Upload model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +28 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00014.safetensors +3 -0
- model-00002-of-00014.safetensors +3 -0
- model-00003-of-00014.safetensors +3 -0
- model-00004-of-00014.safetensors +3 -0
- model-00005-of-00014.safetensors +3 -0
- model-00006-of-00014.safetensors +3 -0
- model-00007-of-00014.safetensors +3 -0
- model-00008-of-00014.safetensors +3 -0
- model-00009-of-00014.safetensors +3 -0
- model-00010-of-00014.safetensors +3 -0
- model-00011-of-00014.safetensors +3 -0
- model-00012-of-00014.safetensors +3 -0
- model-00013-of-00014.safetensors +3 -0
- model-00014-of-00014.safetensors +3 -0
- model.safetensors.index.json +778 -0
- runs/Jun16_23-24-32_jpbo-001-20.jupiter.internal/events.out.tfevents.1750109313.jpbo-001-20.jupiter.internal.60727.0 +3 -0
- special_tokens_map.json +31 -0
- start_end.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- train_results.json +8 -0
- trainer_log.jsonl +232 -0
- trainer_state.json +1659 -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 |
+
tags:
|
| 5 |
+
- llama-factory
|
| 6 |
+
- full
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- arrow
|
| 10 |
+
model-index:
|
| 11 |
+
- name: QwQ-32B_enable-liger-kernel_False_OpenThoughts3_3k
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# QwQ-32B_enable-liger-kernel_False_OpenThoughts3_3k
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [/p/data1/mmlaion/dcft/hub/models--Qwen--QwQ-32B/snapshots/976055f8c83f394f35dbd3ab09a285a984907bd0](https://huggingface.co//p/data1/mmlaion/dcft/hub/models--Qwen--QwQ-32B/snapshots/976055f8c83f394f35dbd3ab09a285a984907bd0) on the /p/data1/mmlaion/dcft/hub/mlfoundations-dev___open_thoughts3_3k/default/0.0.0/12d2651dd3f4039c4ebe15e8f579d1e70a5541c0 dataset.
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 2e-05
|
| 40 |
+
- train_batch_size: 1
|
| 41 |
+
- eval_batch_size: 8
|
| 42 |
+
- seed: 42
|
| 43 |
+
- distributed_type: multi-GPU
|
| 44 |
+
- num_devices: 96
|
| 45 |
+
- total_train_batch_size: 96
|
| 46 |
+
- total_eval_batch_size: 768
|
| 47 |
+
- optimizer: Use 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 2.5.0a0+b465a5843b.nv24.09
|
| 60 |
+
- Datasets 3.6.0
|
| 61 |
+
- Tokenizers 0.20.3
|
added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 7.0,
|
| 3 |
+
"total_flos": 2229330703810560.0,
|
| 4 |
+
"train_loss": 0.6009024948010713,
|
| 5 |
+
"train_runtime": 6779.558,
|
| 6 |
+
"train_samples_per_second": 3.263,
|
| 7 |
+
"train_steps_per_second": 0.034
|
| 8 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--QwQ-32B/snapshots/976055f8c83f394f35dbd3ab09a285a984907bd0",
|
| 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": 5120,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 27648,
|
| 13 |
+
"max_position_embeddings": 40960,
|
| 14 |
+
"max_window_layers": 64,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 40,
|
| 17 |
+
"num_hidden_layers": 64,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 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 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 40,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.46.1"
|
| 13 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ce7d43cac652673474e99890bf05f9655cfbd2d94df9e9ed020e4a6490e5eb6
|
| 3 |
+
size 4891730992
|
model-00002-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4afb543e8cdbf9dc32bfa5882145721ee40022e5e6480621f1f9423e8969cb4
|
| 3 |
+
size 4876059352
|
model-00003-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0671363c4b771fa6ed426a8e2fdbe3ebdb71cce702f7e112de30046383ade85c
|
| 3 |
+
size 4876059384
|
model-00004-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7745b4f2c826df62ec84319ab2dd0cef70ea71e52bfd86f1b348d2bb91b04a78
|
| 3 |
+
size 4876059416
|
model-00005-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57524deb61b90307a918daa61d6e8b3e3994c7799c0fb039f5a19619fd139c4e
|
| 3 |
+
size 4876059416
|
model-00006-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d7d9c3f52f2059660a70ee5e92c566d057f650a038a8681df12c30fcf5ec1b2
|
| 3 |
+
size 4876059416
|
model-00007-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac1f835fcf6bdd685ea02cff6913d06cbf2a0317c8de31dde862a0a27c8127c8
|
| 3 |
+
size 4876059416
|
model-00008-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d3826e419f916a1f5b289bd8e95100eef9d8d22436eb4f907a9b1374a08881f
|
| 3 |
+
size 4876059416
|
model-00009-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a36efd8f616fba51a4605997aa19f0a0b72cc18d1b9cb480a0a98cdc9904a4d
|
| 3 |
+
size 4876059416
|
model-00010-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b2edfc20d497bf96a2a70046083ae18472e89fdff3afa34196cb665db55e34a
|
| 3 |
+
size 4876059416
|
model-00011-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b63a78d6b058d569d69112609cbc189a94ddc0af058bb5d398ada5d17871e6e3
|
| 3 |
+
size 4876059416
|
model-00012-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a62d85e00321c93953f5394c196cff054a27f85d15a5cb31ab583da8663a7353
|
| 3 |
+
size 4876059416
|
model-00013-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c077f872c64341c7a1580664e7df1340a9916a86479f058b836eb19f1d17b7f
|
| 3 |
+
size 4876059416
|
model-00014-of-00014.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73b2c9230960890180b60dfc98fca246342032236a5fdd5e77b98ae72787c993
|
| 3 |
+
size 2123397800
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,778 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 65527752704
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00014-of-00014.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00014.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
|
| 260 |
+
"model.layers.28.input_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 261 |
+
"model.layers.28.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
|
| 262 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
|
| 263 |
+
"model.layers.28.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
|
| 264 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 265 |
+
"model.layers.28.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
|
| 266 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
|
| 267 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
|
| 268 |
+
"model.layers.28.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
|
| 269 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
|
| 270 |
+
"model.layers.28.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
|
| 271 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
|
| 272 |
+
"model.layers.29.input_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 273 |
+
"model.layers.29.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
|
| 274 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
|
| 275 |
+
"model.layers.29.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
|
| 276 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 277 |
+
"model.layers.29.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
|
| 278 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
|
| 279 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
|
| 280 |
+
"model.layers.29.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
|
| 281 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
|
| 282 |
+
"model.layers.29.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
|
| 283 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
|
| 284 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 285 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
| 286 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
|
| 287 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
| 288 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 289 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
|
| 290 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
|
| 291 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
|
| 292 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
|
| 293 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
|
| 294 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
|
| 295 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
|
| 296 |
+
"model.layers.30.input_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 297 |
+
"model.layers.30.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
|
| 298 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
|
| 299 |
+
"model.layers.30.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
|
| 300 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 301 |
+
"model.layers.30.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
|
| 302 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
|
| 303 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
|
| 304 |
+
"model.layers.30.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
|
| 305 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
|
| 306 |
+
"model.layers.30.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
|
| 307 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
|
| 308 |
+
"model.layers.31.input_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 309 |
+
"model.layers.31.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
|
| 310 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
|
| 311 |
+
"model.layers.31.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
|
| 312 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 313 |
+
"model.layers.31.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
|
| 314 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
|
| 315 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
|
| 316 |
+
"model.layers.31.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
|
| 317 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
|
| 318 |
+
"model.layers.31.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
|
| 319 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
|
| 320 |
+
"model.layers.32.input_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 321 |
+
"model.layers.32.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
|
| 322 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
|
| 323 |
+
"model.layers.32.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
|
| 324 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
|
| 325 |
+
"model.layers.32.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
|
| 326 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
|
| 327 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
|
| 328 |
+
"model.layers.32.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
|
| 329 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
|
| 330 |
+
"model.layers.32.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
|
| 331 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
|
| 332 |
+
"model.layers.33.input_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 333 |
+
"model.layers.33.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
|
| 334 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
|
| 335 |
+
"model.layers.33.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
|
| 336 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 337 |
+
"model.layers.33.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
|
| 338 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
|
| 339 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
|
| 340 |
+
"model.layers.33.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
|
| 341 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
|
| 342 |
+
"model.layers.33.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
|
| 343 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
|
| 344 |
+
"model.layers.34.input_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 345 |
+
"model.layers.34.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
|
| 346 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
|
| 347 |
+
"model.layers.34.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
|
| 348 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 349 |
+
"model.layers.34.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
|
| 350 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
|
| 351 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
|
| 352 |
+
"model.layers.34.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
|
| 353 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
|
| 354 |
+
"model.layers.34.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
|
| 355 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
|
| 356 |
+
"model.layers.35.input_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 357 |
+
"model.layers.35.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
