage": 36.16, "elapsed_time": "1:14:28", "remaining_time": "2:11:29"}
|
| 82 |
+
{"current_steps": 82, "total_steps": 224, "loss": 0.3096, "lr": 1.604101012151436e-05, "epoch": 2.5063291139240507, "percentage": 36.61, "elapsed_time": "1:15:17", "remaining_time": "2:10:22"}
|
| 83 |
+
{"current_steps": 83, "total_steps": 224, "loss": 0.3437, "lr": 1.5915722124135227e-05, "epoch": 2.536708860759494, "percentage": 37.05, "elapsed_time": "1:16:12", "remaining_time": "2:09:28"}
|
| 84 |
+
{"current_steps": 84, "total_steps": 224, "loss": 0.3118, "lr": 1.5788988997959115e-05, "epoch": 2.5670886075949366, "percentage": 37.5, "elapsed_time": "1:16:57", "remaining_time": "2:08:16"}
|
| 85 |
+
{"current_steps": 85, "total_steps": 224, "loss": 0.3807, "lr": 1.5660841702129533e-05, "epoch": 2.59746835443038, "percentage": 37.95, "elapsed_time": "1:18:01", "remaining_time": "2:07:35"}
|
| 86 |
+
{"current_steps": 86, "total_steps": 224, "loss": 0.3003, "lr": 1.5531311541251995e-05, "epoch": 2.6278481012658226, "percentage": 38.39, "elapsed_time": "1:18:45", "remaining_time": "2:06:22"}
|
| 87 |
+
{"current_steps": 87, "total_steps": 224, "loss": 0.3883, "lr": 1.540043015774676e-05, "epoch": 2.6582278481012658, "percentage": 38.84, "elapsed_time": "1:19:39", "remaining_time": "2:05:26"}
|
| 88 |
+
{"current_steps": 88, "total_steps": 224, "loss": 0.304, "lr": 1.5268229524119007e-05, "epoch": 2.688607594936709, "percentage": 39.29, "elapsed_time": "1:20:19", "remaining_time": "2:04:08"}
|
| 89 |
+
{"current_steps": 89, "total_steps": 224, "loss": 0.3603, "lr": 1.513474193514842e-05, "epoch": 2.7189873417721517, "percentage": 39.73, "elapsed_time": "1:21:06", "remaining_time": "2:03:01"}
|
| 90 |
+
{"current_steps": 90, "total_steps": 224, "loss": 0.2964, "lr": 1.5000000000000002e-05, "epoch": 2.749367088607595, "percentage": 40.18, "elapsed_time": "1:21:48", "remaining_time": "2:01:48"}
|
| 91 |
+
{"current_steps": 91, "total_steps": 224, "loss": 0.3442, "lr": 1.4864036634258112e-05, "epoch": 2.779746835443038, "percentage": 40.62, "elapsed_time": "1:22:46", "remaining_time": "2:00:58"}
|
| 92 |
+
{"current_steps": 92, "total_steps": 224, "loss": 0.3446, "lr": 1.4726885051885654e-05, "epoch": 2.810126582278481, "percentage": 41.07, "elapsed_time": "1:23:41", "remaining_time": "2:00:04"}
|
| 93 |
+
{"current_steps": 93, "total_steps": 224, "loss": 0.3397, "lr": 1.4588578757110359e-05, "epoch": 2.840506329113924, "percentage": 41.52, "elapsed_time": "1:24:30", "remaining_time": "1:59:02"}
|
| 94 |
+
{"current_steps": 94, "total_steps": 224, "loss": 0.3069, "lr": 1.4449151536240167e-05, "epoch": 2.8708860759493673, "percentage": 41.96, "elapsed_time": "1:25:28", "remaining_time": "1:58:12"}
|
| 95 |
+
{"current_steps": 95, "total_steps": 224, "loss": 0.3638, "lr": 1.4308637449409705e-05, "epoch": 2.90126582278481, "percentage": 42.41, "elapsed_time": "1:26:26", "remaining_time": "1:57:22"}
|
| 96 |
+
{"current_steps": 96, "total_steps": 224, "loss": 0.3712, "lr": 1.4167070822259868e-05, "epoch": 2.9316455696202532, "percentage": 42.86, "elapsed_time": "1:27:17", "remaining_time": "1:56:23"}
|
| 97 |
+
{"current_steps": 97, "total_steps": 224, "loss": 0.3542, "lr": 1.402448623755254e-05, "epoch": 2.962025316455696, "percentage": 43.3, "elapsed_time": "1:28:15", "remaining_time": "1:55:33"}
|
| 98 |
+
{"current_steps": 98, "total_steps": 224, "loss": 0.4107, "lr": 1.3880918526722497e-05, "epoch": 2.992405063291139, "percentage": 43.75, "elapsed_time": "1:29:14", "remaining_time": "1:54:44"}
|
| 99 |
+
{"current_steps": 99, "total_steps": 224, "loss": 0.2537, "lr": 1.3736402761368597e-05, "epoch": 3.030379746835443, "percentage": 44.2, "elapsed_time": "1:30:35", "remaining_time": "1:54:22"}
|
| 100 |
+
{"current_steps": 100, "total_steps": 224, "loss": 0.2451, "lr": 1.3590974244686248e-05, "epoch": 3.060759493670886, "percentage": 44.64, "elapsed_time": "1:31:37", "remaining_time": "1:53:36"}
|
| 101 |
+
{"current_steps": 101, "total_steps": 224, "loss": 0.2225, "lr": 1.344466850284333e-05, "epoch": 3.091139240506329, "percentage": 45.09, "elapsed_time": "1:32:32", "remaining_time": "1:52:42"}
|
| 102 |
+
{"current_steps": 102, "total_steps": 224, "loss": 0.2686, "lr": 1.3297521276301666e-05, "epoch": 3.1215189873417724, "percentage": 45.54, "elapsed_time": "1:33:23", "remaining_time": "1:51:42"}
|
| 103 |
+
{"current_steps": 103, "total_steps": 224, "loss": 0.2613, "lr": 1.3149568511086104e-05, "epoch": 3.151898734177215, "percentage": 45.98, "elapsed_time": "1:34:24", "remaining_time": "1:50:54"}
|
| 104 |
+
{"current_steps": 104, "total_steps": 224, "loss": 0.2346, "lr": 1.300084635000341e-05, "epoch": 3.1822784810126583, "percentage": 46.43, "elapsed_time": "1:35:23", "remaining_time": "1:50:03"}
|
| 105 |
+
{"current_steps": 105, "total_steps": 224, "loss": 0.2366, "lr": 1.2851391123813075e-05, "epoch": 3.212658227848101, "percentage": 46.88, "elapsed_time": "1:36:18", "remaining_time": "1:49:08"}
|
| 106 |
+
{"current_steps": 106, "total_steps": 224, "loss": 0.2357, "lr": 1.2701239342352223e-05, "epoch": 3.2430379746835443, "percentage": 47.32, "elapsed_time": "1:37:14", "remaining_time": "1:48:14"}
|
| 107 |
+
{"current_steps": 107, "total_steps": 224, "loss": 0.2537, "lr": 1.2550427685616767e-05, "epoch": 3.2734177215189875, "percentage": 47.77, "elapsed_time": "1:38:03", "remaining_time": "1:47:13"}
|
| 108 |
+
{"current_steps": 108, "total_steps": 224, "loss": 0.2325, "lr": 1.239899299480098e-05, "epoch": 3.3037974683544302, "percentage": 48.21, "elapsed_time": "1:38:47", "remaining_time": "1:46:07"}
|
| 109 |
+
{"current_steps": 109, "total_steps": 224, "loss": 0.2302, "lr": 1.2246972263297718e-05, "epoch": 3.3341772151898734, "percentage": 48.66, "elapsed_time": "1:39:41", "remaining_time": "1:45:10"}
|
| 110 |
+
{"current_steps": 110, "total_steps": 224, "loss": 0.2379, "lr": 1.2094402627661447e-05, "epoch": 3.3645569620253166, "percentage": 49.11, "elapsed_time": "1:40:35", "remaining_time": "1:44:14"}
|
| 111 |
+
{"current_steps": 111, "total_steps": 224, "loss": 0.2196, "lr": 1.1941321358536278e-05, "epoch": 3.3949367088607594, "percentage": 49.55, "elapsed_time": "1:41:22", "remaining_time": "1:43:11"}
|
| 112 |
+
{"current_steps": 112, "total_steps": 224, "loss": 0.2417, "lr": 1.1787765851551296e-05, "epoch": 3.4253164556962026, "percentage": 50.0, "elapsed_time": "1:42:21", "remaining_time": "1:42:21"}
|
| 113 |
+
{"current_steps": 113, "total_steps": 224, "loss": 0.2462, "lr": 1.1633773618185302e-05, "epoch": 3.4556962025316453, "percentage": 50.45, "elapsed_time": "1:43:21", "remaining_time": "1:41:31"}
|
| 114 |
+
{"current_steps": 114, "total_steps": 224, "loss": 0.2291, "lr": 1.14793822766033e-05, "epoch": 3.4860759493670885, "percentage": 50.89, "elapsed_time": "1:44:03", "remaining_time": "1:40:24"}
|
| 115 |
+
{"current_steps": 115, "total_steps": 224, "loss": 0.2374, "lr": 1.132462954246688e-05, "epoch": 3.5164556962025317, "percentage": 51.34, "elapsed_time": "1:44:58", "remaining_time": "1:39:29"}
|
| 116 |
+
{"current_steps": 116, "total_steps": 224, "loss": 0.2376, "lr": 1.1169553219720828e-05, "epoch": 3.546835443037975, "percentage": 51.79, "elapsed_time": "1:46:06", "remaining_time": "1:38:47"}
|
| 117 |
+
{"current_steps": 117, "total_steps": 224, "loss": 0.242, "lr": 1.1014191191358118e-05, "epoch": 3.5772151898734177, "percentage": 52.23, "elapsed_time": "1:46:59", "remaining_time": "1:37:50"}
|
| 118 |
+
{"current_steps": 118, "total_steps": 224, "loss": 0.2476, "lr": 1.085858141016566e-05, "epoch": 3.607594936708861, "percentage": 52.68, "elapsed_time": "1:47:59", "remaining_time": "1:37:00"}
|
| 119 |
+
{"current_steps": 119, "total_steps": 224, "loss": 0.2364, "lr": 1.070276188945293e-05, "epoch": 3.6379746835443036, "percentage": 53.12, "elapsed_time": "1:49:05", "remaining_time": "1:36:15"}
|
| 120 |
+
{"current_steps": 120, "total_steps": 224, "loss": 0.2354, "lr": 1.0546770693765859e-05, "epoch": 3.668354430379747, "percentage": 53.57, "elapsed_time": "1:50:10", "remaining_time": "1:35:29"}
|
| 121 |
+
{"current_steps": 121, "total_steps": 224, "loss": 0.2284, "lr": 1.0390645929588197e-05, "epoch": 3.69873417721519, "percentage": 54.02, "elapsed_time": "1:50:55", "remaining_time": "1:34:25"}
|
| 122 |
+
{"current_steps": 122, "total_steps": 224, "loss": 0.2413, "lr": 1.0234425736032607e-05, "epoch": 3.729113924050633, "percentage": 54.46, "elapsed_time": "1:51:53", "remaining_time": "1:33:32"}
|
| 123 |
+
{"current_steps": 123, "total_steps": 224, "loss": 0.2467, "lr": 1.007814827552384e-05, "epoch": 3.759493670886076, "percentage": 54.91, "elapsed_time": "1:52:49", "remaining_time": "1:32:38"}
|
| 124 |
+
{"current_steps": 124, "total_steps": 224, "loss": 0.213, "lr": 9.92185172447616e-06, "epoch": 3.7898734177215188, "percentage": 55.36, "elapsed_time": "1:53:43", "remaining_time": "1:31:42"}
|
| 125 |
+
{"current_steps": 125, "total_steps": 224, "loss": 0.244, "lr": 9.765574263967397e-06, "epoch": 3.820253164556962, "percentage": 55.8, "elapsed_time": "1:54:39", "remaining_time": "1:30:48"}
|
| 126 |
+
{"current_steps": 126, "total_steps": 224, "loss": 0.2324, "lr": 9.609354070411807e-06, "epoch": 3.850632911392405, "percentage": 56.25, "elapsed_time": "1:55:31", "remaining_time": "1:29:51"}
|
| 127 |
+