|
| 358 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
|
| 359 |
+
"model.layers.35.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
|
| 360 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 361 |
+
"model.layers.35.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
|
| 362 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
|
| 363 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
|
| 364 |
+
"model.layers.35.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
|
| 365 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
|
| 366 |
+
"model.layers.35.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
|
| 367 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
|
| 368 |
+
"model.layers.36.input_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 369 |
+
"model.layers.36.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
|
| 370 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
|
| 371 |
+
"model.layers.36.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
|
| 372 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 373 |
+
"model.layers.36.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
|
| 374 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
|
| 375 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
|
| 376 |
+
"model.layers.36.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
|
| 377 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
|
| 378 |
+
"model.layers.36.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
|
| 379 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
|
| 380 |
+
"model.layers.37.input_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 381 |
+
"model.layers.37.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
|
| 382 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
|
| 383 |
+
"model.layers.37.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
|
| 384 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
|
| 385 |
+
"model.layers.37.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
|
| 386 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
|
| 387 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
|
| 388 |
+
"model.layers.37.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
|
| 389 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
|
| 390 |
+
"model.layers.37.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
|
| 391 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
|
| 392 |
+
"model.layers.38.input_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 393 |
+
"model.layers.38.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
|
| 394 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
|
| 395 |
+
"model.layers.38.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
|
| 396 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 397 |
+
"model.layers.38.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
|
| 398 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
|
| 399 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
|
| 400 |
+
"model.layers.38.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
|
| 401 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
|
| 402 |
+
"model.layers.38.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
|
| 403 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
|
| 404 |
+
"model.layers.39.input_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 405 |
+
"model.layers.39.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
|
| 406 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
|
| 407 |
+
"model.layers.39.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
|
| 408 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 409 |
+
"model.layers.39.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
|
| 410 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
|
| 411 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
|
| 412 |
+
"model.layers.39.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
|
| 413 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
|
| 414 |
+
"model.layers.39.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
|
| 415 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
|
| 416 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 417 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
| 418 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
| 419 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
| 420 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 421 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
| 422 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
| 423 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
| 424 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
| 425 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
| 426 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
| 427 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
| 428 |
+
"model.layers.40.input_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 429 |
+
"model.layers.40.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
|
| 430 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
|
| 431 |
+
"model.layers.40.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
|
| 432 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 433 |
+
"model.layers.40.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
|
| 434 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
|
| 435 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
|
| 436 |
+
"model.layers.40.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
|
| 437 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
|
| 438 |
+
"model.layers.40.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
|
| 439 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
|
| 440 |
+
"model.layers.41.input_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 441 |
+
"model.layers.41.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
|
| 442 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
|
| 443 |
+
"model.layers.41.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
|
| 444 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 445 |
+
"model.layers.41.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
|
| 446 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
|
| 447 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
|
| 448 |
+
"model.layers.41.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
|
| 449 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
|
| 450 |
+
"model.layers.41.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
|
| 451 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
|
| 452 |
+
"model.layers.42.input_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 453 |
+
"model.layers.42.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
|
| 454 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
|
| 455 |
+
"model.layers.42.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
|
| 456 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
|
| 457 |
+
"model.layers.42.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
|
| 458 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
|
| 459 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
|
| 460 |
+
"model.layers.42.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
|
| 461 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
|
| 462 |
+
"model.layers.42.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
|
| 463 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
|
| 464 |
+
"model.layers.43.input_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 465 |
+
"model.layers.43.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
|
| 466 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
|
| 467 |
+
"model.layers.43.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
|
| 468 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 469 |
+
"model.layers.43.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
|
| 470 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
|
| 471 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
|
| 472 |
+
"model.layers.43.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
|
| 473 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
|
| 474 |
+
"model.layers.43.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
|
| 475 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
|
| 476 |
+
"model.layers.44.input_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 477 |
+
"model.layers.44.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
|
| 478 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
|
| 479 |
+
"model.layers.44.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
|
| 480 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 481 |
+
"model.layers.44.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
|
| 482 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
|
| 483 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
|
| 484 |
+
"model.layers.44.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
|
| 485 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
|
| 486 |
+
"model.layers.44.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
|
| 487 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
|
| 488 |
+
"model.layers.45.input_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 489 |
+
"model.layers.45.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
|
| 490 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
|
| 491 |
+
"model.layers.45.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
|
| 492 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 493 |
+
"model.layers.45.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
|
| 494 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
|
| 495 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
|
| 496 |
+
"model.layers.45.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
|
| 497 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
|
| 498 |
+
"model.layers.45.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
|
| 499 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
|
| 500 |
+
"model.layers.46.input_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 501 |
+
"model.layers.46.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
|
| 502 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
|
| 503 |
+
"model.layers.46.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
|
| 504 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 505 |
+
"model.layers.46.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
|
| 506 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
|
| 507 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
|
| 508 |
+
"model.layers.46.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
|
| 509 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
|
| 510 |
+
"model.layers.46.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
|
| 511 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
|
| 512 |
+
"model.layers.47.input_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 513 |
+
"model.layers.47.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
|
| 514 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
|
| 515 |
+
"model.layers.47.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
|
| 516 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
|
| 517 |
+
"model.layers.47.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
|
| 518 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
|
| 519 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
|
| 520 |
+
"model.layers.47.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
|
| 521 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
|
| 522 |
+
"model.layers.47.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
|
| 523 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
|
| 524 |
+
"model.layers.48.input_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 525 |
+
"model.layers.48.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
|
| 526 |
+
"model.layers.48.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
|
| 527 |
+
"model.layers.48.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
|
| 528 |
+
"model.layers.48.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 529 |
+
"model.layers.48.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
|
| 530 |
+
"model.layers.48.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
|
| 531 |
+
"model.layers.48.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
|
| 532 |
+
"model.layers.48.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
|
| 533 |
+
"model.layers.48.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
|
| 534 |
+
"model.layers.48.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
|
| 535 |
+
"model.layers.48.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
|
| 536 |
+
"model.layers.49.input_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 537 |
+
"model.layers.49.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
|
| 538 |
+
"model.layers.49.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
|
| 539 |
+
"model.layers.49.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
|
| 540 |
+
"model.layers.49.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 541 |
+
"model.layers.49.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
|
| 542 |
+
"model.layers.49.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
|
| 543 |
+
"model.layers.49.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
|
| 544 |
+
"model.layers.49.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
|
| 545 |
+
"model.layers.49.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
|
| 546 |
+
"model.layers.49.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
|
| 547 |
+
"model.layers.49.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
|
| 548 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 549 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
| 550 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
| 551 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
| 552 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 553 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
| 554 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
| 555 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
| 556 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
| 557 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
| 558 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
| 559 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
| 560 |
+
"model.layers.50.input_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 561 |
+
"model.layers.50.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
|
| 562 |
+
"model.layers.50.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
|
| 563 |
+
"model.layers.50.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
|
| 564 |
+
"model.layers.50.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 565 |
+
"model.layers.50.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
|
| 566 |
+
"model.layers.50.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
|
| 567 |
+
"model.layers.50.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
|
| 568 |
+
"model.layers.50.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
|
| 569 |
+
"model.layers.50.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
|
| 570 |
+
"model.layers.50.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
|
| 571 |
+
"model.layers.50.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
|
| 572 |
+
"model.layers.51.input_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 573 |
+
"model.layers.51.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
|
| 574 |
+
"model.layers.51.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
|
| 575 |
+
"model.layers.51.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
|
| 576 |
+
"model.layers.51.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 577 |
+
"model.layers.51.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
|
| 578 |
+
"model.layers.51.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
|
| 579 |
+
"model.layers.51.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
|
| 580 |
+
"model.layers.51.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
|
| 581 |
+
"model.layers.51.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
|
| 582 |
+
"model.layers.51.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
|
| 583 |
+
"model.layers.51.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
|
| 584 |
+
"model.layers.52.input_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 585 |
+
"model.layers.52.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
|
| 586 |
+
"model.layers.52.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
|
| 587 |
+
"model.layers.52.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
|
| 588 |
+
"model.layers.52.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
|
| 589 |
+
"model.layers.52.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
|
| 590 |
+
"model.layers.52.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
|
| 591 |
+
"model.layers.52.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
|
| 592 |
+
"model.layers.52.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
|
| 593 |
+
"model.layers.52.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
|
| 594 |
+
"model.layers.52.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
|
| 595 |
+
"model.layers.52.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
|
| 596 |
+
"model.layers.53.input_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 597 |
+
"model.layers.53.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
|
| 598 |
+
"model.layers.53.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
|
| 599 |
+
"model.layers.53.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
|
| 600 |
+
"model.layers.53.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 601 |
+
"model.layers.53.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
|
| 602 |
+
"model.layers.53.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
|
| 603 |
+
"model.layers.53.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
|
| 604 |
+
"model.layers.53.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
|
| 605 |
+
"model.layers.53.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
|
| 606 |
+
"model.layers.53.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
|
| 607 |
+
"model.layers.53.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
|
| 608 |
+
"model.layers.54.input_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 609 |
+
"model.layers.54.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
|
| 610 |
+
"model.layers.54.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
|
| 611 |
+
"model.layers.54.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
|
| 612 |
+
"model.layers.54.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 613 |
+
"model.layers.54.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
|
| 614 |
+
"model.layers.54.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
|
| 615 |
+
"model.layers.54.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
|
| 616 |
+
"model.layers.54.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
|
| 617 |
+
"model.layers.54.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
|
| 618 |
+
"model.layers.54.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
|
| 619 |
+
"model.layers.54.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
|
| 620 |
+
"model.layers.55.input_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 621 |
+
"model.layers.55.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
|
| 622 |
+
"model.layers.55.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
|
| 623 |
+
"model.layers.55.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
|
| 624 |
+
"model.layers.55.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 625 |
+
"model.layers.55.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
|
| 626 |
+
"model.layers.55.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
|
| 627 |
+
"model.layers.55.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
|
| 628 |
+
"model.layers.55.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
|
| 629 |
+
"model.layers.55.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
|
| 630 |
+
"model.layers.55.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
|
| 631 |
+
"model.layers.55.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
|
| 632 |
+
"model.layers.56.input_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 633 |
+
"model.layers.56.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
|
| 634 |
+
"model.layers.56.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
|
| 635 |
+
"model.layers.56.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
|
| 636 |
+
"model.layers.56.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 637 |
+
"model.layers.56.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
|
| 638 |
+
"model.layers.56.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
|
| 639 |
+
"model.layers.56.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
|
| 640 |
+
"model.layers.56.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
|
| 641 |
+
"model.layers.56.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
|
| 642 |
+
"model.layers.56.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
|
| 643 |
+
"model.layers.56.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
|
| 644 |
+
"model.layers.57.input_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 645 |
+
"model.layers.57.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
|
| 646 |
+
"model.layers.57.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
|
| 647 |
+
"model.layers.57.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
|
| 648 |
+
"model.layers.57.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
|
| 649 |
+
"model.layers.57.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
|
| 650 |
+
"model.layers.57.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
|
| 651 |
+
"model.layers.57.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
|
| 652 |
+
"model.layers.57.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
|
| 653 |
+
"model.layers.57.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
|
| 654 |
+
"model.layers.57.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
|
| 655 |
+
"model.layers.57.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
|
| 656 |
+
"model.layers.58.input_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 657 |
+
"model.layers.58.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
|
| 658 |
+
"model.layers.58.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
|
| 659 |
+
"model.layers.58.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
|
| 660 |
+
"model.layers.58.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 661 |
+
"model.layers.58.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
|
| 662 |
+
"model.layers.58.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
|
| 663 |
+
"model.layers.58.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
|
| 664 |
+
"model.layers.58.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
|
| 665 |
+
"model.layers.58.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
|
| 666 |
+
"model.layers.58.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
|
| 667 |
+
"model.layers.58.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
|
| 668 |
+
"model.layers.59.input_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 669 |
+
"model.layers.59.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
|
| 670 |
+
"model.layers.59.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
| 671 |
+
"model.layers.59.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
|
| 672 |
+
"model.layers.59.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 673 |
+
"model.layers.59.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
| 674 |
+
"model.layers.59.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
| 675 |
+
"model.layers.59.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
| 676 |
+
"model.layers.59.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
| 677 |
+
"model.layers.59.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
| 678 |
+
"model.layers.59.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
| 679 |
+
"model.layers.59.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
| 680 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 681 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
| 682 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
| 683 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
| 684 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 685 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
| 686 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
| 687 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
| 688 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
| 689 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
| 690 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
| 691 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
| 692 |
+
"model.layers.60.input_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 693 |
+
"model.layers.60.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