{"current_steps": 127, "total_steps": 224, "loss": 0.2338, "lr": 9.453229306234143e-06, "epoch": 3.8810126582278484, "percentage": 56.7, "elapsed_time": "1:56:25", "remaining_time": "1:28:55"}
|
| 128 |
+
{"current_steps": 128, "total_steps": 224, "loss": 0.2551, "lr": 9.297238110547075e-06, "epoch": 3.911392405063291, "percentage": 57.14, "elapsed_time": "1:57:22", "remaining_time": "1:28:01"}
|
| 129 |
+
{"current_steps": 129, "total_steps": 224, "loss": 0.2134, "lr": 9.14141858983434e-06, "epoch": 3.9417721518987343, "percentage": 57.59, "elapsed_time": "1:58:06", "remaining_time": "1:26:58"}
|
| 130 |
+
{"current_steps": 130, "total_steps": 224, "loss": 0.2247, "lr": 8.985808808641883e-06, "epoch": 3.972151898734177, "percentage": 58.04, "elapsed_time": "1:59:03", "remaining_time": "1:26:05"}
|
| 131 |
+
{"current_steps": 131, "total_steps": 224, "loss": 0.3163, "lr": 8.830446780279175e-06, "epoch": 4.010126582278481, "percentage": 58.48, "elapsed_time": "2:00:27", "remaining_time": "1:25:31"}
|
| 132 |
+
{"current_steps": 132, "total_steps": 224, "loss": 0.2007, "lr": 8.675370457533122e-06, "epoch": 4.040506329113924, "percentage": 58.93, "elapsed_time": "2:01:19", "remaining_time": "1:24:33"}
|
| 133 |
+
{"current_steps": 133, "total_steps": 224, "loss": 0.1541, "lr": 8.520617723396702e-06, "epoch": 4.0708860759493675, "percentage": 59.38, "elapsed_time": "2:02:15", "remaining_time": "1:23:39"}
|
| 134 |
+
{"current_steps": 134, "total_steps": 224, "loss": 0.1569, "lr": 8.366226381814698e-06, "epoch": 4.10126582278481, "percentage": 59.82, "elapsed_time": "2:03:08", "remaining_time": "1:22:42"}
|
| 135 |
+
{"current_steps": 135, "total_steps": 224, "loss": 0.1675, "lr": 8.212234148448708e-06, "epoch": 4.131645569620253, "percentage": 60.27, "elapsed_time": "2:04:11", "remaining_time": "1:21:52"}
|
| 136 |
+
{"current_steps": 136, "total_steps": 224, "loss": 0.1713, "lr": 8.058678641463724e-06, "epoch": 4.162025316455696, "percentage": 60.71, "elapsed_time": "2:05:04", "remaining_time": "1:20:55"}
|
| 137 |
+
{"current_steps": 137, "total_steps": 224, "loss": 0.1529, "lr": 7.905597372338558e-06, "epoch": 4.192405063291139, "percentage": 61.16, "elapsed_time": "2:05:58", "remaining_time": "1:19:59"}
|
| 138 |
+
{"current_steps": 138, "total_steps": 224, "loss": 0.1629, "lr": 7.753027736702283e-06, "epoch": 4.222784810126583, "percentage": 61.61, "elapsed_time": "2:06:54", "remaining_time": "1:19:05"}
|
| 139 |
+
{"current_steps": 139, "total_steps": 224, "loss": 0.1496, "lr": 7.601007005199022e-06, "epoch": 4.253164556962025, "percentage": 62.05, "elapsed_time": "2:07:46", "remaining_time": "1:18:08"}
|
| 140 |
+
{"current_steps": 140, "total_steps": 224, "loss": 0.147, "lr": 7.449572314383237e-06, "epoch": 4.283544303797468, "percentage": 62.5, "elapsed_time": "2:08:41", "remaining_time": "1:17:12"}
|
| 141 |
+
{"current_steps": 141, "total_steps": 224, "loss": 0.1713, "lr": 7.298760657647779e-06, "epoch": 4.313924050632911, "percentage": 62.95, "elapsed_time": "2:09:31", "remaining_time": "1:16:14"}
|
| 142 |
+
{"current_steps": 142, "total_steps": 224, "loss": 0.1422, "lr": 7.148608876186931e-06, "epoch": 4.3443037974683545, "percentage": 63.39, "elapsed_time": "2:10:15", "remaining_time": "1:15:13"}
|
| 143 |
+
{"current_steps": 143, "total_steps": 224, "loss": 0.1547, "lr": 6.999153649996595e-06, "epoch": 4.374683544303798, "percentage": 63.84, "elapsed_time": "2:11:00", "remaining_time": "1:14:12"}
|
| 144 |
+
{"current_steps": 144, "total_steps": 224, "loss": 0.163, "lr": 6.8504314889138956e-06, "epoch": 4.405063291139241, "percentage": 64.29, "elapsed_time": "2:12:04", "remaining_time": "1:13:22"}
|
| 145 |
+
{"current_steps": 145, "total_steps": 224, "loss": 0.1362, "lr": 6.702478723698336e-06, "epoch": 4.435443037974683, "percentage": 64.73, "elapsed_time": "2:12:51", "remaining_time": "1:12:23"}
|
| 146 |
+
{"current_steps": 146, "total_steps": 224, "loss": 0.1605, "lr": 6.555331497156671e-06, "epoch": 4.465822784810126, "percentage": 65.18, "elapsed_time": "2:13:52", "remaining_time": "1:11:31"}
|
| 147 |
+
{"current_steps": 147, "total_steps": 224, "loss": 0.1657, "lr": 6.4090257553137566e-06, "epoch": 4.49620253164557, "percentage": 65.62, "elapsed_time": "2:14:53", "remaining_time": "1:10:39"}
|
| 148 |
+
{"current_steps": 148, "total_steps": 224, "loss": 0.1417, "lr": 6.263597238631405e-06, "epoch": 4.526582278481013, "percentage": 66.07, "elapsed_time": "2:15:45", "remaining_time": "1:09:42"}
|
| 149 |
+
{"current_steps": 149, "total_steps": 224, "loss": 0.1598, "lr": 6.119081473277502e-06, "epoch": 4.556962025316456, "percentage": 66.52, "elapsed_time": "2:16:37", "remaining_time": "1:08:46"}
|
| 150 |
+
{"current_steps": 150, "total_steps": 224, "loss": 0.1659, "lr": 5.975513762447465e-06, "epoch": 4.587341772151898, "percentage": 66.96, "elapsed_time": "2:17:25", "remaining_time": "1:07:47"}
|
| 151 |
+
{"current_steps": 151, "total_steps": 224, "loss": 0.1232, "lr": 5.832929177740134e-06, "epoch": 4.6177215189873415, "percentage": 67.41, "elapsed_time": "2:18:08", "remaining_time": "1:06:47"}
|
| 152 |
+
{"current_steps": 152, "total_steps": 224, "loss": 0.1407, "lr": 5.6913625505902966e-06, "epoch": 4.648101265822785, "percentage": 67.86, "elapsed_time": "2:18:46", "remaining_time": "1:05:44"}
|
| 153 |
+
{"current_steps": 153, "total_steps": 224, "loss": 0.188, "lr": 5.550848463759835e-06, "epoch": 4.678481012658228, "percentage": 68.3, "elapsed_time": "2:19:53", "remaining_time": "1:04:54"}
|
| 154 |
+
{"current_steps": 154, "total_steps": 224, "loss": 0.139, "lr": 5.411421242889643e-06, "epoch": 4.708860759493671, "percentage": 68.75, "elapsed_time": "2:20:58", "remaining_time": "1:04:04"}
|
| 155 |
+
{"current_steps": 155, "total_steps": 224, "loss": 0.1642, "lr": 5.273114948114346e-06, "epoch": 4.739240506329114, "percentage": 69.2, "elapsed_time": "2:21:54", "remaining_time": "1:03:10"}
|
| 156 |
+
{"current_steps": 156, "total_steps": 224, "loss": 0.1471, "lr": 5.135963365741892e-06, "epoch": 4.769620253164557, "percentage": 69.64, "elapsed_time": "2:22:49", "remaining_time": "1:02:15"}
|
| 157 |
+
{"current_steps": 157, "total_steps": 224, "loss": 0.1367, "lr": 5.000000000000003e-06, "epoch": 4.8, "percentage": 70.09, "elapsed_time": "2:23:42", "remaining_time": "1:01:19"}
|
| 158 |
+
{"current_steps": 158, "total_steps": 224, "loss": 0.1452, "lr": 4.865258064851579e-06, "epoch": 4.830379746835443, "percentage": 70.54, "elapsed_time": "2:24:43", "remaining_time": "1:00:27"}
|
| 159 |
+
{"current_steps": 159, "total_steps": 224, "loss": 0.1428, "lr": 4.731770475880995e-06, "epoch": 4.860759493670886, "percentage": 70.98, "elapsed_time": "2:25:38", "remaining_time": "0:59:32"}
|
| 160 |
+
{"current_steps": 160, "total_steps": 224, "loss": 0.1564, "lr": 4.599569842253244e-06, "epoch": 4.891139240506329, "percentage": 71.43, "elapsed_time": "2:26:33", "remaining_time": "0:58:37"}
|
| 161 |
+
{"current_steps": 161, "total_steps": 224, "loss": 0.1586, "lr": 4.468688458748006e-06, "epoch": 4.921518987341772, "percentage": 71.88, "elapsed_time": "2:27:45", "remaining_time": "0:57:49"}
|
| 162 |
+
{"current_steps": 162, "total_steps": 224, "loss": 0.1401, "lr": 4.339158297870469e-06, "epoch": 4.951898734177215, "percentage": 72.32, "elapsed_time": "2:28:32", "remaining_time": "0:56:50"}
|
| 163 |
+
{"current_steps": 163, "total_steps": 224, "loss": 0.1777, "lr": 4.211011002040885e-06, "epoch": 4.982278481012658, "percentage": 72.77, "elapsed_time": "2:29:18", "remaining_time": "0:55:52"}
|
| 164 |
+
{"current_steps": 164, "total_steps": 224, "loss": 0.1548, "lr": 4.084277875864776e-06, "epoch": 5.020253164556962, "percentage": 73.21, "elapsed_time": "2:31:01", "remaining_time": "0:55:15"}
|
| 165 |
+
{"current_steps": 165, "total_steps": 224, "loss": 0.1256, "lr": 3.958989878485644e-06, "epoch": 5.050632911392405, "percentage": 73.66, "elapsed_time": "2:32:09", "remaining_time": "0:54:24"}
|
| 166 |
+
{"current_steps": 166, "total_steps": 224, "loss": 0.0947, "lr": 3.83517761602209e-06, "epoch": 5.0810126582278485, "percentage": 74.11, "elapsed_time": "2:32:59", "remaining_time": "0:53:27"}
|
| 167 |
+
{"current_steps": 167, "total_steps": 224, "loss": 0.0933, "lr": 3.712871334091154e-06, "epoch": 5.111392405063291, "percentage": 74.55, "elapsed_time": "2:33:49", "remaining_time": "0:52:30"}
|
| 168 |
+
{"current_steps": 168, "total_steps": 224, "loss": 0.122, "lr": 3.592100910419738e-06, "epoch": 5.141772151898734, "percentage": 75.0, "elapsed_time": "2:34:54", "remaining_time": "0:51:38"}
|
| 169 |
+
{"current_steps": 169, "total_steps": 224, "loss": 0.0971, "lr": 3.4728958475459052e-06, "epoch": 5.172151898734177, "percentage": 75.45, "elapsed_time": "2:35:46", "remaining_time": "0:50:41"}
|
| 170 |
+
{"current_steps": 170, "total_steps": 224, "loss": 0.1095, "lr": 3.355285265611784e-06, "epoch": 5.2025316455696204, "percentage": 75.89, "elapsed_time": "2:36:41", "remaining_time": "0:49:46"}
|
| 171 |
+
{"current_steps": 171, "total_steps": 224, "loss": 0.113, "lr": 3.2392978952499553e-06, "epoch": 5.232911392405064, "percentage": 76.34, "elapsed_time": "2:37:29", "remaining_time": "0:48:48"}
|
| 172 |
+
{"current_steps": 172, "total_steps": 224, "loss": 0.1125, "lr": 3.1249620705649417e-06, "epoch": 5.263291139240506, "percentage": 76.79, "elapsed_time": "2:38:29", "remaining_time": "0:47:54"}
|
| 173 |
+