|
| 694 |
+
"model.layers.60.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
| 695 |
+
"model.layers.60.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
|
| 696 |
+
"model.layers.60.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 697 |
+
"model.layers.60.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
| 698 |
+
"model.layers.60.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
| 699 |
+
"model.layers.60.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
| 700 |
+
"model.layers.60.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
| 701 |
+
"model.layers.60.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
| 702 |
+
"model.layers.60.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
| 703 |
+
"model.layers.60.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
| 704 |
+
"model.layers.61.input_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 705 |
+
"model.layers.61.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
|
| 706 |
+
"model.layers.61.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
| 707 |
+
"model.layers.61.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
|
| 708 |
+
"model.layers.61.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 709 |
+
"model.layers.61.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
| 710 |
+
"model.layers.61.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
| 711 |
+
"model.layers.61.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
| 712 |
+
"model.layers.61.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
| 713 |
+
"model.layers.61.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
| 714 |
+
"model.layers.61.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
| 715 |
+
"model.layers.61.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
| 716 |
+
"model.layers.62.input_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 717 |
+
"model.layers.62.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
|
| 718 |
+
"model.layers.62.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
| 719 |
+
"model.layers.62.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
|
| 720 |
+
"model.layers.62.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
|
| 721 |
+
"model.layers.62.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
| 722 |
+
"model.layers.62.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
| 723 |
+
"model.layers.62.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
| 724 |
+
"model.layers.62.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
| 725 |
+
"model.layers.62.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
| 726 |
+
"model.layers.62.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
| 727 |
+
"model.layers.62.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
| 728 |
+
"model.layers.63.input_layernorm.weight": "model-00014-of-00014.safetensors",
|
| 729 |
+
"model.layers.63.mlp.down_proj.weight": "model-00014-of-00014.safetensors",
|
| 730 |
+
"model.layers.63.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
| 731 |
+
"model.layers.63.mlp.up_proj.weight": "model-00014-of-00014.safetensors",
|
| 732 |
+
"model.layers.63.post_attention_layernorm.weight": "model-00014-of-00014.safetensors",
|
| 733 |
+
"model.layers.63.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
| 734 |
+
"model.layers.63.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
| 735 |
+
"model.layers.63.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
| 736 |
+
"model.layers.63.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
| 737 |
+
"model.layers.63.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
| 738 |
+
"model.layers.63.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
| 739 |
+
"model.layers.63.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
| 740 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 741 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
| 742 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
| 743 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
| 744 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
| 745 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
| 746 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
| 747 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
| 748 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
| 749 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
| 750 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
| 751 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
| 752 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 753 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
| 754 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
| 755 |
+
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
| 756 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 757 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
| 758 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
| 759 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
| 760 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
| 761 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
| 762 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
| 763 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
| 764 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 765 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
| 766 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
| 767 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
| 768 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
| 769 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
| 770 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
| 771 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
| 772 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
| 773 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
| 774 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
| 775 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
| 776 |
+
"model.norm.weight": "model-00014-of-00014.safetensors"
|
| 777 |
+
}
|
| 778 |
+
}
|
runs/Jun16_23-24-32_jpbo-001-20.jupiter.internal/events.out.tfevents.1750109313.jpbo-001-20.jupiter.internal.60727.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2bb3d960e652b74f984c620f77432d2a0b36c4c2d54d492b17aadc1d727346d1
|
| 3 |
+
size 54224
|
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": "2025-06-16 23:24:32", "end_time": "2025-06-17 01:22:21"}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- '' }}\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 {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" and not message.tool_calls %}\n {%- set content = message.content %}\n {%- if not loop.last %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- if not loop.last %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + 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<think>\\n' }}\n{%- endif %}\n",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|endoftext|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"padding_side": "right",
|
| 237 |
+
"split_special_tokens": false,
|
| 238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 7.0,
|
| 3 |
+
"total_flos": 2229330703810560.0,
|
| 4 |
+
"train_loss": 0.6009024948010713,
|
| 5 |
+
"train_runtime": 6779.558,
|
| 6 |
+
"train_samples_per_second": 3.263,
|
| 7 |
+
"train_steps_per_second": 0.034
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,232 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 1, "total_steps": 231, "loss": 0.8175, "lr": 8.333333333333333e-07, "epoch": 0.030303030303030304, "percentage": 0.43, "elapsed_time": "0:00:36", "remaining_time": "2:18:36"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 231, "loss": 0.8089, "lr": 1.6666666666666667e-06, "epoch": 0.06060606060606061, "percentage": 0.87, "elapsed_time": "0:01:03", "remaining_time": "2:01:08"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 231, "loss": 0.7975, "lr": 2.5e-06, "epoch": 0.09090909090909091, "percentage": 1.3, "elapsed_time": "0:01:30", "remaining_time": "1:54:52"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 231, "loss": 0.8046, "lr": 3.3333333333333333e-06, "epoch": 0.12121212121212122, "percentage": 1.73, "elapsed_time": "0:01:57", "remaining_time": "1:51:30"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 231, "loss": 0.8215, "lr": 4.166666666666667e-06, "epoch": 0.15151515151515152, "percentage": 2.16, "elapsed_time": "0:02:23", "remaining_time": "1:48:14"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 231, "loss": 0.7906, "lr": 5e-06, "epoch": 0.18181818181818182, "percentage": 2.6, "elapsed_time": "0:02:50", "remaining_time": "1:46:33"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 231, "loss": 0.793, "lr": 5.833333333333334e-06, "epoch": 0.21212121212121213, "percentage": 3.03, "elapsed_time": "0:03:16", "remaining_time": "1:44:49"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 231, "loss": 0.8245, "lr": 6.666666666666667e-06, "epoch": 0.24242424242424243, "percentage": 3.46, "elapsed_time": "0:03:42", "remaining_time": "1:43:34"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 231, "loss": 0.7622, "lr": 7.500000000000001e-06, "epoch": 0.2727272727272727, "percentage": 3.9, "elapsed_time": "0:04:09", "remaining_time": "1:42:41"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 231, "loss": 0.747, "lr": 8.333333333333334e-06, "epoch": 0.30303030303030304, "percentage": 4.33, "elapsed_time": "0:04:33", "remaining_time": "1:40:51"}
|
| 11 |
+
{"current_steps": 11, "total_steps": 231, "loss": 0.7662, "lr": 9.166666666666666e-06, "epoch": 0.3333333333333333, "percentage": 4.76, "elapsed_time": "0:04:59", "remaining_time": "1:39:54"}
|
| 12 |
+
{"current_steps": 12, "total_steps": 231, "loss": 0.7814, "lr": 1e-05, "epoch": 0.36363636363636365, "percentage": 5.19, "elapsed_time": "0:05:26", "remaining_time": "1:39:11"}
|
| 13 |
+
{"current_steps": 13, "total_steps": 231, "loss": 0.7766, "lr": 1.0833333333333334e-05, "epoch": 0.3939393939393939, "percentage": 5.63, "elapsed_time": "0:05:52", "remaining_time": "1:38:34"}
|
| 14 |
+
{"current_steps": 14, "total_steps": 231, "loss": 0.8209, "lr": 1.1666666666666668e-05, "epoch": 0.42424242424242425, "percentage": 6.06, "elapsed_time": "0:06:19", "remaining_time": "1:37:59"}
|
| 15 |
+
{"current_steps": 15, "total_steps": 231, "loss": 0.7498, "lr": 1.25e-05, "epoch": 0.45454545454545453, "percentage": 6.49, "elapsed_time": "0:06:45", "remaining_time": "1:37:22"}
|
| 16 |
+
{"current_steps": 16, "total_steps": 231, "loss": 0.7466, "lr": 1.3333333333333333e-05, "epoch": 0.48484848484848486, "percentage": 6.93, "elapsed_time": "0:07:12", "remaining_time": "1:36:48"}
|
| 17 |
+
{"current_steps": 17, "total_steps": 231, "loss": 0.7514, "lr": 1.416666666666667e-05, "epoch": 0.5151515151515151, "percentage": 7.36, "elapsed_time": "0:07:39", "remaining_time": "1:36:22"}
|
| 18 |
+
{"current_steps": 18, "total_steps": 231, "loss": 0.7879, "lr": 1.5000000000000002e-05, "epoch": 0.5454545454545454, "percentage": 7.79, "elapsed_time": "0:08:05", "remaining_time": "1:35:49"}
|
| 19 |
+
{"current_steps": 19, "total_steps": 231, "loss": 0.804, "lr": 1.5833333333333333e-05, "epoch": 0.5757575757575758, "percentage": 8.23, "elapsed_time": "0:08:32", "remaining_time": "1:35:18"}
|
| 20 |
+
{"current_steps": 20, "total_steps": 231, "loss": 0.7816, "lr": 1.6666666666666667e-05, "epoch": 0.6060606060606061, "percentage": 8.66, "elapsed_time": "0:08:59", "remaining_time": "1:34:56"}
|
| 21 |
+
{"current_steps": 21, "total_steps": 231, "loss": 0.7771, "lr": 1.7500000000000002e-05, "epoch": 0.6363636363636364, "percentage": 9.09, "elapsed_time": "0:09:26", "remaining_time": "1:34:22"}
|
| 22 |
+
{"current_steps": 22, "total_steps": 231, "loss": 0.8016, "lr": 1.8333333333333333e-05, "epoch": 0.6666666666666666, "percentage": 9.52, "elapsed_time": "0:09:52", "remaining_time": "1:33:45"}
|
| 23 |
+
{"current_steps": 23, "total_steps": 231, "loss": 0.8217, "lr": 1.916666666666667e-05, "epoch": 0.696969696969697, "percentage": 9.96, "elapsed_time": "0:10:18", "remaining_time": "1:33:15"}
|
| 24 |
+
{"current_steps": 24, "total_steps": 231, "loss": 0.7633, "lr": 2e-05, "epoch": 0.7272727272727273, "percentage": 10.39, "elapsed_time": "0:10:46", "remaining_time": "1:32:52"}
|
| 25 |
+
{"current_steps": 25, "total_steps": 231, "loss": 0.7889, "lr": 1.999884834944106e-05, "epoch": 0.7575757575757576, "percentage": 10.82, "elapsed_time": "0:11:12", "remaining_time": "1:32:21"}
|
| 26 |
+
{"current_steps": 26, "total_steps": 231, "loss": 0.7973, "lr": 1.9995393663024054e-05, "epoch": 0.7878787878787878, "percentage": 11.26, "elapsed_time": "0:11:39", "remaining_time": "1:31:55"}
|
| 27 |
+
{"current_steps": 27, "total_steps": 231, "loss": 0.7742, "lr": 1.9989636736467278e-05, "epoch": 0.8181818181818182, "percentage": 11.69, "elapsed_time": "0:12:06", "remaining_time": "1:31:31"}
|
| 28 |
+
{"current_steps": 28, "total_steps": 231, "loss": 0.7885, "lr": 1.9981578895764272e-05, "epoch": 0.8484848484848485, "percentage": 12.12, "elapsed_time": "0:12:33", "remaining_time": "1:31:03"}
|
| 29 |
+
{"current_steps": 29, "total_steps": 231, "loss": 0.773, "lr": 1.9971221996878395e-05, "epoch": 0.8787878787878788, "percentage": 12.55, "elapsed_time": "0:12:59", "remaining_time": "1:30:31"}
|
| 30 |
+
{"current_steps": 30, "total_steps": 231, "loss": 0.7916, "lr": 1.9958568425315316e-05, "epoch": 0.9090909090909091, "percentage": 12.99, "elapsed_time": "0:13:27", "remaining_time": "1:30:13"}
|
| 31 |
+
{"current_steps": 31, "total_steps": 231, "loss": 0.8188, "lr": 1.9943621095573588e-05, "epoch": 0.9393939393939394, "percentage": 13.42, "elapsed_time": "0:13:54", "remaining_time": "1:29:45"}
|
| 32 |
+
{"current_steps": 32, "total_steps": 231, "loss": 0.7724, "lr": 1.9926383450473344e-05, "epoch": 0.9696969696969697, "percentage": 13.85, "elapsed_time": "0:14:21", "remaining_time": "1:29:15"}
|
| 33 |
+
{"current_steps": 33, "total_steps": 231, "loss": 0.7806, "lr": 1.9906859460363307e-05, "epoch": 1.0, "percentage": 14.29, "elapsed_time": "0:14:44", "remaining_time": "1:28:28"}
|
| 34 |
+
{"current_steps": 34, "total_steps": 231, "loss": 0.7569, "lr": 1.9885053622206305e-05, "epoch": 1.0303030303030303, "percentage": 14.72, "elapsed_time": "0:16:33", "remaining_time": "1:35:58"}
|
| 35 |
+
{"current_steps": 35, "total_steps": 231, "loss": 0.7723, "lr": 1.986097095854347e-05, "epoch": 1.0606060606060606, "percentage": 15.15, "elapsed_time": "0:17:00", "remaining_time": "1:35:15"}
|
| 36 |
+
{"current_steps": 36, "total_steps": 231, "loss": 0.7419, "lr": 1.9834617016337424e-05, "epoch": 1.0909090909090908, "percentage": 15.58, "elapsed_time": "0:17:26", "remaining_time": "1:34:29"}
|
| 37 |
+
{"current_steps": 37, "total_steps": 231, "loss": 0.7838, "lr": 1.9805997865694616e-05, "epoch": 1.121212121212121, "percentage": 16.02, "elapsed_time": "0:17:53", "remaining_time": "1:33:48"}
|
| 38 |
+
{"current_steps": 38, "total_steps": 231, "loss": 0.732, "lr": 1.9775120098467212e-05, "epoch": 1.1515151515151516, "percentage": 16.45, "elapsed_time": "0:18:19", "remaining_time": "1:33:04"}
|
| 39 |
+
{"current_steps": 39, "total_steps": 231, "loss": 0.7479, "lr": 1.9741990826734793e-05, "epoch": 1.1818181818181819, "percentage": 16.88, "elapsed_time": "0:18:45", "remaining_time": "1:32:18"}
|
| 40 |
+
{"current_steps": 40, "total_steps": 231, "loss": 0.7416, "lr": 1.970661768116622e-05, "epoch": 1.2121212121212122, "percentage": 17.32, "elapsed_time": "0:19:11", "remaining_time": "1:31:36"}
|
| 41 |
+
{"current_steps": 41, "total_steps": 231, "loss": 0.7445, "lr": 1.9669008809262064e-05, "epoch": 1.2424242424242424, "percentage": 17.75, "elapsed_time": "0:19:38", "remaining_time": "1:30:59"}
|
| 42 |
+
{"current_steps": 42, "total_steps": 231, "loss": 0.716, "lr": 1.9629172873477995e-05, "epoch": 1.2727272727272727, "percentage": 18.18, "elapsed_time": "0:20:04", "remaining_time": "1:30:19"}
|
| 43 |
+
{"current_steps": 43, "total_steps": 231, "loss": 0.7794, "lr": 1.9587119049229558e-05, "epoch": 1.303030303030303, "percentage": 18.61, "elapsed_time": "0:20:30", "remaining_time": "1:29:38"}
|
| 44 |
+
{"current_steps": 44, "total_steps": 231, "loss": 0.7426, "lr": 1.954285702277879e-05, "epoch": 1.3333333333333333, "percentage": 19.05, "elapsed_time": "0:20:56", "remaining_time": "1:29:00"}
|
| 45 |
+
{"current_steps": 45, "total_steps": 231, "loss": 0.7072, "lr": 1.9496396989003195e-05, "epoch": 1.3636363636363638, "percentage": 19.48, "elapsed_time": "0:21:23", "remaining_time": "1:28:23"}
|
| 46 |
+
{"current_steps": 46, "total_steps": 231, "loss": 0.7122, "lr": 1.944774964904754e-05, "epoch": 1.393939393939394, "percentage": 19.91, "elapsed_time": "0:21:49", "remaining_time": "1:27:45"}
|
| 47 |
+
{"current_steps": 47, "total_steps": 231, "loss": 0.7553, "lr": 1.9396926207859085e-05, "epoch": 1.4242424242424243, "percentage": 20.35, "elapsed_time": "0:22:16", "remaining_time": "1:27:11"}
|
| 48 |
+
{"current_steps": 48, "total_steps": 231, "loss": 0.7323, "lr": 1.9343938371606714e-05, "epoch": 1.4545454545454546, "percentage": 20.78, "elapsed_time": "0:22:42", "remaining_time": "1:26:35"}
|
| 49 |
+
{"current_steps": 49, "total_steps": 231, "loss": 0.719, "lr": 1.9288798344984673e-05, "epoch": 1.4848484848484849, "percentage": 21.21, "elapsed_time": "0:23:10", "remaining_time": "1:26:03"}
|
| 50 |
+
{"current_steps": 50, "total_steps": 231, "loss": 0.6852, "lr": 1.9231518828401458e-05, "epoch": 1.5151515151515151, "percentage": 21.65, "elapsed_time": "0:23:36", "remaining_time": "1:25:29"}
|
| 51 |
+
{"current_steps": 51, "total_steps": 231, "loss": 0.7347, "lr": 1.917211301505453e-05, "epoch": 1.5454545454545454, "percentage": 22.08, "elapsed_time": "0:24:03", "remaining_time": "1:24:54"}
|
| 52 |
+
{"current_steps": 52, "total_steps": 231, "loss": 0.7037, "lr": 1.911059458789152e-05, "epoch": 1.5757575757575757, "percentage": 22.51, "elapsed_time": "0:24:28", "remaining_time": "1:24:16"}
|
| 53 |
+
{"current_steps": 53, "total_steps": 231, "loss": 0.7463, "lr": 1.9046977716458627e-05, "epoch": 1.606060606060606, "percentage": 22.94, "elapsed_time": "0:24:55", "remaining_time": "1:23:42"}
|
| 54 |
+
{"current_steps": 54, "total_steps": 231, "loss": 0.7404, "lr": 1.8981277053636963e-05, "epoch": 1.6363636363636362, "percentage": 23.38, "elapsed_time": "0:25:22", "remaining_time": "1:23:09"}
|
| 55 |
+
{"current_steps": 55, "total_steps": 231, "loss": 0.7248, "lr": 1.891350773226754e-05, "epoch": 1.6666666666666665, "percentage": 23.81, "elapsed_time": "0:25:48", "remaining_time": "1:22:35"}
|
| 56 |
+
{"current_steps": 56, "total_steps": 231, "loss": 0.7691, "lr": 1.8843685361665724e-05, "epoch": 1.696969696969697, "percentage": 24.24, "elapsed_time": "0:26:15", "remaining_time": "1:22:02"}
|
| 57 |
+
{"current_steps": 57, "total_steps": 231, "loss": 0.6955, "lr": 1.8771826024025944e-05, "epoch": 1.7272727272727273, "percentage": 24.68, "elapsed_time": "0:26:42", "remaining_time": "1:21:30"}
|
| 58 |
+
{"current_steps": 58, "total_steps": 231, "loss": 0.7683, "lr": 1.8697946270717468e-05, "epoch": 1.7575757575757576, "percentage": 25.11, "elapsed_time": "0:27:09", "remaining_time": "1:20:59"}
|
| 59 |
+
{"current_steps": 59, "total_steps": 231, "loss": 0.7197, "lr": 1.8622063118472135e-05, "epoch": 1.7878787878787878, "percentage": 25.54, "elapsed_time": "0:27:35", "remaining_time": "1:20:27"}
|
| 60 |
+
{"current_steps": 60, "total_steps": 231, "loss": 0.7289, "lr": 1.8544194045464888e-05, "epoch": 1.8181818181818183, "percentage": 25.97, "elapsed_time": "0:28:03", "remaining_time": "1:19:56"}
|
| 61 |
+
{"current_steps": 61, "total_steps": 231, "loss": 0.7193, "lr": 1.8464356987288012e-05, "epoch": 1.8484848484848486, "percentage": 26.41, "elapsed_time": "0:28:29", "remaining_time": "1:19:25"}
|
| 62 |
+
{"current_steps": 62, "total_steps": 231, "loss": 0.7219, "lr": 1.8382570332820045e-05, "epoch": 1.878787878787879, "percentage": 26.84, "elapsed_time": "0:28:55", "remaining_time": "1:18:51"}
|
| 63 |
+
{"current_steps": 63, "total_steps": 231, "loss": 0.7396, "lr": 1.8298852919990254e-05, "epoch": 1.9090909090909092, "percentage": 27.27, "elapsed_time": "0:29:22", "remaining_time": "1:18:19"}
|
| 64 |
+
{"current_steps": 64, "total_steps": 231, "loss": 0.7745, "lr": 1.821322403143969e-05, "epoch": 1.9393939393939394, "percentage": 27.71, "elapsed_time": "0:29:49", "remaining_time": "1:17:49"}
|
| 65 |
+
{"current_steps": 65, "total_steps": 231, "loss": 0.7324, "lr": 1.812570339007983e-05, "epoch": 1.9696969696969697, "percentage": 28.14, "elapsed_time": "0:30:16", "remaining_time": "1:17:19"}
|
| 66 |
+
{"current_steps": 66, "total_steps": 231, "loss": 0.7409, "lr": 1.8036311154549783e-05, "epoch": 2.0, "percentage": 28.57, "elapsed_time": "0:30:42", "remaining_time": "1:16:45"}
|
| 67 |
+
{"current_steps": 67, "total_steps": 231, "loss": 0.7062, "lr": 1.7945067914573147e-05, "epoch": 2.0303030303030303, "percentage": 29.0, "elapsed_time": "0:32:29", "remaining_time": "1:19:30"}
|
| 68 |
+
{"current_steps": 68, "total_steps": 231, "loss": 0.6927, "lr": 1.7851994686215592e-05, "epoch": 2.0606060606060606, "percentage": 29.44, "elapsed_time": "0:32:53", "remaining_time": "1:18:50"}
|
| 69 |
+
{"current_steps": 69, "total_steps": 231, "loss": 0.6612, "lr": 1.77571129070442e-05, "epoch": 2.090909090909091, "percentage": 29.87, "elapsed_time": "0:33:18", "remaining_time": "1:18:12"}
|
| 70 |
+
{"current_steps": 70, "total_steps": 231, "loss": 0.6412, "lr": 1.766044443118978e-05, "epoch": 2.121212121212121, "percentage": 30.3, "elapsed_time": "0:33:46", "remaining_time": "1:17:40"}
|
| 71 |
+
{"current_steps": 71, "total_steps": 231, "loss": 0.7077, "lr": 1.7562011524313187e-05, "epoch": 2.1515151515151514, "percentage": 30.74, "elapsed_time": "0:34:12", "remaining_time": "1:17:06"}
|
| 72 |
+
{"current_steps": 72, "total_steps": 231, "loss": 0.6949, "lr": 1.7461836858476858e-05, "epoch": 2.1818181818181817, "percentage": 31.17, "elapsed_time": "0:34:38", "remaining_time": "1:16:29"}
|
| 73 |
+
{"current_steps": 73, "total_steps": 231, "loss": 0.6669, "lr": 1.7359943506922775e-05, "epoch": 2.212121212121212, "percentage": 31.6, "elapsed_time": "0:35:04", "remaining_time": "1:15:54"}
|
| 74 |
+
{"current_steps": 74, "total_steps": 231, "loss": 0.6681, "lr": 1.725635493875799e-05, "epoch": 2.242424242424242, "percentage": 32.03, "elapsed_time": "0:35:29", "remaining_time": "1:15:18"}
|
| 75 |
+
{"current_steps": 75, "total_steps": 231, "loss": 0.673, "lr": 1.7151095013548996e-05, "epoch": 2.2727272727272725, "percentage": 32.47, "elapsed_time": "0:35:55", "remaining_time": "1:14:44"}
|
| 76 |
+
{"current_steps": 76, "total_steps": 231, "loss": 0.6851, "lr": 1.7044187975826126e-05, "epoch": 2.303030303030303, "percentage": 32.9, "elapsed_time": "0:36:22", "remaining_time": "1:14:11"}
|
| 77 |
+
{"current_steps": 77, "total_steps": 231, "loss": 0.6649, "lr": 1.693565844949933e-05, "epoch": 2.3333333333333335, "percentage": 33.33, "elapsed_time": "0:36:49", "remaining_time": "1:13:39"}
|
| 78 |
+
{"current_steps": 78, "total_steps": 231, "loss": 0.634, "lr": 1.6825531432186545e-05, "epoch": 2.3636363636363638, "percentage": 33.77, "elapsed_time": "0:37:16", "remaining_time": "1:13:06"}
|
| 79 |
+
{"current_steps": 79, "total_steps": 231, "loss": 0.6878, "lr": 1.671383228945597e-05, "epoch": 2.393939393939394, "percentage": 34.2, "elapsed_time": "0:37:43", "remaining_time": "1:12:34"}
|
| 80 |
+
{"current_steps": 80, "total_steps": 231, "loss": 0.6794, "lr": 1.6600586748983642e-05, "epoch": 2.4242424242424243, "percentage": 34.63, "elapsed_time": "0:38:08", "remaining_time": "1:12:00"}
|
| 81 |
+
{"current_steps": 81, "total_steps": 231, "loss": 0.6718, "lr": 1.648582089462756e-05, "epoch": 2.4545454545454546, "percentage": 35.06, "elapsed_time": "0:38:35", "remaining_time": "1:11:27"}
|
| 82 |
+
{"current_steps": 82, "total_steps": 231, "loss": 0.6493, "lr": 1.6369561160419783e-05, "epoch": 2.484848484848485, "percentage": 35.5, "elapsed_time": "0:39:02", "remaining_time": "1:10:56"}
|
| 83 |
+
{"current_steps": 83, "total_steps": 231, "loss": 0.6824, "lr": 1.625183432447789e-05, "epoch": 2.515151515151515, "percentage": 35.93, "elapsed_time": "0:39:27", "remaining_time": "1:10:21"}
|
| 84 |
+
{"current_steps": 84, "total_steps": 231, "loss": 0.6479, "lr": 1.6132667502837164e-05, "epoch": 2.5454545454545454, "percentage": 36.36, "elapsed_time": "0:39:54", "remaining_time": "1:09:49"}
|
| 85 |
+
{"current_steps": 85, "total_steps": 231, "loss": 0.6697, "lr": 1.6012088143204953e-05, "epoch": 2.5757575757575757, "percentage": 36.8, "elapsed_time": "0:40:20", "remaining_time": "1:09:17"}
|
| 86 |
+
{"current_steps": 86, "total_steps": 231, "loss": 0.6665, "lr": 1.589012401863864e-05, "epoch": 2.606060606060606, "percentage": 37.23, "elapsed_time": "0:40:47", "remaining_time": "1:08:46"}
|
| 87 |
+
{"current_steps": 87, "total_steps": 231, "loss": 0.7038, "lr": 1.5766803221148676e-05, "epoch": 2.6363636363636362, "percentage": 37.66, "elapsed_time": "0:41:14", "remaining_time": "1:08:15"}
|
| 88 |
+
{"current_steps": 88, "total_steps": 231, "loss": 0.6859, "lr": 1.5642154155228124e-05, "epoch": 2.6666666666666665, "percentage": 38.1, "elapsed_time": "0:41:40", "remaining_time": "1:07:43"}