{"current_steps": 173, "total_steps": 224, "loss": 0.1058, "lr": 3.0123057222115835e-06, "epoch": 5.293670886075949, "percentage": 77.23, "elapsed_time": "2:39:23", "remaining_time": "0:46:59"}
|
| 174 |
+
{"current_steps": 174, "total_steps": 224, "loss": 0.0954, "lr": 2.9013563705719673e-06, "epoch": 5.324050632911392, "percentage": 77.68, "elapsed_time": "2:40:16", "remaining_time": "0:46:03"}
|
| 175 |
+
{"current_steps": 175, "total_steps": 224, "loss": 0.106, "lr": 2.7921411190325753e-06, "epoch": 5.3544303797468356, "percentage": 78.12, "elapsed_time": "2:41:07", "remaining_time": "0:45:07"}
|
| 176 |
+
{"current_steps": 176, "total_steps": 224, "loss": 0.0931, "lr": 2.6846866473633126e-06, "epoch": 5.384810126582279, "percentage": 78.57, "elapsed_time": "2:42:00", "remaining_time": "0:44:10"}
|
| 177 |
+
{"current_steps": 177, "total_steps": 224, "loss": 0.0908, "lr": 2.579019205199992e-06, "epoch": 5.415189873417722, "percentage": 79.02, "elapsed_time": "2:43:03", "remaining_time": "0:43:17"}
|
| 178 |
+
{"current_steps": 178, "total_steps": 224, "loss": 0.1057, "lr": 2.4751646056319334e-06, "epoch": 5.445569620253164, "percentage": 79.46, "elapsed_time": "2:44:04", "remaining_time": "0:42:24"}
|
| 179 |
+
{"current_steps": 179, "total_steps": 224, "loss": 0.0986, "lr": 2.373148218896182e-06, "epoch": 5.4759493670886075, "percentage": 79.91, "elapsed_time": "2:44:48", "remaining_time": "0:41:26"}
|
| 180 |
+
{"current_steps": 180, "total_steps": 224, "loss": 0.0877, "lr": 2.2729949661798876e-06, "epoch": 5.506329113924051, "percentage": 80.36, "elapsed_time": "2:45:41", "remaining_time": "0:40:30"}
|
| 181 |
+
{"current_steps": 181, "total_steps": 224, "loss": 0.099, "lr": 2.174729313532433e-06, "epoch": 5.536708860759494, "percentage": 80.8, "elapsed_time": "2:46:35", "remaining_time": "0:39:34"}
|
| 182 |
+
{"current_steps": 182, "total_steps": 224, "loss": 0.0958, "lr": 2.078375265888707e-06, "epoch": 5.567088607594937, "percentage": 81.25, "elapsed_time": "2:47:38", "remaining_time": "0:38:41"}
|
| 183 |
+
{"current_steps": 183, "total_steps": 224, "loss": 0.1123, "lr": 1.9839563612050273e-06, "epoch": 5.597468354430379, "percentage": 81.7, "elapsed_time": "2:48:40", "remaining_time": "0:37:47"}
|
| 184 |
+
{"current_steps": 184, "total_steps": 224, "loss": 0.0934, "lr": 1.8914956647091497e-06, "epoch": 5.627848101265823, "percentage": 82.14, "elapsed_time": "2:49:36", "remaining_time": "0:36:52"}
|
| 185 |
+
{"current_steps": 185, "total_steps": 224, "loss": 0.1252, "lr": 1.8010157632657544e-06, "epoch": 5.658227848101266, "percentage": 82.59, "elapsed_time": "2:50:33", "remaining_time": "0:35:57"}
|
| 186 |
+
{"current_steps": 186, "total_steps": 224, "loss": 0.0801, "lr": 1.7125387598587862e-06, "epoch": 5.688607594936709, "percentage": 83.04, "elapsed_time": "2:51:15", "remaining_time": "0:34:59"}
|
| 187 |
+
{"current_steps": 187, "total_steps": 224, "loss": 0.0998, "lr": 1.6260862681919965e-06, "epoch": 5.718987341772152, "percentage": 83.48, "elapsed_time": "2:52:04", "remaining_time": "0:34:02"}
|
| 188 |
+
{"current_steps": 188, "total_steps": 224, "loss": 0.1002, "lr": 1.5416794074090258e-06, "epoch": 5.749367088607595, "percentage": 83.93, "elapsed_time": "2:52:58", "remaining_time": "0:33:07"}
|
| 189 |
+
{"current_steps": 189, "total_steps": 224, "loss": 0.1115, "lr": 1.459338796934293e-06, "epoch": 5.779746835443038, "percentage": 84.38, "elapsed_time": "2:53:50", "remaining_time": "0:32:11"}
|
| 190 |
+
{"current_steps": 190, "total_steps": 224, "loss": 0.0986, "lr": 1.3790845514359363e-06, "epoch": 5.810126582278481, "percentage": 84.82, "elapsed_time": "2:54:30", "remaining_time": "0:31:13"}
|
| 191 |
+
{"current_steps": 191, "total_steps": 224, "loss": 0.108, "lr": 1.300936275912098e-06, "epoch": 5.840506329113924, "percentage": 85.27, "elapsed_time": "2:55:22", "remaining_time": "0:30:18"}
|
| 192 |
+
{"current_steps": 192, "total_steps": 224, "loss": 0.0913, "lr": 1.224913060901688e-06, "epoch": 5.870886075949367, "percentage": 85.71, "elapsed_time": "2:56:11", "remaining_time": "0:29:21"}
|
| 193 |
+
{"current_steps": 193, "total_steps": 224, "loss": 0.1042, "lr": 1.1510334778208332e-06, "epoch": 5.9012658227848105, "percentage": 86.16, "elapsed_time": "2:57:03", "remaining_time": "0:28:26"}
|
| 194 |
+
{"current_steps": 194, "total_steps": 224, "loss": 0.1083, "lr": 1.0793155744261352e-06, "epoch": 5.931645569620253, "percentage": 86.61, "elapsed_time": "2:57:58", "remaining_time": "0:27:31"}
|
| 195 |
+
{"current_steps": 195, "total_steps": 224, "loss": 0.1117, "lr": 1.0097768704058542e-06, "epoch": 5.962025316455696, "percentage": 87.05, "elapsed_time": "2:58:53", "remaining_time": "0:26:36"}
|
| 196 |
+
{"current_steps": 196, "total_steps": 224, "loss": 0.1091, "lr": 9.424343531000968e-07, "epoch": 5.992405063291139, "percentage": 87.5, "elapsed_time": "2:59:36", "remaining_time": "0:25:39"}
|
| 197 |
+
{"current_steps": 197, "total_steps": 224, "loss": 0.0816, "lr": 8.773044733510338e-07, "epoch": 6.030379746835443, "percentage": 87.95, "elapsed_time": "3:00:55", "remaining_time": "0:24:47"}
|
| 198 |
+
{"current_steps": 198, "total_steps": 224, "loss": 0.0799, "lr": 8.144031414842012e-07, "epoch": 6.060759493670886, "percentage": 88.39, "elapsed_time": "3:01:59", "remaining_time": "0:23:53"}
|
| 199 |
+
{"current_steps": 199, "total_steps": 224, "loss": 0.0739, "lr": 7.537457234218271e-07, "epoch": 6.091139240506329, "percentage": 88.84, "elapsed_time": "3:02:49", "remaining_time": "0:22:58"}
|
| 200 |
+
{"current_steps": 200, "total_steps": 224, "loss": 0.0758, "lr": 6.953470369291349e-07, "epoch": 6.121518987341772, "percentage": 89.29, "elapsed_time": "3:03:49", "remaining_time": "0:22:03"}
|
| 201 |
+
{"current_steps": 201, "total_steps": 224, "loss": 0.0949, "lr": 6.392213479945852e-07, "epoch": 6.151898734177215, "percentage": 89.73, "elapsed_time": "3:04:49", "remaining_time": "0:21:08"}
|
| 202 |
+
{"current_steps": 202, "total_steps": 224, "loss": 0.0876, "lr": 5.853823673448877e-07, "epoch": 6.182278481012658, "percentage": 90.18, "elapsed_time": "3:05:59", "remaining_time": "0:20:15"}
|
| 203 |
+
{"current_steps": 203, "total_steps": 224, "loss": 0.087, "lr": 5.33843247095659e-07, "epoch": 6.2126582278481015, "percentage": 90.62, "elapsed_time": "3:06:55", "remaining_time": "0:19:20"}
|
| 204 |
+
{"current_steps": 204, "total_steps": 224, "loss": 0.0895, "lr": 4.846165775385459e-07, "epoch": 6.243037974683545, "percentage": 91.07, "elapsed_time": "3:07:50", "remaining_time": "0:18:24"}
|
| 205 |
+
{"current_steps": 205, "total_steps": 224, "loss": 0.0889, "lr": 4.3771438406559173e-07, "epoch": 6.273417721518987, "percentage": 91.52, "elapsed_time": "3:08:51", "remaining_time": "0:17:30"}
|
| 206 |
+
{"current_steps": 206, "total_steps": 224, "loss": 0.0703, "lr": 3.931481242315993e-07, "epoch": 6.30379746835443, "percentage": 91.96, "elapsed_time": "3:09:37", "remaining_time": "0:16:34"}
|
| 207 |
+
{"current_steps": 207, "total_steps": 224, "loss": 0.0796, "lr": 3.5092868495520294e-07, "epoch": 6.334177215189873, "percentage": 92.41, "elapsed_time": "3:10:45", "remaining_time": "0:15:39"}
|
| 208 |
+
{"current_steps": 208, "total_steps": 224, "loss": 0.0968, "lr": 3.110663798593616e-07, "epoch": 6.364556962025317, "percentage": 92.86, "elapsed_time": "3:11:34", "remaining_time": "0:14:44"}
|
| 209 |
+
{"current_steps": 209, "total_steps": 224, "loss": 0.0825, "lr": 2.735709467518699e-07, "epoch": 6.39493670886076, "percentage": 93.3, "elapsed_time": "3:12:25", "remaining_time": "0:13:48"}
|
| 210 |
+
{"current_steps": 210, "total_steps": 224, "loss": 0.0887, "lr": 2.384515452465475e-07, "epoch": 6.425316455696202, "percentage": 93.75, "elapsed_time": "3:13:32", "remaining_time": "0:12:54"}
|
| 211 |
+
{"current_steps": 211, "total_steps": 224, "loss": 0.0764, "lr": 2.0571675452567997e-07, "epoch": 6.455696202531645, "percentage": 94.2, "elapsed_time": "3:14:25", "remaining_time": "0:11:58"}
|
| 212 |
+
{"current_steps": 212, "total_steps": 224, "loss": 0.0887, "lr": 1.7537457124423896e-07, "epoch": 6.4860759493670885, "percentage": 94.64, "elapsed_time": "3:15:27", "remaining_time": "0:11:03"}
|
| 213 |
+
{"current_steps": 213, "total_steps": 224, "loss": 0.0806, "lr": 1.474324075764111e-07, "epoch": 6.516455696202532, "percentage": 95.09, "elapsed_time": "3:16:29", "remaining_time": "0:10:08"}
|
| 214 |
+
{"current_steps": 214, "total_steps": 224, "loss": 0.0864, "lr": 1.2189708940490653e-07, "epoch": 6.546835443037975, "percentage": 95.54, "elapsed_time": "3:17:10", "remaining_time": "0:09:12"}
|
| 215 |
+
{"current_steps": 215, "total_steps": 224, "loss": 0.0867, "lr": 9.877485465349057e-08, "epoch": 6.577215189873417, "percentage": 95.98, "elapsed_time": "3:18:14", "remaining_time": "0:08:17"}
|
| 216 |
+
{"current_steps": 216, "total_steps": 224, "loss": 0.0833, "lr": 7.807135176314707e-08, "epoch": 6.6075949367088604, "percentage": 96.43, "elapsed_time": "3:19:01", "remaining_time": "0:07:22"}
|
| 217 |
+
{"current_steps": 217, "total_steps": 224, "loss": 0.0833, "lr": 5.979163831223988e-08, "epoch": 6.637974683544304, "percentage": 96.88, "elapsed_time": "3:19:56", "remaining_time": "0:06:26"}
|
| 218 |
+
{"current_steps": 218, "total_steps": 224, "loss": 0.073, "lr": 4.394017978101905e-08, "epoch": 6.668354430379747, "percentage": 97.32, "elapsed_time": "3:20:53", "remaining_time": "0:05:31"}
|
| 219 |
+