|
| 89 |
+
{"current_steps": 89, "total_steps": 231, "loss": 0.6807, "lr": 1.5516205531310272e-05, "epoch": 2.6969696969696972, "percentage": 38.53, "elapsed_time": "0:42:05", "remaining_time": "1:07:10"}
|
| 90 |
+
{"current_steps": 90, "total_steps": 231, "loss": 0.6751, "lr": 1.538898635915576e-05, "epoch": 2.7272727272727275, "percentage": 38.96, "elapsed_time": "0:42:32", "remaining_time": "1:06:39"}
|
| 91 |
+
{"current_steps": 91, "total_steps": 231, "loss": 0.6925, "lr": 1.526052594117071e-05, "epoch": 2.757575757575758, "percentage": 39.39, "elapsed_time": "0:42:59", "remaining_time": "1:06:08"}
|
| 92 |
+
{"current_steps": 92, "total_steps": 231, "loss": 0.6116, "lr": 1.513085386565758e-05, "epoch": 2.787878787878788, "percentage": 39.83, "elapsed_time": "0:43:25", "remaining_time": "1:05:36"}
|
| 93 |
+
{"current_steps": 93, "total_steps": 231, "loss": 0.6581, "lr": 1.5000000000000002e-05, "epoch": 2.8181818181818183, "percentage": 40.26, "elapsed_time": "0:43:52", "remaining_time": "1:05:06"}
|
| 94 |
+
{"current_steps": 94, "total_steps": 231, "loss": 0.6705, "lr": 1.4867994483783485e-05, "epoch": 2.8484848484848486, "percentage": 40.69, "elapsed_time": "0:44:19", "remaining_time": "1:04:36"}
|
| 95 |
+
{"current_steps": 95, "total_steps": 231, "loss": 0.6386, "lr": 1.4734867721853341e-05, "epoch": 2.878787878787879, "percentage": 41.13, "elapsed_time": "0:44:46", "remaining_time": "1:04:05"}
|
| 96 |
+
{"current_steps": 96, "total_steps": 231, "loss": 0.7049, "lr": 1.4600650377311523e-05, "epoch": 2.909090909090909, "percentage": 41.56, "elapsed_time": "0:45:13", "remaining_time": "1:03:35"}
|
| 97 |
+
{"current_steps": 97, "total_steps": 231, "loss": 0.6951, "lr": 1.4465373364454001e-05, "epoch": 2.9393939393939394, "percentage": 41.99, "elapsed_time": "0:45:40", "remaining_time": "1:03:05"}
|
| 98 |
+
{"current_steps": 98, "total_steps": 231, "loss": 0.6954, "lr": 1.4329067841650274e-05, "epoch": 2.9696969696969697, "percentage": 42.42, "elapsed_time": "0:46:06", "remaining_time": "1:02:34"}
|
| 99 |
+
{"current_steps": 99, "total_steps": 231, "loss": 0.6461, "lr": 1.4191765204166643e-05, "epoch": 3.0, "percentage": 42.86, "elapsed_time": "0:46:33", "remaining_time": "1:02:04"}
|
| 100 |
+
{"current_steps": 100, "total_steps": 231, "loss": 0.5918, "lr": 1.4053497076934948e-05, "epoch": 3.0303030303030303, "percentage": 43.29, "elapsed_time": "0:48:32", "remaining_time": "1:03:35"}
|
| 101 |
+
{"current_steps": 101, "total_steps": 231, "loss": 0.6034, "lr": 1.3914295307268396e-05, "epoch": 3.0606060606060606, "percentage": 43.72, "elapsed_time": "0:48:57", "remaining_time": "1:03:00"}
|
| 102 |
+
{"current_steps": 102, "total_steps": 231, "loss": 0.6231, "lr": 1.3774191957526144e-05, "epoch": 3.090909090909091, "percentage": 44.16, "elapsed_time": "0:49:24", "remaining_time": "1:02:28"}
|
| 103 |
+
{"current_steps": 103, "total_steps": 231, "loss": 0.5976, "lr": 1.3633219297728415e-05, "epoch": 3.121212121212121, "percentage": 44.59, "elapsed_time": "0:49:50", "remaining_time": "1:01:56"}
|
| 104 |
+
{"current_steps": 104, "total_steps": 231, "loss": 0.5539, "lr": 1.3491409798123687e-05, "epoch": 3.1515151515151514, "percentage": 45.02, "elapsed_time": "0:50:17", "remaining_time": "1:01:24"}
|
| 105 |
+
{"current_steps": 105, "total_steps": 231, "loss": 0.59, "lr": 1.3348796121709862e-05, "epoch": 3.1818181818181817, "percentage": 45.45, "elapsed_time": "0:50:44", "remaining_time": "1:00:52"}
|
| 106 |
+
{"current_steps": 106, "total_steps": 231, "loss": 0.556, "lr": 1.3205411116710973e-05, "epoch": 3.212121212121212, "percentage": 45.89, "elapsed_time": "0:51:10", "remaining_time": "1:00:21"}
|
| 107 |
+
{"current_steps": 107, "total_steps": 231, "loss": 0.6463, "lr": 1.3061287809011243e-05, "epoch": 3.242424242424242, "percentage": 46.32, "elapsed_time": "0:51:36", "remaining_time": "0:59:49"}
|
| 108 |
+
{"current_steps": 108, "total_steps": 231, "loss": 0.5826, "lr": 1.291645939454825e-05, "epoch": 3.2727272727272725, "percentage": 46.75, "elapsed_time": "0:52:04", "remaining_time": "0:59:18"}
|
| 109 |
+
{"current_steps": 109, "total_steps": 231, "loss": 0.6166, "lr": 1.277095923166689e-05, "epoch": 3.303030303030303, "percentage": 47.19, "elapsed_time": "0:52:31", "remaining_time": "0:58:47"}
|
| 110 |
+
{"current_steps": 110, "total_steps": 231, "loss": 0.5746, "lr": 1.2624820833435939e-05, "epoch": 3.3333333333333335, "percentage": 47.62, "elapsed_time": "0:52:58", "remaining_time": "0:58:16"}
|
| 111 |
+
{"current_steps": 111, "total_steps": 231, "loss": 0.6117, "lr": 1.2478077859929e-05, "epoch": 3.3636363636363638, "percentage": 48.05, "elapsed_time": "0:53:23", "remaining_time": "0:57:43"}
|
| 112 |
+
{"current_steps": 112, "total_steps": 231, "loss": 0.6295, "lr": 1.2330764110471567e-05, "epoch": 3.393939393939394, "percentage": 48.48, "elapsed_time": "0:53:50", "remaining_time": "0:57:12"}
|
| 113 |
+
{"current_steps": 113, "total_steps": 231, "loss": 0.6137, "lr": 1.2182913515856016e-05, "epoch": 3.4242424242424243, "percentage": 48.92, "elapsed_time": "0:54:17", "remaining_time": "0:56:41"}
|
| 114 |
+
{"current_steps": 114, "total_steps": 231, "loss": 0.6456, "lr": 1.2034560130526341e-05, "epoch": 3.4545454545454546, "percentage": 49.35, "elapsed_time": "0:54:44", "remaining_time": "0:56:11"}
|
| 115 |
+
{"current_steps": 115, "total_steps": 231, "loss": 0.5677, "lr": 1.1885738124734359e-05, "epoch": 3.484848484848485, "percentage": 49.78, "elapsed_time": "0:55:10", "remaining_time": "0:55:39"}
|
| 116 |
+
{"current_steps": 116, "total_steps": 231, "loss": 0.5601, "lr": 1.1736481776669307e-05, "epoch": 3.515151515151515, "percentage": 50.22, "elapsed_time": "0:55:36", "remaining_time": "0:55:07"}
|
| 117 |
+
{"current_steps": 117, "total_steps": 231, "loss": 0.6025, "lr": 1.1586825464562515e-05, "epoch": 3.5454545454545454, "percentage": 50.65, "elapsed_time": "0:56:02", "remaining_time": "0:54:36"}
|
| 118 |
+
{"current_steps": 118, "total_steps": 231, "loss": 0.5983, "lr": 1.1436803658769082e-05, "epoch": 3.5757575757575757, "percentage": 51.08, "elapsed_time": "0:56:29", "remaining_time": "0:54:05"}
|
| 119 |
+
{"current_steps": 119, "total_steps": 231, "loss": 0.5693, "lr": 1.1286450913828313e-05, "epoch": 3.606060606060606, "percentage": 51.52, "elapsed_time": "0:56:55", "remaining_time": "0:53:34"}
|
| 120 |
+
{"current_steps": 120, "total_steps": 231, "loss": 0.6084, "lr": 1.113580186050475e-05, "epoch": 3.6363636363636362, "percentage": 51.95, "elapsed_time": "0:57:22", "remaining_time": "0:53:04"}
|
| 121 |
+
{"current_steps": 121, "total_steps": 231, "loss": 0.6265, "lr": 1.0984891197811686e-05, "epoch": 3.6666666666666665, "percentage": 52.38, "elapsed_time": "0:57:49", "remaining_time": "0:52:33"}
|
| 122 |
+
{"current_steps": 122, "total_steps": 231, "loss": 0.598, "lr": 1.0833753685018935e-05, "epoch": 3.6969696969696972, "percentage": 52.81, "elapsed_time": "0:58:15", "remaining_time": "0:52:02"}
|
| 123 |
+
{"current_steps": 123, "total_steps": 231, "loss": 0.5897, "lr": 1.0682424133646712e-05, "epoch": 3.7272727272727275, "percentage": 53.25, "elapsed_time": "0:58:41", "remaining_time": "0:51:32"}
|
| 124 |
+
{"current_steps": 124, "total_steps": 231, "loss": 0.5897, "lr": 1.0530937399447496e-05, "epoch": 3.757575757575758, "percentage": 53.68, "elapsed_time": "0:59:09", "remaining_time": "0:51:02"}
|
| 125 |
+
{"current_steps": 125, "total_steps": 231, "loss": 0.5648, "lr": 1.0379328374377715e-05, "epoch": 3.787878787878788, "percentage": 54.11, "elapsed_time": "0:59:36", "remaining_time": "0:50:32"}
|
| 126 |
+
{"current_steps": 126, "total_steps": 231, "loss": 0.6158, "lr": 1.0227631978561057e-05, "epoch": 3.8181818181818183, "percentage": 54.55, "elapsed_time": "1:00:03", "remaining_time": "0:50:02"}
|
| 127 |
+
{"current_steps": 127, "total_steps": 231, "loss": 0.6222, "lr": 1.0075883152245334e-05, "epoch": 3.8484848484848486, "percentage": 54.98, "elapsed_time": "1:00:30", "remaining_time": "0:49:32"}
|
| 128 |
+
{"current_steps": 128, "total_steps": 231, "loss": 0.6131, "lr": 9.92411684775467e-06, "epoch": 3.878787878787879, "percentage": 55.41, "elapsed_time": "1:00:56", "remaining_time": "0:49:02"}
|
| 129 |
+
{"current_steps": 129, "total_steps": 231, "loss": 0.5865, "lr": 9.772368021438943e-06, "epoch": 3.909090909090909, "percentage": 55.84, "elapsed_time": "1:01:22", "remaining_time": "0:48:32"}
|
| 130 |
+
{"current_steps": 130, "total_steps": 231, "loss": 0.6016, "lr": 9.620671625622287e-06, "epoch": 3.9393939393939394, "percentage": 56.28, "elapsed_time": "1:01:49", "remaining_time": "0:48:02"}
|
| 131 |
+
{"current_steps": 131, "total_steps": 231, "loss": 0.6036, "lr": 9.469062600552509e-06, "epoch": 3.9696969696969697, "percentage": 56.71, "elapsed_time": "1:02:16", "remaining_time": "0:47:32"}
|
| 132 |
+
{"current_steps": 132, "total_steps": 231, "loss": 0.5724, "lr": 9.317575866353293e-06, "epoch": 4.0, "percentage": 57.14, "elapsed_time": "1:02:43", "remaining_time": "0:47:02"}
|
| 133 |
+
{"current_steps": 133, "total_steps": 231, "loss": 0.5335, "lr": 9.166246314981066e-06, "epoch": 4.03030303030303, "percentage": 57.58, "elapsed_time": "1:05:37", "remaining_time": "0:48:21"}
|
| 134 |
+
{"current_steps": 134, "total_steps": 231, "loss": 0.5397, "lr": 9.015108802188314e-06, "epoch": 4.0606060606060606, "percentage": 58.01, "elapsed_time": "1:06:03", "remaining_time": "0:47:49"}
|
| 135 |
+
{"current_steps": 135, "total_steps": 231, "loss": 0.4792, "lr": 8.86419813949525e-06, "epoch": 4.090909090909091, "percentage": 58.44, "elapsed_time": "1:06:30", "remaining_time": "0:47:17"}
|
| 136 |
+
{"current_steps": 136, "total_steps": 231, "loss": 0.5572, "lr": 8.71354908617169e-06, "epoch": 4.121212121212121, "percentage": 58.87, "elapsed_time": "1:06:56", "remaining_time": "0:46:45"}
|
| 137 |
+
{"current_steps": 137, "total_steps": 231, "loss": 0.5373, "lr": 8.56319634123092e-06, "epoch": 4.151515151515151, "percentage": 59.31, "elapsed_time": "1:07:22", "remaining_time": "0:46:13"}
|
| 138 |
+
{"current_steps": 138, "total_steps": 231, "loss": 0.5021, "lr": 8.413174535437486e-06, "epoch": 4.181818181818182, "percentage": 59.74, "elapsed_time": "1:07:49", "remaining_time": "0:45:42"}
|
| 139 |
+
{"current_steps": 139, "total_steps": 231, "loss": 0.5429, "lr": 8.263518223330698e-06, "epoch": 4.212121212121212, "percentage": 60.17, "elapsed_time": "1:08:16", "remaining_time": "0:45:11"}
|
| 140 |
+
{"current_steps": 140, "total_steps": 231, "loss": 0.5491, "lr": 8.114261875265643e-06, "epoch": 4.242424242424242, "percentage": 60.61, "elapsed_time": "1:08:42", "remaining_time": "0:44:39"}
|
| 141 |
+
{"current_steps": 141, "total_steps": 231, "loss": 0.5353, "lr": 7.965439869473664e-06, "epoch": 4.2727272727272725, "percentage": 61.04, "elapsed_time": "1:09:08", "remaining_time": "0:44:08"}
|
| 142 |
+
{"current_steps": 142, "total_steps": 231, "loss": 0.5108, "lr": 7.817086484143987e-06, "epoch": 4.303030303030303, "percentage": 61.47, "elapsed_time": "1:09:34", "remaining_time": "0:43:36"}
|
| 143 |
+
{"current_steps": 143, "total_steps": 231, "loss": 0.5259, "lr": 7.669235889528436e-06, "epoch": 4.333333333333333, "percentage": 61.9, "elapsed_time": "1:10:01", "remaining_time": "0:43:05"}
|
| 144 |
+
{"current_steps": 144, "total_steps": 231, "loss": 0.4858, "lr": 7.521922140071003e-06, "epoch": 4.363636363636363, "percentage": 62.34, "elapsed_time": "1:10:27", "remaining_time": "0:42:34"}
|
| 145 |
+
{"current_steps": 145, "total_steps": 231, "loss": 0.5416, "lr": 7.375179166564062e-06, "epoch": 4.393939393939394, "percentage": 62.77, "elapsed_time": "1:10:54", "remaining_time": "0:42:03"}
|
| 146 |
+
{"current_steps": 146, "total_steps": 231, "loss": 0.5123, "lr": 7.2290407683331154e-06, "epoch": 4.424242424242424, "percentage": 63.2, "elapsed_time": "1:11:21", "remaining_time": "0:41:32"}
|
| 147 |
+
{"current_steps": 147, "total_steps": 231, "loss": 0.5423, "lr": 7.0835406054517505e-06, "epoch": 4.454545454545454, "percentage": 63.64, "elapsed_time": "1:11:47", "remaining_time": "0:41:01"}
|
| 148 |
+
{"current_steps": 148, "total_steps": 231, "loss": 0.5193, "lr": 6.93871219098876e-06, "epoch": 4.484848484848484, "percentage": 64.07, "elapsed_time": "1:12:13", "remaining_time": "0:40:30"}
|
| 149 |
+
{"current_steps": 149, "total_steps": 231, "loss": 0.4995, "lr": 6.79458888328903e-06, "epoch": 4.515151515151516, "percentage": 64.5, "elapsed_time": "1:12:40", "remaining_time": "0:39:59"}
|
| 150 |
+
{"current_steps": 150, "total_steps": 231, "loss": 0.4876, "lr": 6.651203878290139e-06, "epoch": 4.545454545454545, "percentage": 64.94, "elapsed_time": "1:13:06", "remaining_time": "0:39:28"}