{"current_steps": 219, "total_steps": 224, "loss": 0.0851, "lr": 3.0520848460765525e-08, "epoch": 6.69873417721519, "percentage": 97.77, "elapsed_time": "3:21:49", "remaining_time": "0:04:36"}
|
| 220 |
+
{"current_steps": 220, "total_steps": 224, "loss": 0.0793, "lr": 1.9536922507841227e-08, "epoch": 6.729113924050633, "percentage": 98.21, "elapsed_time": "3:22:33", "remaining_time": "0:03:40"}
|
| 221 |
+
{"current_steps": 221, "total_steps": 224, "loss": 0.0734, "lr": 1.099108514288627e-08, "epoch": 6.759493670886076, "percentage": 98.66, "elapsed_time": "3:23:23", "remaining_time": "0:02:45"}
|
| 222 |
+
{"current_steps": 222, "total_steps": 224, "loss": 0.0939, "lr": 4.885423995341088e-09, "epoch": 6.789873417721519, "percentage": 99.11, "elapsed_time": "3:24:15", "remaining_time": "0:01:50"}
|
| 223 |
+
{"current_steps": 223, "total_steps": 224, "loss": 0.0796, "lr": 1.2214305934699078e-09, "epoch": 6.820253164556962, "percentage": 99.55, "elapsed_time": "3:25:06", "remaining_time": "0:00:55"}
|
| 224 |
+
{"current_steps": 224, "total_steps": 224, "loss": 0.0811, "lr": 0.0, "epoch": 6.850632911392405, "percentage": 100.0, "elapsed_time": "3:25:53", "remaining_time": "0:00:00"}
|
| 225 |
+
{"current_steps": 224, "total_steps": 224, "epoch": 6.850632911392405, "percentage": 100.0, "elapsed_time": "3:27:02", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1610 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 6.850632911392405,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 224,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.030379746835443037,
|
| 13 |
+
"grad_norm": 6.293833826007159,
|
| 14 |
+
"learning_rate": 8.695652173913044e-07,
|
| 15 |
+
"loss": 0.8862,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.060759493670886074,
|
| 20 |
+
"grad_norm": 6.06683060242767,
|
| 21 |
+
"learning_rate": 1.7391304347826088e-06,
|
| 22 |
+
"loss": 0.8348,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09113924050632911,
|
| 27 |
+
"grad_norm": 6.085593029855262,
|
| 28 |
+
"learning_rate": 2.6086956521739132e-06,
|
| 29 |
+
"loss": 0.8919,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12151898734177215,
|
| 34 |
+
"grad_norm": 5.760576316404554,
|
| 35 |
+
"learning_rate": 3.4782608695652175e-06,
|
| 36 |
+
"loss": 0.8317,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.1518987341772152,
|
| 41 |
+
"grad_norm": 4.5955604298294395,
|
| 42 |
+
"learning_rate": 4.347826086956522e-06,
|
| 43 |
+
"loss": 0.8164,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.18227848101265823,
|
| 48 |
+
"grad_norm": 2.4241910432702802,
|
| 49 |
+
"learning_rate": 5.2173913043478265e-06,
|
| 50 |
+
"loss": 0.7569,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.21265822784810126,
|
| 55 |
+
"grad_norm": 2.0775478325962156,
|
| 56 |
+
"learning_rate": 6.086956521739132e-06,
|
| 57 |
+
"loss": 0.7122,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2430379746835443,
|
| 62 |
+
"grad_norm": 3.9008746772989573,
|
| 63 |
+
"learning_rate": 6.956521739130435e-06,
|
| 64 |
+
"loss": 0.7835,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.27341772151898736,
|
| 69 |
+
"grad_norm": 3.6499637096171424,
|
| 70 |
+
"learning_rate": 7.82608695652174e-06,
|
| 71 |
+
"loss": 0.7065,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.3037974683544304,
|
| 76 |
+
"grad_norm": 3.897621871094942,
|
| 77 |
+
"learning_rate": 8.695652173913044e-06,
|
| 78 |
+
"loss": 0.7161,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3341772151898734,
|
| 83 |
+
"grad_norm": 4.108219669394765,
|
| 84 |
+
"learning_rate": 9.565217391304349e-06,
|
| 85 |
+
"loss": 0.6817,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.36455696202531646,
|
| 90 |
+
"grad_norm": 4.05540403379258,
|
| 91 |
+
"learning_rate": 1.0434782608695653e-05,
|
| 92 |
+
"loss": 0.7038,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3949367088607595,
|
| 97 |
+
"grad_norm": 2.568474560061959,
|
| 98 |
+
"learning_rate": 1.1304347826086957e-05,
|
| 99 |
+
"loss": 0.6703,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.4253164556962025,
|
| 104 |
+
"grad_norm": 1.9544696940564121,
|
| 105 |
+
"learning_rate": 1.2173913043478263e-05,
|
| 106 |
+
"loss": 0.652,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.45569620253164556,
|
| 111 |
+
"grad_norm": 2.6134105187686236,
|
| 112 |
+
"learning_rate": 1.3043478260869566e-05,
|
| 113 |
+
"loss": 0.6597,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.4860759493670886,
|
| 118 |
+
"grad_norm": 2.2342699291974677,
|
| 119 |
+
"learning_rate": 1.391304347826087e-05,
|
| 120 |
+
"loss": 0.5939,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.5164556962025316,
|
| 125 |
+
"grad_norm": 1.7411085903434311,
|
| 126 |
+
"learning_rate": 1.4782608695652174e-05,
|
| 127 |
+
"loss": 0.6429,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5468354430379747,
|
| 132 |
+
"grad_norm": 1.2430514639056482,
|
| 133 |
+
"learning_rate": 1.565217391304348e-05,
|
| 134 |
+
"loss": 0.6238,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.5772151898734177,
|
| 139 |
+
"grad_norm": 1.310646421522415,
|
| 140 |
+
"learning_rate": 1.6521739130434785e-05,
|
| 141 |
+
"loss": 0.6051,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6075949367088608,
|
| 146 |
+
"grad_norm": 1.1362663542854012,
|
| 147 |
+
"learning_rate": 1.739130434782609e-05,
|
| 148 |
+
"loss": 0.5999,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6379746835443038,
|
| 153 |
+
"grad_norm": 0.8889327202115898,
|
| 154 |
+
"learning_rate": 1.8260869565217393e-05,
|
| 155 |
+
"loss": 0.5697,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6683544303797468,
|
| 160 |
+
"grad_norm": 1.0712088916619098,
|
| 161 |
+
"learning_rate": 1.9130434782608697e-05,
|
| 162 |
+
"loss": 0.5683,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.6987341772151898,
|
| 167 |
+
"grad_norm": 1.0078969637180104,
|
| 168 |
+
"learning_rate": 2e-05,
|
| 169 |
+
"loss": 0.597,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7291139240506329,
|
| 174 |
+
"grad_norm": 0.9422799824806541,
|
| 175 |
+
"learning_rate": 1.999877856940653e-05,
|
| 176 |
+
"loss": 0.5507,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.759493670886076,
|
| 181 |
+
"grad_norm": 0.9698330597252763,
|
| 182 |
+
"learning_rate": 1.999511457600466e-05,
|
| 183 |
+
"loss": 0.5784,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.789873417721519,
|
| 188 |
+
"grad_norm": 0.7221079971222841,
|
| 189 |
+
"learning_rate": 1.9989008914857115e-05,
|
| 190 |
+
"loss": 0.5719,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8202531645569621,
|
| 195 |
+
"grad_norm": 0.7014980135419222,
|
| 196 |
+
"learning_rate": 1.998046307749216e-05,
|
| 197 |
+
"loss": 0.5649,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.850632911392405,
|
| 202 |
+
"grad_norm": 0.7633701425527275,
|
| 203 |
+
"learning_rate": 1.9969479151539238e-05,
|
| 204 |
+
"loss": 0.55,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8810126582278481,
|
| 209 |
+
"grad_norm": 0.6417825074207438,
|
| 210 |
+
"learning_rate": 1.9956059820218982e-05,
|
| 211 |
+
"loss": 0.5935,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.9113924050632911,
|
| 216 |
+
"grad_norm": 0.708037799601626,
|
| 217 |
+
"learning_rate": 1.9940208361687762e-05,
|
| 218 |
+
"loss": 0.5589,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.9417721518987342,
|
| 223 |
+
"grad_norm": 0.7491076050282107,
|
| 224 |
+
"learning_rate": 1.9921928648236855e-05,
|
| 225 |
+
"loss": 0.5388,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.9721518987341772,
|
| 230 |
+
"grad_norm": 0.5804329603861615,
|
| 231 |
+
"learning_rate": 1.990122514534651e-05,
|
| 232 |
+
"loss": 0.5358,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.010126582278481,
|
| 237 |
+
"grad_norm": 1.0995232109558182,
|
| 238 |
+
"learning_rate": 1.9878102910595097e-05,
|
| 239 |
+
"loss": 0.7344,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.040506329113924,
|
| 244 |
+
"grad_norm": 0.5842012161050123,
|
| 245 |
+
"learning_rate": 1.985256759242359e-05,
|
| 246 |
+
"loss": 0.4806,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.070886075949367,
|
| 251 |
+
"grad_norm": 0.704739789920105,
|
| 252 |
+
"learning_rate": 1.982462542875576e-05,
|
| 253 |
+
"loss": 0.4871,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.1012658227848102,
|
| 258 |
+
"grad_norm": 0.736623351275328,
|
| 259 |
+
"learning_rate": 1.979428324547432e-05,
|
| 260 |
+
"loss": 0.4807,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.1316455696202532,
|
| 265 |
+
"grad_norm": 0.6253908809510927,
|
| 266 |
+
"learning_rate": 1.9761548454753455e-05,
|
| 267 |
+
"loss": 0.5233,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.1620253164556962,
|
| 272 |
+
"grad_norm": 0.6182900601597383,
|
| 273 |
+
"learning_rate": 1.972642905324813e-05,
|
| 274 |
+
"loss": 0.4424,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.1924050632911392,
|
| 279 |
+
"grad_norm": 0.6681235591120583,
|
| 280 |
+
"learning_rate": 1.9688933620140638e-05,
|
| 281 |
+
"loss": 0.4689,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.2227848101265824,
|
| 286 |
+
"grad_norm": 0.6373323329321743,
|
| 287 |
+
"learning_rate": 1.96490713150448e-05,
|
| 288 |
+
"loss": 0.5329,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.2531645569620253,
|
| 293 |
+
"grad_norm": 0.7047275034593882,
|
| 294 |
+
"learning_rate": 1.9606851875768404e-05,
|
| 295 |
+
"loss": 0.4655,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.2835443037974683,
|
| 300 |
+
"grad_norm": 0.6246515542250495,
|
| 301 |
+
"learning_rate": 1.956228561593441e-05,
|
| 302 |
+
"loss": 0.4712,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.3139240506329113,
|
| 307 |
+
"grad_norm": 0.5856508173641957,
|
| 308 |
+
"learning_rate": 1.9515383422461457e-05,
|
| 309 |
+
"loss": 0.5023,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.3443037974683545,
|
| 314 |
+
"grad_norm": 0.5962967705046875,
|
| 315 |
+
"learning_rate": 1.9466156752904344e-05,
|
| 316 |
+
"loss": 0.4177,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.3746835443037975,
|
| 321 |
+
"grad_norm": 0.7806001779998398,
|
| 322 |
+
"learning_rate": 1.9414617632655114e-05,
|
| 323 |
+
"loss": 0.5141,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.4050632911392404,
|
| 328 |
+
"grad_norm": 0.622043734959372,
|
| 329 |
+
"learning_rate": 1.9360778652005416e-05,
|
| 330 |
+
"loss": 0.4599,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.4354430379746836,
|
| 335 |
+
"grad_norm": 0.7121168891261236,
|
| 336 |
+
"learning_rate": 1.9304652963070868e-05,
|
| 337 |
+
"loss": 0.4406,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.4658227848101266,
|
| 342 |
+
"grad_norm": 0.6488634345123712,
|
| 343 |
+
"learning_rate": 1.9246254276578175e-05,
|
| 344 |
+
"loss": 0.5134,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.4962025316455696,
|
| 349 |
+
"grad_norm": 0.520746079921578,
|
| 350 |
+
"learning_rate": 1.9185596858515797e-05,
|
| 351 |
+
"loss": 0.444,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.5265822784810128,
|
| 356 |
+
"grad_norm": 0.6045948242543929,
|
| 357 |
+
"learning_rate": 1.9122695526648968e-05,
|
| 358 |
+
"loss": 0.3933,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.5569620253164556,
|
| 363 |
+
"grad_norm": 0.5254642849482244,
|
| 364 |
+
"learning_rate": 1.905756564689991e-05,
|
| 365 |
+
"loss": 0.4488,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.5873417721518988,
|
| 370 |
+
"grad_norm": 0.6157649648460861,
|
| 371 |
+
"learning_rate": 1.8990223129594146e-05,
|
| 372 |
+
"loss": 0.5049,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.6177215189873417,
|
| 377 |
+
"grad_norm": 0.5631831213957198,
|
| 378 |
+
"learning_rate": 1.8920684425573865e-05,
|
| 379 |
+
"loss": 0.4713,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.6481012658227847,
|
| 384 |
+
"grad_norm": 0.5602537302229734,
|
| 385 |
+
"learning_rate": 1.884896652217917e-05,
|
| 386 |
+
"loss": 0.44,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.678481012658228,
|
| 391 |
+
"grad_norm": 0.5914581257872572,
|
| 392 |
+
"learning_rate": 1.877508693909831e-05,
|
| 393 |
+
"loss": 0.4619,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.7088607594936709,
|
| 398 |
+
"grad_norm": 0.549463095796092,
|
| 399 |
+
"learning_rate": 1.8699063724087905e-05,
|
| 400 |
+
"loss": 0.4267,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.7392405063291139,
|
| 405 |
+
"grad_norm": 0.5340178679294976,
|
| 406 |
+
"learning_rate": 1.862091544856407e-05,
|
| 407 |
+
"loss": 0.4761,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.769620253164557,
|
| 412 |
+
"grad_norm": 0.5808152206830257,
|
| 413 |
+
"learning_rate": 1.854066120306571e-05,
|
| 414 |
+
"loss": 0.4637,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.8,
|
| 419 |
+
"grad_norm": 0.4902800171092904,
|
| 420 |
+
"learning_rate": 1.8458320592590976e-05,
|
| 421 |
+
"loss": 0.4436,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.830379746835443,
|
| 426 |
+
"grad_norm": 0.5390313052443518,
|
| 427 |
+
"learning_rate": 1.837391373180801e-05,
|
| 428 |
+
"loss": 0.4885,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.8607594936708862,
|
| 433 |
+
"grad_norm": 0.5121936867897753,
|
| 434 |
+
"learning_rate": 1.8287461240141217e-05,
|
| 435 |
+
"loss": 0.4367,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.891139240506329,
|
| 440 |
+
"grad_norm": 0.5500363533706862,
|
| 441 |
+
"learning_rate": 1.8198984236734246e-05,
|
| 442 |
+
"loss": 0.4405,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.9215189873417722,
|
| 447 |
+
"grad_norm": 0.5172272256314452,
|
| 448 |
+
"learning_rate": 1.8108504335290852e-05,
|
| 449 |
+
"loss": 0.4269,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.9518987341772152,
|
| 454 |
+
"grad_norm": 0.5483248813247145,
|
| 455 |
+
"learning_rate": 1.8016043638794975e-05,
|
| 456 |
+
"loss": 0.4215,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.9822784810126581,
|
| 461 |
+
"grad_norm": 0.59195187727915,
|
| 462 |
+
"learning_rate": 1.7921624734111292e-05,
|
| 463 |
+
"loss": 0.5136,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.020253164556962,
|
| 468 |
+
"grad_norm": 0.6987707813692844,
|
| 469 |
+
"learning_rate": 1.7825270686467567e-05,
|
| 470 |
+
"loss": 0.5217,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.050632911392405,
|
| 475 |
+
"grad_norm": 0.6335148697025192,
|
| 476 |
+
"learning_rate": 1.7727005033820117e-05,
|
| 477 |
+
"loss": 0.3458,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.081012658227848,
|
| 482 |
+
"grad_norm": 0.5630324718459703,
|
| 483 |
+
"learning_rate": 1.762685178110382e-05,
|
| 484 |
+
"loss": 0.3504,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.1113924050632913,
|
| 489 |
+
"grad_norm": 0.8028572217234614,
|
| 490 |
+
"learning_rate": 1.752483539436807e-05,
|
| 491 |
+
"loss": 0.3902,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.141772151898734,
|
| 496 |
+
"grad_norm": 0.5670381413787162,
|
| 497 |
+
"learning_rate": 1.7420980794800013e-05,
|
| 498 |
+
"loss": 0.3084,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.1721518987341772,
|
| 503 |
+
"grad_norm": 0.8122168290341552,
|
| 504 |
+
"learning_rate": 1.731531335263669e-05,
|
| 505 |
+
"loss": 0.4264,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.2025316455696204,
|
| 510 |
+
"grad_norm": 0.4741214258962823,
|
| 511 |
+
"learning_rate": 1.720785888096743e-05,
|
| 512 |
+
"loss": 0.3048,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.232911392405063,
|
| 517 |
+
"grad_norm": 0.6586253722411579,
|
| 518 |
+
"learning_rate": 1.7098643629428035e-05,
|
| 519 |
+
"loss": 0.3685,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.2632911392405064,
|
| 524 |
+
"grad_norm": 0.561869536718334,
|
| 525 |
+
"learning_rate": 1.698769427778842e-05,
|
| 526 |
+
"loss": 0.3297,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.293670886075949,
|
| 531 |
+
"grad_norm": 0.6767692478813152,
|
| 532 |
+
"learning_rate": 1.687503792943506e-05,
|
| 533 |
+
"loss": 0.3494,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.3240506329113924,
|
| 538 |
+
"grad_norm": 0.5928821569905506,
|
| 539 |
+
"learning_rate": 1.6760702104750046e-05,
|
| 540 |
+
"loss": 0.3359,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.3544303797468356,
|
| 545 |
+
"grad_norm": 0.8164378937491322,
|
| 546 |
+
"learning_rate": 1.664471473438822e-05,
|
| 547 |
+
"loss": 0.3738,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.3848101265822783,
|
| 552 |
+
"grad_norm": 0.5572591269430051,
|
| 553 |
+
"learning_rate": 1.6527104152454096e-05,
|
| 554 |
+
"loss": 0.3256,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.4151898734177215,
|
| 559 |
+
"grad_norm": 0.6300653290697507,
|
| 560 |
+
"learning_rate": 1.6407899089580263e-05,
|
| 561 |
+
"loss": 0.3154,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.4455696202531647,
|
| 566 |
+
"grad_norm": 0.6162777886076989,
|
| 567 |
+
"learning_rate": 1.628712866590885e-05,
|
| 568 |
+
"loss": 0.3466,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.4759493670886075,
|
| 573 |
+
"grad_norm": 0.6058053919206401,
|
| 574 |
+
"learning_rate": 1.6164822383977912e-05,
|
| 575 |
+
"loss": 0.3428,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.5063291139240507,
|
| 580 |
+
"grad_norm": 0.560153372409703,
|
| 581 |
+
"learning_rate": 1.604101012151436e-05,
|
| 582 |
+
"loss": 0.3096,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.536708860759494,
|
| 587 |
+
"grad_norm": 0.6087346002273554,
|
| 588 |
+
"learning_rate": 1.5915722124135227e-05,
|
| 589 |
+
"loss": 0.3437,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.5670886075949366,
|
| 594 |
+
"grad_norm": 0.4955198786766178,
|
| 595 |
+
"learning_rate": 1.5788988997959115e-05,
|
| 596 |
+
"loss": 0.3118,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.59746835443038,
|
| 601 |
+
"grad_norm": 0.5789844176944846,
|
| 602 |
+
"learning_rate": 1.5660841702129533e-05,
|
| 603 |
+
"loss": 0.3807,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.6278481012658226,
|
| 608 |
+
"grad_norm": 0.5309509336643291,
|
| 609 |
+
"learning_rate": 1.5531311541251995e-05,
|
| 610 |
+
"loss": 0.3003,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.6582278481012658,
|
| 615 |
+
"grad_norm": 0.6719031837507913,
|
| 616 |
+
"learning_rate": 1.540043015774676e-05,
|
| 617 |
+
"loss": 0.3883,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.688607594936709,
|
| 622 |
+
"grad_norm": 0.5005442690624767,
|
| 623 |
+
"learning_rate": 1.5268229524119007e-05,
|
| 624 |
+
"loss": 0.304,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.7189873417721517,
|
| 629 |
+
"grad_norm": 0.688837206554437,
|
| 630 |
+
"learning_rate": 1.513474193514842e-05,