|
| 151 |
+
{"current_steps": 151, "total_steps": 231, "loss": 0.51, "lr": 6.508590201876317e-06, "epoch": 4.575757575757576, "percentage": 65.37, "elapsed_time": "1:13:33", "remaining_time": "0:38:58"}
|
| 152 |
+
{"current_steps": 152, "total_steps": 231, "loss": 0.5099, "lr": 6.366780702271589e-06, "epoch": 4.606060606060606, "percentage": 65.8, "elapsed_time": "1:14:00", "remaining_time": "0:38:27"}
|
| 153 |
+
{"current_steps": 153, "total_steps": 231, "loss": 0.5031, "lr": 6.225808042473857e-06, "epoch": 4.636363636363637, "percentage": 66.23, "elapsed_time": "1:14:26", "remaining_time": "0:37:57"}
|
| 154 |
+
{"current_steps": 154, "total_steps": 231, "loss": 0.5239, "lr": 6.085704692731609e-06, "epoch": 4.666666666666667, "percentage": 66.67, "elapsed_time": "1:14:53", "remaining_time": "0:37:26"}
|
| 155 |
+
{"current_steps": 155, "total_steps": 231, "loss": 0.55, "lr": 5.946502923065054e-06, "epoch": 4.696969696969697, "percentage": 67.1, "elapsed_time": "1:15:20", "remaining_time": "0:36:56"}
|
| 156 |
+
{"current_steps": 156, "total_steps": 231, "loss": 0.5705, "lr": 5.8082347958333625e-06, "epoch": 4.7272727272727275, "percentage": 67.53, "elapsed_time": "1:15:46", "remaining_time": "0:36:25"}
|
| 157 |
+
{"current_steps": 157, "total_steps": 231, "loss": 0.4858, "lr": 5.670932158349732e-06, "epoch": 4.757575757575758, "percentage": 67.97, "elapsed_time": "1:16:13", "remaining_time": "0:35:55"}
|
| 158 |
+
{"current_steps": 158, "total_steps": 231, "loss": 0.5129, "lr": 5.534626635546e-06, "epoch": 4.787878787878788, "percentage": 68.4, "elapsed_time": "1:16:39", "remaining_time": "0:35:24"}
|
| 159 |
+
{"current_steps": 159, "total_steps": 231, "loss": 0.5393, "lr": 5.399349622688479e-06, "epoch": 4.818181818181818, "percentage": 68.83, "elapsed_time": "1:17:05", "remaining_time": "0:34:54"}
|
| 160 |
+
{"current_steps": 160, "total_steps": 231, "loss": 0.5301, "lr": 5.2651322781466606e-06, "epoch": 4.848484848484849, "percentage": 69.26, "elapsed_time": "1:17:29", "remaining_time": "0:34:23"}
|
| 161 |
+
{"current_steps": 161, "total_steps": 231, "loss": 0.5365, "lr": 5.132005516216512e-06, "epoch": 4.878787878787879, "percentage": 69.7, "elapsed_time": "1:17:56", "remaining_time": "0:33:53"}
|
| 162 |
+
{"current_steps": 162, "total_steps": 231, "loss": 0.5436, "lr": 5.000000000000003e-06, "epoch": 4.909090909090909, "percentage": 70.13, "elapsed_time": "1:18:23", "remaining_time": "0:33:23"}
|
| 163 |
+
{"current_steps": 163, "total_steps": 231, "loss": 0.4996, "lr": 4.869146134342426e-06, "epoch": 4.9393939393939394, "percentage": 70.56, "elapsed_time": "1:18:51", "remaining_time": "0:32:53"}
|
| 164 |
+
{"current_steps": 164, "total_steps": 231, "loss": 0.4761, "lr": 4.739474058829288e-06, "epoch": 4.96969696969697, "percentage": 71.0, "elapsed_time": "1:19:17", "remaining_time": "0:32:23"}
|
| 165 |
+
{"current_steps": 165, "total_steps": 231, "loss": 0.5082, "lr": 4.611013640844245e-06, "epoch": 5.0, "percentage": 71.43, "elapsed_time": "1:19:44", "remaining_time": "0:31:53"}
|
| 166 |
+
{"current_steps": 166, "total_steps": 231, "loss": 0.4722, "lr": 4.483794468689728e-06, "epoch": 5.03030303030303, "percentage": 71.86, "elapsed_time": "1:21:17", "remaining_time": "0:31:49"}
|
| 167 |
+
{"current_steps": 167, "total_steps": 231, "loss": 0.5007, "lr": 4.357845844771881e-06, "epoch": 5.0606060606060606, "percentage": 72.29, "elapsed_time": "1:21:43", "remaining_time": "0:31:19"}
|
| 168 |
+
{"current_steps": 168, "total_steps": 231, "loss": 0.4563, "lr": 4.2331967788513295e-06, "epoch": 5.090909090909091, "percentage": 72.73, "elapsed_time": "1:22:10", "remaining_time": "0:30:48"}
|
| 169 |
+
{"current_steps": 169, "total_steps": 231, "loss": 0.4219, "lr": 4.109875981361363e-06, "epoch": 5.121212121212121, "percentage": 73.16, "elapsed_time": "1:22:36", "remaining_time": "0:30:18"}
|
| 170 |
+
{"current_steps": 170, "total_steps": 231, "loss": 0.4222, "lr": 3.987911856795047e-06, "epoch": 5.151515151515151, "percentage": 73.59, "elapsed_time": "1:23:02", "remaining_time": "0:29:47"}
|
| 171 |
+
{"current_steps": 171, "total_steps": 231, "loss": 0.4563, "lr": 3.867332497162836e-06, "epoch": 5.181818181818182, "percentage": 74.03, "elapsed_time": "1:23:29", "remaining_time": "0:29:17"}
|
| 172 |
+
{"current_steps": 172, "total_steps": 231, "loss": 0.473, "lr": 3.748165675522113e-06, "epoch": 5.212121212121212, "percentage": 74.46, "elapsed_time": "1:23:55", "remaining_time": "0:28:47"}
|
| 173 |
+
{"current_steps": 173, "total_steps": 231, "loss": 0.4906, "lr": 3.630438839580217e-06, "epoch": 5.242424242424242, "percentage": 74.89, "elapsed_time": "1:24:21", "remaining_time": "0:28:16"}
|
| 174 |
+
{"current_steps": 174, "total_steps": 231, "loss": 0.4917, "lr": 3.5141791053724405e-06, "epoch": 5.2727272727272725, "percentage": 75.32, "elapsed_time": "1:24:47", "remaining_time": "0:27:46"}
|
| 175 |
+
{"current_steps": 175, "total_steps": 231, "loss": 0.4569, "lr": 3.399413251016359e-06, "epoch": 5.303030303030303, "percentage": 75.76, "elapsed_time": "1:25:14", "remaining_time": "0:27:16"}
|
| 176 |
+
{"current_steps": 176, "total_steps": 231, "loss": 0.4635, "lr": 3.2861677105440335e-06, "epoch": 5.333333333333333, "percentage": 76.19, "elapsed_time": "1:25:40", "remaining_time": "0:26:46"}
|
| 177 |
+
{"current_steps": 177, "total_steps": 231, "loss": 0.4398, "lr": 3.174468567813461e-06, "epoch": 5.363636363636363, "percentage": 76.62, "elapsed_time": "1:26:07", "remaining_time": "0:26:16"}
|
| 178 |
+
{"current_steps": 178, "total_steps": 231, "loss": 0.4284, "lr": 3.0643415505006733e-06, "epoch": 5.393939393939394, "percentage": 77.06, "elapsed_time": "1:26:33", "remaining_time": "0:25:46"}
|
| 179 |
+
{"current_steps": 179, "total_steps": 231, "loss": 0.4225, "lr": 2.9558120241738786e-06, "epoch": 5.424242424242424, "percentage": 77.49, "elapsed_time": "1:27:00", "remaining_time": "0:25:16"}
|
| 180 |
+
{"current_steps": 180, "total_steps": 231, "loss": 0.4641, "lr": 2.8489049864510053e-06, "epoch": 5.454545454545454, "percentage": 77.92, "elapsed_time": "1:27:26", "remaining_time": "0:24:46"}
|
| 181 |
+
{"current_steps": 181, "total_steps": 231, "loss": 0.4357, "lr": 2.7436450612420098e-06, "epoch": 5.484848484848484, "percentage": 78.35, "elapsed_time": "1:27:53", "remaining_time": "0:24:16"}
|
| 182 |
+
{"current_steps": 182, "total_steps": 231, "loss": 0.4329, "lr": 2.640056493077231e-06, "epoch": 5.515151515151516, "percentage": 78.79, "elapsed_time": "1:28:19", "remaining_time": "0:23:46"}
|
| 183 |
+
{"current_steps": 183, "total_steps": 231, "loss": 0.4591, "lr": 2.5381631415231455e-06, "epoch": 5.545454545454545, "percentage": 79.22, "elapsed_time": "1:28:46", "remaining_time": "0:23:17"}
|
| 184 |
+
{"current_steps": 184, "total_steps": 231, "loss": 0.4422, "lr": 2.4379884756868167e-06, "epoch": 5.575757575757576, "percentage": 79.65, "elapsed_time": "1:29:13", "remaining_time": "0:22:47"}
|
| 185 |
+
{"current_steps": 185, "total_steps": 231, "loss": 0.5145, "lr": 2.339555568810221e-06, "epoch": 5.606060606060606, "percentage": 80.09, "elapsed_time": "1:29:40", "remaining_time": "0:22:17"}
|
| 186 |
+
{"current_steps": 186, "total_steps": 231, "loss": 0.4473, "lr": 2.2428870929558012e-06, "epoch": 5.636363636363637, "percentage": 80.52, "elapsed_time": "1:30:07", "remaining_time": "0:21:48"}
|
| 187 |
+
{"current_steps": 187, "total_steps": 231, "loss": 0.4549, "lr": 2.1480053137844115e-06, "epoch": 5.666666666666667, "percentage": 80.95, "elapsed_time": "1:30:34", "remaining_time": "0:21:18"}
|
| 188 |
+
{"current_steps": 188, "total_steps": 231, "loss": 0.5098, "lr": 2.054932085426856e-06, "epoch": 5.696969696969697, "percentage": 81.39, "elapsed_time": "1:30:57", "remaining_time": "0:20:48"}
|
| 189 |
+
{"current_steps": 189, "total_steps": 231, "loss": 0.4747, "lr": 1.963688845450218e-06, "epoch": 5.7272727272727275, "percentage": 81.82, "elapsed_time": "1:31:23", "remaining_time": "0:20:18"}
|
| 190 |
+
{"current_steps": 190, "total_steps": 231, "loss": 0.4705, "lr": 1.8742966099201699e-06, "epoch": 5.757575757575758, "percentage": 82.25, "elapsed_time": "1:31:49", "remaining_time": "0:19:48"}
|
| 191 |
+
{"current_steps": 191, "total_steps": 231, "loss": 0.4658, "lr": 1.7867759685603115e-06, "epoch": 5.787878787878788, "percentage": 82.68, "elapsed_time": "1:32:17", "remaining_time": "0:19:19"}
|
| 192 |
+
{"current_steps": 192, "total_steps": 231, "loss": 0.495, "lr": 1.7011470800097496e-06, "epoch": 5.818181818181818, "percentage": 83.12, "elapsed_time": "1:32:43", "remaining_time": "0:18:50"}
|
| 193 |
+
{"current_steps": 193, "total_steps": 231, "loss": 0.4912, "lr": 1.6174296671799571e-06, "epoch": 5.848484848484849, "percentage": 83.55, "elapsed_time": "1:33:09", "remaining_time": "0:18:20"}
|
| 194 |
+
{"current_steps": 194, "total_steps": 231, "loss": 0.4414, "lr": 1.5356430127119915e-06, "epoch": 5.878787878787879, "percentage": 83.98, "elapsed_time": "1:33:36", "remaining_time": "0:17:51"}
|
| 195 |
+
{"current_steps": 195, "total_steps": 231, "loss": 0.4428, "lr": 1.4558059545351144e-06, "epoch": 5.909090909090909, "percentage": 84.42, "elapsed_time": "1:34:02", "remaining_time": "0:17:21"}
|
| 196 |
+
{"current_steps": 196, "total_steps": 231, "loss": 0.4501, "lr": 1.3779368815278648e-06, "epoch": 5.9393939393939394, "percentage": 84.85, "elapsed_time": "1:34:29", "remaining_time": "0:16:52"}
|
| 197 |
+
{"current_steps": 197, "total_steps": 231, "loss": 0.4156, "lr": 1.302053729282533e-06, "epoch": 5.96969696969697, "percentage": 85.28, "elapsed_time": "1:34:56", "remaining_time": "0:16:23"}
|
| 198 |
+
{"current_steps": 198, "total_steps": 231, "loss": 0.4772, "lr": 1.2281739759740575e-06, "epoch": 6.0, "percentage": 85.71, "elapsed_time": "1:35:22", "remaining_time": "0:15:53"}
|
| 199 |
+
{"current_steps": 199, "total_steps": 231, "loss": 0.4291, "lr": 1.156314638334277e-06, "epoch": 6.03030303030303, "percentage": 86.15, "elapsed_time": "1:36:51", "remaining_time": "0:15:34"}
|
| 200 |
+
{"current_steps": 200, "total_steps": 231, "loss": 0.4452, "lr": 1.086492267732462e-06, "epoch": 6.0606060606060606, "percentage": 86.58, "elapsed_time": "1:37:18", "remaining_time": "0:15:04"}
|
| 201 |
+
{"current_steps": 201, "total_steps": 231, "loss": 0.4869, "lr": 1.01872294636304e-06, "epoch": 6.090909090909091, "percentage": 87.01, "elapsed_time": "1:37:44", "remaining_time": "0:14:35"}
|
| 202 |
+
{"current_steps": 202, "total_steps": 231, "loss": 0.4514, "lr": 9.530222835413739e-07, "epoch": 6.121212121212121, "percentage": 87.45, "elapsed_time": "1:38:11", "remaining_time": "0:14:05"}
|
| 203 |
+
{"current_steps": 203, "total_steps": 231, "loss": 0.4111, "lr": 8.894054121084839e-07, "epoch": 6.151515151515151, "percentage": 87.88, "elapsed_time": "1:38:37", "remaining_time": "0:13:36"}
|
| 204 |
+
{"current_steps": 204, "total_steps": 231, "loss": 0.3967, "lr": 8.278869849454718e-07, "epoch": 6.181818181818182, "percentage": 88.31, "elapsed_time": "1:39:03", "remaining_time": "0:13:06"}
|
| 205 |
+
{"current_steps": 205, "total_steps": 231, "loss": 0.4209, "lr": 7.684811715985429e-07, "epoch": 6.212121212121212, "percentage": 88.74, "elapsed_time": "1:39:29", "remaining_time": "0:12:37"}
|
| 206 |
+
{"current_steps": 206, "total_steps": 231, "loss": 0.4709, "lr": 7.1120165501533e-07, "epoch": 6.242424242424242, "percentage": 89.18, "elapsed_time": "1:39:57", "remaining_time": "0:12:07"}
|
| 207 |
+
{"current_steps": 207, "total_steps": 231, "loss": 0.4057, "lr": 6.560616283932897e-07, "epoch": 6.2727272727272725, "percentage": 89.61, "elapsed_time": "1:40:23", "remaining_time": "0:11:38"}
|
| 208 |
+
{"current_steps": 208, "total_steps": 231, "loss": 0.4025, "lr": 6.030737921409169e-07, "epoch": 6.303030303030303, "percentage": 90.04, "elapsed_time": "1:40:50", "remaining_time": "0:11:09"}
|
| 209 |
+
{"current_steps": 209, "total_steps": 231, "loss": 0.389, "lr": 5.522503509524591e-07, "epoch": 6.333333333333333, "percentage": 90.48, "elapsed_time": "1:41:17", "remaining_time": "0:10:39"}
|
| 210 |
+
{"current_steps": 210, "total_steps": 231, "loss": 0.4167, "lr": 5.036030109968082e-07, "epoch": 6.363636363636363, "percentage": 90.91, "elapsed_time": "1:41:43", "remaining_time": "0:10:10"}
|
| 211 |
+
{"current_steps": 211, "total_steps": 231, "loss": 0.4448, "lr": 4.5714297722121105e-07, "epoch": 6.393939393939394, "percentage": 91.34, "elapsed_time": "1:42:08", "remaining_time": "0:09:40"}
|
| 212 |
+
{"current_steps": 212, "total_steps": 231, "loss": 0.4279, "lr": 4.128809507704445e-07, "epoch": 6.424242424242424, "percentage": 91.77, "elapsed_time": "1:42:34", "remaining_time": "0:09:11"}