|
| 631 |
+
"loss": 0.3603,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.749367088607595,
|
| 636 |
+
"grad_norm": 0.5394782699862007,
|
| 637 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 638 |
+
"loss": 0.2964,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.779746835443038,
|
| 643 |
+
"grad_norm": 0.5148588742942368,
|
| 644 |
+
"learning_rate": 1.4864036634258112e-05,
|
| 645 |
+
"loss": 0.3442,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.810126582278481,
|
| 650 |
+
"grad_norm": 0.5817362125441904,
|
| 651 |
+
"learning_rate": 1.4726885051885654e-05,
|
| 652 |
+
"loss": 0.3446,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.840506329113924,
|
| 657 |
+
"grad_norm": 0.5148990671834646,
|
| 658 |
+
"learning_rate": 1.4588578757110359e-05,
|
| 659 |
+
"loss": 0.3397,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.8708860759493673,
|
| 664 |
+
"grad_norm": 0.5485534320777181,
|
| 665 |
+
"learning_rate": 1.4449151536240167e-05,
|
| 666 |
+
"loss": 0.3069,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 2.90126582278481,
|
| 671 |
+
"grad_norm": 0.5302264458421836,
|
| 672 |
+
"learning_rate": 1.4308637449409705e-05,
|
| 673 |
+
"loss": 0.3638,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.9316455696202532,
|
| 678 |
+
"grad_norm": 0.49405999684903523,
|
| 679 |
+
"learning_rate": 1.4167070822259868e-05,
|
| 680 |
+
"loss": 0.3712,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.962025316455696,
|
| 685 |
+
"grad_norm": 0.5096202744829424,
|
| 686 |
+
"learning_rate": 1.402448623755254e-05,
|
| 687 |
+
"loss": 0.3542,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 2.992405063291139,
|
| 692 |
+
"grad_norm": 0.5620601845699008,
|
| 693 |
+
"learning_rate": 1.3880918526722497e-05,
|
| 694 |
+
"loss": 0.4107,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 3.030379746835443,
|
| 699 |
+
"grad_norm": 0.6845312065128214,
|
| 700 |
+
"learning_rate": 1.3736402761368597e-05,
|
| 701 |
+
"loss": 0.2537,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 3.060759493670886,
|
| 706 |
+
"grad_norm": 0.5683322678824294,
|
| 707 |
+
"learning_rate": 1.3590974244686248e-05,
|
| 708 |
+
"loss": 0.2451,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 3.091139240506329,
|
| 713 |
+
"grad_norm": 0.5792932670782358,
|
| 714 |
+
"learning_rate": 1.344466850284333e-05,
|
| 715 |
+
"loss": 0.2225,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.1215189873417724,
|
| 720 |
+
"grad_norm": 0.9628768359244015,
|
| 721 |
+
"learning_rate": 1.3297521276301666e-05,
|
| 722 |
+
"loss": 0.2686,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 3.151898734177215,
|
| 727 |
+
"grad_norm": 0.6337138487225528,
|
| 728 |
+
"learning_rate": 1.3149568511086104e-05,
|
| 729 |
+
"loss": 0.2613,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 3.1822784810126583,
|
| 734 |
+
"grad_norm": 0.6632556801107956,
|
| 735 |
+
"learning_rate": 1.300084635000341e-05,
|
| 736 |
+
"loss": 0.2346,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 3.212658227848101,
|
| 741 |
+
"grad_norm": 0.577840594366836,
|
| 742 |
+
"learning_rate": 1.2851391123813075e-05,
|
| 743 |
+
"loss": 0.2366,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 3.2430379746835443,
|
| 748 |
+
"grad_norm": 0.5967042560307922,
|
| 749 |
+
"learning_rate": 1.2701239342352223e-05,
|
| 750 |
+
"loss": 0.2357,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 3.2734177215189875,
|
| 755 |
+
"grad_norm": 0.6052889150964138,
|
| 756 |
+
"learning_rate": 1.2550427685616767e-05,
|
| 757 |
+
"loss": 0.2537,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.3037974683544302,
|
| 762 |
+
"grad_norm": 0.5526256136083812,
|
| 763 |
+
"learning_rate": 1.239899299480098e-05,
|
| 764 |
+
"loss": 0.2325,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 3.3341772151898734,
|
| 769 |
+
"grad_norm": 0.5783020114883667,
|
| 770 |
+
"learning_rate": 1.2246972263297718e-05,
|
| 771 |
+
"loss": 0.2302,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 3.3645569620253166,
|
| 776 |
+
"grad_norm": 0.5151150904654107,
|
| 777 |
+
"learning_rate": 1.2094402627661447e-05,
|
| 778 |
+
"loss": 0.2379,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 3.3949367088607594,
|
| 783 |
+
"grad_norm": 0.5840124872421842,
|
| 784 |
+
"learning_rate": 1.1941321358536278e-05,
|
| 785 |
+
"loss": 0.2196,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 3.4253164556962026,
|
| 790 |
+
"grad_norm": 0.5575638981914616,
|
| 791 |
+
"learning_rate": 1.1787765851551296e-05,
|
| 792 |
+
"loss": 0.2417,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 3.4556962025316453,
|
| 797 |
+
"grad_norm": 0.5676673745339996,
|
| 798 |
+
"learning_rate": 1.1633773618185302e-05,
|
| 799 |
+
"loss": 0.2462,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 3.4860759493670885,
|
| 804 |
+
"grad_norm": 0.5488291523193319,
|
| 805 |
+
"learning_rate": 1.14793822766033e-05,
|
| 806 |
+
"loss": 0.2291,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 3.5164556962025317,
|
| 811 |
+
"grad_norm": 0.5704098450792927,
|
| 812 |
+
"learning_rate": 1.132462954246688e-05,
|
| 813 |
+
"loss": 0.2374,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 3.546835443037975,
|
| 818 |
+
"grad_norm": 0.4867272584844033,
|
| 819 |
+
"learning_rate": 1.1169553219720828e-05,
|
| 820 |
+
"loss": 0.2376,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 3.5772151898734177,
|
| 825 |
+
"grad_norm": 0.5529530918394492,
|
| 826 |
+
"learning_rate": 1.1014191191358118e-05,
|
| 827 |
+
"loss": 0.242,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 3.607594936708861,
|
| 832 |
+
"grad_norm": 0.5192190664599996,
|
| 833 |
+
"learning_rate": 1.085858141016566e-05,
|
| 834 |
+
"loss": 0.2476,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 3.6379746835443036,
|
| 839 |
+
"grad_norm": 0.45987096851195997,
|
| 840 |
+
"learning_rate": 1.070276188945293e-05,
|
| 841 |
+
"loss": 0.2364,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.668354430379747,
|
| 846 |
+
"grad_norm": 0.4956300338006397,
|
| 847 |
+
"learning_rate": 1.0546770693765859e-05,
|
| 848 |
+
"loss": 0.2354,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 3.69873417721519,
|
| 853 |
+
"grad_norm": 0.5040046760144843,
|
| 854 |
+
"learning_rate": 1.0390645929588197e-05,
|
| 855 |
+
"loss": 0.2284,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 3.729113924050633,
|
| 860 |
+
"grad_norm": 0.48330329822327217,
|
| 861 |
+
"learning_rate": 1.0234425736032607e-05,
|
| 862 |
+
"loss": 0.2413,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 3.759493670886076,
|
| 867 |
+
"grad_norm": 0.45658137067510934,
|
| 868 |
+
"learning_rate": 1.007814827552384e-05,
|
| 869 |
+
"loss": 0.2467,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 3.7898734177215188,
|
| 874 |
+
"grad_norm": 0.4734591767237467,
|
| 875 |
+
"learning_rate": 9.92185172447616e-06,
|
| 876 |
+
"loss": 0.213,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 3.820253164556962,
|
| 881 |
+
"grad_norm": 0.505360568959351,
|
| 882 |
+
"learning_rate": 9.765574263967397e-06,
|
| 883 |
+
"loss": 0.244,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.850632911392405,
|
| 888 |
+
"grad_norm": 0.42730450106912954,
|
| 889 |
+
"learning_rate": 9.609354070411807e-06,
|
| 890 |
+
"loss": 0.2324,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 3.8810126582278484,
|
| 895 |
+
"grad_norm": 0.44477229642302935,
|
| 896 |
+
"learning_rate": 9.453229306234143e-06,
|
| 897 |
+
"loss": 0.2338,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 3.911392405063291,
|
| 902 |
+
"grad_norm": 0.5032262389671527,
|
| 903 |
+
"learning_rate": 9.297238110547075e-06,
|
| 904 |
+
"loss": 0.2551,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 3.9417721518987343,
|
| 909 |
+
"grad_norm": 0.4353746960923058,
|
| 910 |
+
"learning_rate": 9.14141858983434e-06,
|
| 911 |
+
"loss": 0.2134,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 3.972151898734177,
|
| 916 |
+
"grad_norm": 0.4647540232924408,
|
| 917 |
+
"learning_rate": 8.985808808641883e-06,
|
| 918 |
+
"loss": 0.2247,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 4.010126582278481,
|
| 923 |
+
"grad_norm": 0.6339386720042828,
|
| 924 |
+
"learning_rate": 8.830446780279175e-06,
|
| 925 |
+
"loss": 0.3163,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 4.040506329113924,
|
| 930 |
+
"grad_norm": 0.6530531217301823,
|
| 931 |
+
"learning_rate": 8.675370457533122e-06,
|
| 932 |
+
"loss": 0.2007,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 4.0708860759493675,
|
| 937 |
+
"grad_norm": 0.43875095031695605,
|
| 938 |
+
"learning_rate": 8.520617723396702e-06,
|
| 939 |
+
"loss": 0.1541,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 4.10126582278481,
|
| 944 |
+
"grad_norm": 0.5625986310025605,
|
| 945 |
+
"learning_rate": 8.366226381814698e-06,
|
| 946 |
+
"loss": 0.1569,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 4.131645569620253,
|
| 951 |
+
"grad_norm": 0.758344673638472,
|
| 952 |
+
"learning_rate": 8.212234148448708e-06,
|
| 953 |
+
"loss": 0.1675,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 4.162025316455696,
|
| 958 |
+
"grad_norm": 0.5742624637188126,
|
| 959 |
+
"learning_rate": 8.058678641463724e-06,
|
| 960 |
+
"loss": 0.1713,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 4.192405063291139,
|
| 965 |
+
"grad_norm": 0.47306195670055207,
|
| 966 |
+
"learning_rate": 7.905597372338558e-06,
|
| 967 |
+
"loss": 0.1529,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 4.222784810126583,
|
| 972 |
+
"grad_norm": 0.5082834459351141,
|
| 973 |
+
"learning_rate": 7.753027736702283e-06,
|
| 974 |
+
"loss": 0.1629,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 4.253164556962025,
|
| 979 |
+
"grad_norm": 0.5149170887831235,
|
| 980 |
+
"learning_rate": 7.601007005199022e-06,
|
| 981 |
+
"loss": 0.1496,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 4.283544303797468,
|
| 986 |
+
"grad_norm": 0.5396696154356401,
|
| 987 |
+
"learning_rate": 7.449572314383237e-06,
|
| 988 |
+
"loss": 0.147,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 4.313924050632911,
|
| 993 |
+
"grad_norm": 0.4639127622235571,
|
| 994 |
+
"learning_rate": 7.298760657647779e-06,
|
| 995 |
+
"loss": 0.1713,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 4.3443037974683545,
|
| 1000 |
+
"grad_norm": 0.4642291200280393,
|
| 1001 |
+
"learning_rate": 7.148608876186931e-06,
|
| 1002 |
+
"loss": 0.1422,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 4.374683544303798,
|
| 1007 |
+
"grad_norm": 0.5277818211438168,
|
| 1008 |
+
"learning_rate": 6.999153649996595e-06,
|
| 1009 |
+
"loss": 0.1547,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 4.405063291139241,
|
| 1014 |
+
"grad_norm": 0.5011866251927994,
|
| 1015 |
+
"learning_rate": 6.8504314889138956e-06,
|
| 1016 |
+
"loss": 0.163,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 4.435443037974683,
|
| 1021 |
+
"grad_norm": 0.42343022420856047,
|
| 1022 |
+
"learning_rate": 6.702478723698336e-06,
|
| 1023 |
+
"loss": 0.1362,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 4.465822784810126,
|
| 1028 |
+
"grad_norm": 0.4787131077725175,
|
| 1029 |
+
"learning_rate": 6.555331497156671e-06,
|
| 1030 |
+
"loss": 0.1605,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 4.49620253164557,
|
| 1035 |
+
"grad_norm": 0.46626711693552353,
|
| 1036 |
+
"learning_rate": 6.4090257553137566e-06,
|
| 1037 |
+
"loss": 0.1657,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 4.526582278481013,
|
| 1042 |
+
"grad_norm": 0.4198237310944781,
|
| 1043 |
+
"learning_rate": 6.263597238631405e-06,
|
| 1044 |
+
"loss": 0.1417,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 4.556962025316456,
|
| 1049 |
+
"grad_norm": 0.4538075285568228,
|
| 1050 |
+
"learning_rate": 6.119081473277502e-06,
|
| 1051 |
+
"loss": 0.1598,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 4.587341772151898,
|
| 1056 |
+
"grad_norm": 0.4496647677446296,
|
| 1057 |
+
"learning_rate": 5.975513762447465e-06,
|
| 1058 |
+
"loss": 0.1659,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 4.6177215189873415,
|
| 1063 |
+
"grad_norm": 0.37645967832153626,
|
| 1064 |
+
"learning_rate": 5.832929177740134e-06,
|
| 1065 |
+
"loss": 0.1232,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 4.648101265822785,
|
| 1070 |
+
"grad_norm": 0.4483913968217151,
|
| 1071 |
+
"learning_rate": 5.6913625505902966e-06,
|
| 1072 |
+
"loss": 0.1407,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 4.678481012658228,
|
| 1077 |
+
"grad_norm": 0.48675690589639076,
|
| 1078 |
+
"learning_rate": 5.550848463759835e-06,
|
| 1079 |
+
"loss": 0.188,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 4.708860759493671,
|
| 1084 |
+
"grad_norm": 0.40360767268137376,
|
| 1085 |
+
"learning_rate": 5.411421242889643e-06,
|
| 1086 |
+
"loss": 0.139,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 4.739240506329114,
|
| 1091 |
+
"grad_norm": 0.41779812899318686,
|
| 1092 |
+
"learning_rate": 5.273114948114346e-06,
|
| 1093 |
+
"loss": 0.1642,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 4.769620253164557,
|
| 1098 |
+
"grad_norm": 0.3961846709703568,
|
| 1099 |
+
"learning_rate": 5.135963365741892e-06,
|
| 1100 |
+
"loss": 0.1471,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 4.8,
|
| 1105 |
+
"grad_norm": 0.40133842476598025,
|
| 1106 |
+
"learning_rate": 5.000000000000003e-06,
|
| 1107 |
+
"loss": 0.1367,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 4.830379746835443,
|
| 1112 |
+
"grad_norm": 0.43745906466801676,
|
| 1113 |
+
"learning_rate": 4.865258064851579e-06,
|
| 1114 |
+
"loss": 0.1452,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 4.860759493670886,
|
| 1119 |
+
"grad_norm": 0.41254691993311743,
|
| 1120 |
+
"learning_rate": 4.731770475880995e-06,
|
| 1121 |
+
"loss": 0.1428,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 4.891139240506329,
|
| 1126 |
+
"grad_norm": 0.3992517987662612,
|
| 1127 |
+
"learning_rate": 4.599569842253244e-06,
|
| 1128 |
+
"loss": 0.1564,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 4.921518987341772,
|
| 1133 |
+
"grad_norm": 0.42501443450592047,
|
| 1134 |
+
"learning_rate": 4.468688458748006e-06,
|
| 1135 |
+
"loss": 0.1586,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 4.951898734177215,
|
| 1140 |
+
"grad_norm": 0.421487348641718,
|
| 1141 |
+
"learning_rate": 4.339158297870469e-06,
|
| 1142 |
+
"loss": 0.1401,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 4.982278481012658,
|
| 1147 |
+
"grad_norm": 0.48888887508046985,
|
| 1148 |
+
"learning_rate": 4.211011002040885e-06,
|
| 1149 |
+
"loss": 0.1777,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 5.020253164556962,
|
| 1154 |
+
"grad_norm": 0.532368006164555,
|
| 1155 |
+
"learning_rate": 4.084277875864776e-06,
|
| 1156 |
+
"loss": 0.1548,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 5.050632911392405,
|
| 1161 |
+
"grad_norm": 0.5126184772174526,
|
| 1162 |
+
"learning_rate": 3.958989878485644e-06,
|
| 1163 |
+
"loss": 0.1256,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 5.0810126582278485,
|
| 1168 |
+
"grad_norm": 0.42535194636650964,
|
| 1169 |
+
"learning_rate": 3.83517761602209e-06,
|
| 1170 |
+
"loss": 0.0947,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 5.111392405063291,
|
| 1175 |
+
"grad_norm": 0.3771851719739927,
|
| 1176 |
+
"learning_rate": 3.712871334091154e-06,
|
| 1177 |
+
"loss": 0.0933,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 5.141772151898734,
|
| 1182 |
+
"grad_norm": 0.45196639950573986,
|
| 1183 |
+
"learning_rate": 3.592100910419738e-06,
|
| 1184 |
+
"loss": 0.122,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 5.172151898734177,
|
| 1189 |
+
"grad_norm": 0.45157600306964624,
|
| 1190 |
+
"learning_rate": 3.4728958475459052e-06,
|
| 1191 |
+
"loss": 0.0971,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 5.2025316455696204,
|
| 1196 |
+
"grad_norm": 0.5169697816786871,
|
| 1197 |
+
"learning_rate": 3.355285265611784e-06,
|
| 1198 |
+
"loss": 0.1095,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 5.232911392405064,
|
| 1203 |
+
"grad_norm": 0.5431066086388939,
|
| 1204 |
+
"learning_rate": 3.2392978952499553e-06,
|
| 1205 |
+
"loss": 0.113,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 5.263291139240506,
|
| 1210 |
+
"grad_norm": 0.4731235647267685,
|
| 1211 |
+
"learning_rate": 3.1249620705649417e-06,
|
| 1212 |
+
"loss": 0.1125,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 5.293670886075949,
|
| 1217 |
+
"grad_norm": 0.38763624259915713,
|
| 1218 |
+
"learning_rate": 3.0123057222115835e-06,
|
| 1219 |
+
"loss": 0.1058,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 5.324050632911392,
|
| 1224 |
+
"grad_norm": 0.38932153933623975,
|
| 1225 |
+
"learning_rate": 2.9013563705719673e-06,
|
| 1226 |
+
"loss": 0.0954,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 5.3544303797468356,
|
| 1231 |
+
"grad_norm": 0.3958162438015379,
|
| 1232 |
+
"learning_rate": 2.7921411190325753e-06,
|
| 1233 |
+
"loss": 0.106,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 5.384810126582279,
|
| 1238 |
+
"grad_norm": 0.37217291947862674,
|
| 1239 |
+
"learning_rate": 2.6846866473633126e-06,
|
| 1240 |
+
"loss": 0.0931,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 5.415189873417722,
|
| 1245 |
+
"grad_norm": 0.3789283664630874,
|
| 1246 |
+
"learning_rate": 2.579019205199992e-06,
|
| 1247 |
+
"loss": 0.0908,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 5.445569620253164,
|
| 1252 |
+
"grad_norm": 0.3664134539407824,
|
| 1253 |
+
"learning_rate": 2.4751646056319334e-06,
|
| 1254 |
+
"loss": 0.1057,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 5.4759493670886075,
|
| 1259 |
+
"grad_norm": 0.35771266382078304,
|
| 1260 |
+
"learning_rate": 2.373148218896182e-06,
|
| 1261 |
+
"loss": 0.0986,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 5.506329113924051,
|
| 1266 |
+
"grad_norm": 0.3472703082619096,
|
| 1267 |
+
"learning_rate": 2.2729949661798876e-06,
|
| 1268 |
+
"loss": 0.0877,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 5.536708860759494,
|
| 1273 |
+
"grad_norm": 0.3515962152406197,
|
| 1274 |
+
"learning_rate": 2.174729313532433e-06,
|
| 1275 |
+
"loss": 0.099,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 5.567088607594937,
|
| 1280 |
+
"grad_norm": 0.34854961186427696,
|
| 1281 |
+
"learning_rate": 2.078375265888707e-06,
|
| 1282 |
+
"loss": 0.0958,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 5.597468354430379,
|
| 1287 |
+
"grad_norm": 0.40154731325881876,
|
| 1288 |
+
"learning_rate": 1.9839563612050273e-06,
|
| 1289 |
+
"loss": 0.1123,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 5.627848101265823,
|
| 1294 |
+
"grad_norm": 0.36183221654182146,
|
| 1295 |
+
"learning_rate": 1.8914956647091497e-06,
|
| 1296 |
+
"loss": 0.0934,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 5.658227848101266,
|
| 1301 |
+
"grad_norm": 0.4295934552136442,
|
| 1302 |
+
"learning_rate": 1.8010157632657544e-06,
|
| 1303 |
+
"loss": 0.1252,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 5.688607594936709,
|
| 1308 |
+
"grad_norm": 0.32970138402708415,
|
| 1309 |
+
"learning_rate": 1.7125387598587862e-06,
|
| 1310 |
+
"loss": 0.0801,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 5.718987341772152,
|
| 1315 |
+
"grad_norm": 0.3695821342065737,
|
| 1316 |
+
"learning_rate": 1.6260862681919965e-06,
|
| 1317 |
+
"loss": 0.0998,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 5.749367088607595,
|
| 1322 |
+
"grad_norm": 0.3672619778582091,
|
| 1323 |
+
"learning_rate": 1.5416794074090258e-06,
|
| 1324 |
+
"loss": 0.1002,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 5.779746835443038,
|
| 1329 |
+
"grad_norm": 0.41056065686731014,
|
| 1330 |
+
"learning_rate": 1.459338796934293e-06,
|
| 1331 |
+
"loss": 0.1115,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 5.810126582278481,
|
| 1336 |
+
"grad_norm": 0.35028287274755804,
|
| 1337 |
+
"learning_rate": 1.3790845514359363e-06,
|
| 1338 |
+
"loss": 0.0986,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 5.840506329113924,
|
| 1343 |
+
"grad_norm": 0.35138499534126416,
|
| 1344 |
+
"learning_rate": 1.300936275912098e-06,
|
| 1345 |
+
"loss": 0.108,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 5.870886075949367,
|
| 1350 |
+
"grad_norm": 0.3464988655002844,
|
| 1351 |
+
"learning_rate": 1.224913060901688e-06,
|
| 1352 |
+
"loss": 0.0913,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 5.9012658227848105,
|
| 1357 |
+
"grad_norm": 0.36519734216811445,
|
| 1358 |
+
"learning_rate": 1.1510334778208332e-06,
|
| 1359 |
+
"loss": 0.1042,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 5.931645569620253,
|
| 1364 |
+
"grad_norm": 0.33907718375369833,
|
| 1365 |
+
"learning_rate": 1.0793155744261352e-06,
|
| 1366 |
+
"loss": 0.1083,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 5.962025316455696,
|
| 1371 |
+
"grad_norm": 0.3385410561678952,
|
| 1372 |
+
"learning_rate": 1.0097768704058542e-06,
|
| 1373 |
+
"loss": 0.1117,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 5.992405063291139,
|
| 1378 |
+
"grad_norm": 0.4671555068109887,
|
| 1379 |
+
"learning_rate": 9.424343531000968e-07,
|
| 1380 |
+
"loss": 0.1091,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 6.030379746835443,
|
| 1385 |
+
"grad_norm": 0.41214886246914095,
|
| 1386 |
+
"learning_rate": 8.773044733510338e-07,
|
| 1387 |
+
"loss": 0.0816,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 6.060759493670886,
|
| 1392 |
+
"grad_norm": 0.39539527834164195,
|
| 1393 |
+
"learning_rate": 8.144031414842012e-07,
|
| 1394 |
+
"loss": 0.0799,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 6.091139240506329,
|
| 1399 |
+
"grad_norm": 0.36386501874919946,
|
| 1400 |
+
"learning_rate": 7.537457234218271e-07,
|
| 1401 |
+
"loss": 0.0739,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 6.121518987341772,
|
| 1406 |
+
"grad_norm": 0.31706993387029775,
|
| 1407 |
+
"learning_rate": 6.953470369291349e-07,
|
| 1408 |
+
"loss": 0.0758,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 6.151898734177215,
|
| 1413 |
+
"grad_norm": 0.34669274298668185,
|
| 1414 |
+
"learning_rate": 6.392213479945852e-07,
|
| 1415 |
+
"loss": 0.0949,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 6.182278481012658,
|
| 1420 |
+
"grad_norm": 0.31834158848784283,
|
| 1421 |
+
"learning_rate": 5.853823673448877e-07,
|
| 1422 |
+
"loss": 0.0876,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 6.2126582278481015,
|
| 1427 |
+
"grad_norm": 0.29201858105248085,
|
| 1428 |
+
"learning_rate": 5.33843247095659e-07,
|
| 1429 |
+
"loss": 0.087,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 6.243037974683545,
|
| 1434 |
+
"grad_norm": 0.32292934350297237,
|
| 1435 |
+
"learning_rate": 4.846165775385459e-07,
|
| 1436 |
+
"loss": 0.0895,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 6.273417721518987,
|
| 1441 |
+
"grad_norm": 0.28146694255115595,
|
| 1442 |
+
"learning_rate": 4.3771438406559173e-07,
|
| 1443 |
+
"loss": 0.0889,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 6.30379746835443,
|
| 1448 |
+
"grad_norm": 0.2900228526044847,
|
| 1449 |
+
"learning_rate": 3.931481242315993e-07,
|
| 1450 |
+
"loss": 0.0703,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 6.334177215189873,
|
| 1455 |
+
"grad_norm": 0.2920659823821498,
|
| 1456 |
+
"learning_rate": 3.5092868495520294e-07,
|
| 1457 |
+
"loss": 0.0796,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 6.364556962025317,
|
| 1462 |
+
"grad_norm": 0.35055198081769356,
|
| 1463 |
+
"learning_rate": 3.110663798593616e-07,
|
| 1464 |
+
"loss": 0.0968,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 6.39493670886076,
|
| 1469 |
+
"grad_norm": 0.3152896231902338,
|
| 1470 |
+
"learning_rate": 2.735709467518699e-07,
|
| 1471 |
+
"loss": 0.0825,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 6.425316455696202,
|
| 1476 |
+
"grad_norm": 0.31340595951494493,
|
| 1477 |
+
"learning_rate": 2.384515452465475e-07,
|
| 1478 |
+
"loss": 0.0887,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 6.455696202531645,
|
| 1483 |
+
"grad_norm": 0.3060587528938938,
|
| 1484 |
+
"learning_rate": 2.0571675452567997e-07,
|
| 1485 |
+
"loss": 0.0764,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 6.4860759493670885,
|
| 1490 |
+
"grad_norm": 0.31527091622895953,
|
| 1491 |
+
"learning_rate": 1.7537457124423896e-07,
|
| 1492 |
+
"loss": 0.0887,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 6.516455696202532,
|
| 1497 |
+
"grad_norm": 0.3202497921531981,
|
| 1498 |
+
"learning_rate": 1.474324075764111e-07,
|
| 1499 |
+
"loss": 0.0806,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 6.546835443037975,
|
| 1504 |
+
"grad_norm": 0.34033534010942323,
|
| 1505 |
+
"learning_rate": 1.2189708940490653e-07,
|
| 1506 |
+
"loss": 0.0864,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 6.577215189873417,
|
| 1511 |
+
"grad_norm": 0.31351196332151854,
|
| 1512 |
+
"learning_rate": 9.877485465349057e-08,
|
| 1513 |
+
"loss": 0.0867,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 6.6075949367088604,
|
| 1518 |
+
"grad_norm": 0.3245746897018996,
|
| 1519 |
+
"learning_rate": 7.807135176314707e-08,
|
| 1520 |
+
"loss": 0.0833,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 6.637974683544304,
|
| 1525 |
+
"grad_norm": 0.3159564900300316,
|
| 1526 |
+
"learning_rate": 5.979163831223988e-08,
|
| 1527 |
+
"loss": 0.0833,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 6.668354430379747,
|
| 1532 |
+
"grad_norm": 0.2692316727079578,
|
| 1533 |
+
"learning_rate": 4.394017978101905e-08,
|
| 1534 |
+
"loss": 0.073,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 6.69873417721519,
|
| 1539 |
+
"grad_norm": 0.3240983350991465,
|
| 1540 |
+
"learning_rate": 3.0520848460765525e-08,
|
| 1541 |
+
"loss": 0.0851,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 6.729113924050633,
|
| 1546 |
+
"grad_norm": 0.3080977226597638,
|
| 1547 |
+
"learning_rate": 1.9536922507841227e-08,
|
| 1548 |
+
"loss": 0.0793,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 6.759493670886076,
|
| 1553 |
+
"grad_norm": 0.2963952964292608,
|
| 1554 |
+
"learning_rate": 1.099108514288627e-08,
|
| 1555 |
+
"loss": 0.0734,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 6.789873417721519,
|
| 1560 |
+
"grad_norm": 0.3343021300081363,
|
| 1561 |
+
"learning_rate": 4.885423995341088e-09,
|
| 1562 |
+
"loss": 0.0939,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 6.820253164556962,
|
| 1567 |
+
"grad_norm": 0.3065995855334038,
|
| 1568 |
+
"learning_rate": 1.2214305934699078e-09,
|
| 1569 |
+
"loss": 0.0796,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 6.850632911392405,
|
| 1574 |
+
"grad_norm": 0.31520626619705966,
|
| 1575 |
+
"learning_rate": 0.0,
|
| 1576 |
+
"loss": 0.0811,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 6.850632911392405,
|
| 1581 |
+
"step": 224,
|
| 1582 |
+
"total_flos": 2.86943794002133e+17,
|
| 1583 |
+
"train_loss": 0.2993284181159522,
|
| 1584 |
+
"train_runtime": 12424.2407,
|
| 1585 |
+
"train_samples_per_second": 1.78,
|
| 1586 |
+
"train_steps_per_second": 0.018
|
| 1587 |
+
}
|
| 1588 |
+
],
|
| 1589 |
+
"logging_steps": 1,
|
| 1590 |
+
"max_steps": 224,
|
| 1591 |
+
"num_input_tokens_seen": 0,
|
| 1592 |
+
"num_train_epochs": 7,
|
| 1593 |
+
"save_steps": 500,
|
| 1594 |
+
"stateful_callbacks": {
|
| 1595 |
+
"TrainerControl": {
|
| 1596 |
+
"args": {
|
| 1597 |
+
"should_epoch_stop": false,
|
| 1598 |
+
"should_evaluate": false,
|
| 1599 |
+
"should_log": false,
|
| 1600 |
+
"should_save": true,
|
| 1601 |
+
"should_training_stop": true
|
| 1602 |
+
},
|
| 1603 |
+
"attributes": {}
|
| 1604 |
+
}
|
| 1605 |
+
},
|
| 1606 |
+
"total_flos": 2.86943794002133e+17,
|
| 1607 |
+
"train_batch_size": 1,
|
| 1608 |
+
"trial_name": null,
|
| 1609 |
+
"trial_params": null
|
| 1610 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f0cd23a4aa9dc56874676a3ff18dfc2bf33a4ff1d6feacc9b1ddbd210e15c6c7
|
| 3 |
+
size 7352
|
training_loss.png
ADDED
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|