|
| 213 |
+
{"current_steps": 213, "total_steps": 231, "loss": 0.4333, "lr": 3.708271265220087e-07, "epoch": 6.454545454545454, "percentage": 92.21, "elapsed_time": "1:43:00", "remaining_time": "0:08:42"}
|
| 214 |
+
{"current_steps": 214, "total_steps": 231, "loss": 0.4435, "lr": 3.309911907379393e-07, "epoch": 6.484848484848484, "percentage": 92.64, "elapsed_time": "1:43:27", "remaining_time": "0:08:13"}
|
| 215 |
+
{"current_steps": 215, "total_steps": 231, "loss": 0.4058, "lr": 2.9338231883378365e-07, "epoch": 6.515151515151516, "percentage": 93.07, "elapsed_time": "1:43:52", "remaining_time": "0:07:43"}
|
| 216 |
+
{"current_steps": 216, "total_steps": 231, "loss": 0.4212, "lr": 2.5800917326521013e-07, "epoch": 6.545454545454545, "percentage": 93.51, "elapsed_time": "1:44:19", "remaining_time": "0:07:14"}
|
| 217 |
+
{"current_steps": 217, "total_steps": 231, "loss": 0.433, "lr": 2.248799015327907e-07, "epoch": 6.575757575757576, "percentage": 93.94, "elapsed_time": "1:44:45", "remaining_time": "0:06:45"}
|
| 218 |
+
{"current_steps": 218, "total_steps": 231, "loss": 0.4114, "lr": 1.9400213430538773e-07, "epoch": 6.606060606060606, "percentage": 94.37, "elapsed_time": "1:45:11", "remaining_time": "0:06:16"}
|
| 219 |
+
{"current_steps": 219, "total_steps": 231, "loss": 0.4208, "lr": 1.6538298366257975e-07, "epoch": 6.636363636363637, "percentage": 94.81, "elapsed_time": "1:45:37", "remaining_time": "0:05:47"}
|
| 220 |
+
{"current_steps": 220, "total_steps": 231, "loss": 0.4377, "lr": 1.3902904145653094e-07, "epoch": 6.666666666666667, "percentage": 95.24, "elapsed_time": "1:46:04", "remaining_time": "0:05:18"}
|
| 221 |
+
{"current_steps": 221, "total_steps": 231, "loss": 0.4335, "lr": 1.1494637779369766e-07, "epoch": 6.696969696969697, "percentage": 95.67, "elapsed_time": "1:46:31", "remaining_time": "0:04:49"}
|
| 222 |
+
{"current_steps": 222, "total_steps": 231, "loss": 0.429, "lr": 9.314053963669245e-08, "epoch": 6.7272727272727275, "percentage": 96.1, "elapsed_time": "1:46:57", "remaining_time": "0:04:20"}
|
| 223 |
+
{"current_steps": 223, "total_steps": 231, "loss": 0.4489, "lr": 7.361654952665608e-08, "epoch": 6.757575757575758, "percentage": 96.54, "elapsed_time": "1:47:25", "remaining_time": "0:03:51"}
|
| 224 |
+
{"current_steps": 224, "total_steps": 231, "loss": 0.4455, "lr": 5.637890442641403e-08, "epoch": 6.787878787878788, "percentage": 96.97, "elapsed_time": "1:47:51", "remaining_time": "0:03:22"}
|
| 225 |
+
{"current_steps": 225, "total_steps": 231, "loss": 0.4448, "lr": 4.143157468468717e-08, "epoch": 6.818181818181818, "percentage": 97.4, "elapsed_time": "1:48:17", "remaining_time": "0:02:53"}
|
| 226 |
+
{"current_steps": 226, "total_steps": 231, "loss": 0.4125, "lr": 2.8778003121607834e-08, "epoch": 6.848484848484849, "percentage": 97.84, "elapsed_time": "1:48:44", "remaining_time": "0:02:24"}
|
| 227 |
+
{"current_steps": 227, "total_steps": 231, "loss": 0.4053, "lr": 1.8421104235727406e-08, "epoch": 6.878787878787879, "percentage": 98.27, "elapsed_time": "1:49:10", "remaining_time": "0:01:55"}
|
| 228 |
+
{"current_steps": 228, "total_steps": 231, "loss": 0.449, "lr": 1.0363263532724433e-08, "epoch": 6.909090909090909, "percentage": 98.7, "elapsed_time": "1:49:36", "remaining_time": "0:01:26"}
|
| 229 |
+
{"current_steps": 229, "total_steps": 231, "loss": 0.4298, "lr": 4.606336975948589e-09, "epoch": 6.9393939393939394, "percentage": 99.13, "elapsed_time": "1:50:03", "remaining_time": "0:00:57"}
|
| 230 |
+
{"current_steps": 230, "total_steps": 231, "loss": 0.4316, "lr": 1.1516505589381777e-09, "epoch": 6.96969696969697, "percentage": 99.57, "elapsed_time": "1:50:30", "remaining_time": "0:00:28"}
|
| 231 |
+
{"current_steps": 231, "total_steps": 231, "loss": 0.443, "lr": 0.0, "epoch": 7.0, "percentage": 100.0, "elapsed_time": "1:50:55", "remaining_time": "0:00:00"}
|
| 232 |
+
{"current_steps": 231, "total_steps": 231, "epoch": 7.0, "percentage": 100.0, "elapsed_time": "1:52:56", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1659 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 7.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 231,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.030303030303030304,
|
| 13 |
+
"grad_norm": 0.45404192269934357,
|
| 14 |
+
"learning_rate": 8.333333333333333e-07,
|
| 15 |
+
"loss": 0.8175,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06060606060606061,
|
| 20 |
+
"grad_norm": 0.4917731617433597,
|
| 21 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 22 |
+
"loss": 0.8089,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09090909090909091,
|
| 27 |
+
"grad_norm": 0.43539133801235924,
|
| 28 |
+
"learning_rate": 2.5e-06,
|
| 29 |
+
"loss": 0.7975,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12121212121212122,
|
| 34 |
+
"grad_norm": 0.4519256892966392,
|
| 35 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 36 |
+
"loss": 0.8046,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.15151515151515152,
|
| 41 |
+
"grad_norm": 0.28720192401944866,
|
| 42 |
+
"learning_rate": 4.166666666666667e-06,
|
| 43 |
+
"loss": 0.8215,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.18181818181818182,
|
| 48 |
+
"grad_norm": 0.3677456465780556,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.7906,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.21212121212121213,
|
| 55 |
+
"grad_norm": 0.9194352778005709,
|
| 56 |
+
"learning_rate": 5.833333333333334e-06,
|
| 57 |
+
"loss": 0.793,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.24242424242424243,
|
| 62 |
+
"grad_norm": 0.7156412843519948,
|
| 63 |
+
"learning_rate": 6.666666666666667e-06,
|
| 64 |
+
"loss": 0.8245,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2727272727272727,
|
| 69 |
+
"grad_norm": 0.5089150053764867,
|
| 70 |
+
"learning_rate": 7.500000000000001e-06,
|
| 71 |
+
"loss": 0.7622,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.30303030303030304,
|
| 76 |
+
"grad_norm": 0.3780110166718658,
|
| 77 |
+
"learning_rate": 8.333333333333334e-06,
|
| 78 |
+
"loss": 0.747,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3333333333333333,
|
| 83 |
+
"grad_norm": 0.5222565876804458,
|
| 84 |
+
"learning_rate": 9.166666666666666e-06,
|
| 85 |
+
"loss": 0.7662,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.36363636363636365,
|
| 90 |
+
"grad_norm": 0.6222553686265413,
|
| 91 |
+
"learning_rate": 1e-05,
|
| 92 |
+
"loss": 0.7814,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3939393939393939,
|
| 97 |
+
"grad_norm": 0.5185673069907736,
|
| 98 |
+
"learning_rate": 1.0833333333333334e-05,
|
| 99 |
+
"loss": 0.7766,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.42424242424242425,
|
| 104 |
+
"grad_norm": 0.3854806334293932,
|
| 105 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 106 |
+
"loss": 0.8209,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.45454545454545453,
|
| 111 |
+
"grad_norm": 0.4663667588511311,
|
| 112 |
+
"learning_rate": 1.25e-05,
|
| 113 |
+
"loss": 0.7498,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.48484848484848486,
|
| 118 |
+
"grad_norm": 0.49386497838516236,
|
| 119 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 120 |
+
"loss": 0.7466,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.5151515151515151,
|
| 125 |
+
"grad_norm": 0.456157458159694,
|
| 126 |
+
"learning_rate": 1.416666666666667e-05,
|
| 127 |
+
"loss": 0.7514,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5454545454545454,
|
| 132 |
+
"grad_norm": 0.391640681561914,
|
| 133 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 134 |
+
"loss": 0.7879,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.5757575757575758,
|
| 139 |
+
"grad_norm": 0.4601977317335622,
|
| 140 |
+
"learning_rate": 1.5833333333333333e-05,
|
| 141 |
+
"loss": 0.804,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6060606060606061,
|
| 146 |
+
"grad_norm": 0.4848501100787871,
|
| 147 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 148 |
+
"loss": 0.7816,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6363636363636364,
|
| 153 |
+
"grad_norm": 0.41383228738964295,
|
| 154 |
+
"learning_rate": 1.7500000000000002e-05,
|
| 155 |
+
"loss": 0.7771,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6666666666666666,
|
| 160 |
+
"grad_norm": 0.540316477528811,
|
| 161 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 162 |
+
"loss": 0.8016,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.696969696969697,
|
| 167 |
+
"grad_norm": 0.40379514416188667,
|
| 168 |
+
"learning_rate": 1.916666666666667e-05,
|
| 169 |
+
"loss": 0.8217,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7272727272727273,
|
| 174 |
+
"grad_norm": 0.4756570316376291,
|
| 175 |
+
"learning_rate": 2e-05,
|
| 176 |
+
"loss": 0.7633,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.7575757575757576,
|
| 181 |
+
"grad_norm": 0.41399508025723236,
|
| 182 |
+
"learning_rate": 1.999884834944106e-05,
|
| 183 |
+
"loss": 0.7889,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.7878787878787878,
|
| 188 |
+
"grad_norm": 0.4457872415888005,
|
| 189 |
+
"learning_rate": 1.9995393663024054e-05,
|
| 190 |
+
"loss": 0.7973,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8181818181818182,
|
| 195 |
+
"grad_norm": 0.3956381370526351,
|
| 196 |
+
"learning_rate": 1.9989636736467278e-05,
|
| 197 |
+
"loss": 0.7742,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.8484848484848485,
|
| 202 |
+
"grad_norm": 0.4455994153429883,
|
| 203 |
+
"learning_rate": 1.9981578895764272e-05,
|
| 204 |
+
"loss": 0.7885,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8787878787878788,
|
| 209 |
+
"grad_norm": 0.5001691581205011,
|
| 210 |
+
"learning_rate": 1.9971221996878395e-05,
|
| 211 |
+
"loss": 0.773,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.9090909090909091,
|
| 216 |
+
"grad_norm": 0.3716715232168673,
|
| 217 |
+
"learning_rate": 1.9958568425315316e-05,
|
| 218 |
+
"loss": 0.7916,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.9393939393939394,
|
| 223 |
+
"grad_norm": 0.42090023133566995,
|
| 224 |
+
"learning_rate": 1.9943621095573588e-05,
|
| 225 |
+
"loss": 0.8188,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.9696969696969697,
|
| 230 |
+
"grad_norm": 0.4234847011956473,
|
| 231 |
+
"learning_rate": 1.9926383450473344e-05,
|
| 232 |
+
"loss": 0.7724,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.0,
|
| 237 |
+
"grad_norm": 0.33502228724679345,
|
| 238 |
+
"learning_rate": 1.9906859460363307e-05,
|
| 239 |
+
"loss": 0.7806,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.0303030303030303,
|
| 244 |
+
"grad_norm": 0.4751502077280668,
|
| 245 |
+
"learning_rate": 1.9885053622206305e-05,
|
| 246 |
+
"loss": 0.7569,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.0606060606060606,
|
| 251 |
+
"grad_norm": 0.3945255799951885,
|
| 252 |
+
"learning_rate": 1.986097095854347e-05,
|
| 253 |
+
"loss": 0.7723,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.0909090909090908,
|
| 258 |
+
"grad_norm": 0.5000631707654161,
|
| 259 |
+
"learning_rate": 1.9834617016337424e-05,
|
| 260 |
+
"loss": 0.7419,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.121212121212121,
|
| 265 |
+
"grad_norm": 0.4299367812148087,
|
| 266 |
+
"learning_rate": 1.9805997865694616e-05,
|
| 267 |
+
"loss": 0.7838,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.1515151515151516,
|
| 272 |
+
"grad_norm": 0.48123262096644726,
|
| 273 |
+
"learning_rate": 1.9775120098467212e-05,
|
| 274 |
+
"loss": 0.732,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.1818181818181819,
|
| 279 |
+
"grad_norm": 0.4322275750955115,
|
| 280 |
+
"learning_rate": 1.9741990826734793e-05,
|
| 281 |
+
"loss": 0.7479,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.2121212121212122,
|
| 286 |
+
"grad_norm": 0.4264785762340682,
|
| 287 |
+
"learning_rate": 1.970661768116622e-05,
|
| 288 |
+
"loss": 0.7416,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.2424242424242424,
|
| 293 |
+
"grad_norm": 0.42755114582110104,
|
| 294 |
+
"learning_rate": 1.9669008809262064e-05,
|
| 295 |
+
"loss": 0.7445,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.2727272727272727,
|
| 300 |
+
"grad_norm": 0.4647888549497104,
|
| 301 |
+
"learning_rate": 1.9629172873477995e-05,
|
| 302 |
+
"loss": 0.716,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.303030303030303,
|
| 307 |
+
"grad_norm": 0.5548994096636525,
|
| 308 |
+
"learning_rate": 1.9587119049229558e-05,
|
| 309 |
+
"loss": 0.7794,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.3333333333333333,
|
| 314 |
+
"grad_norm": 0.6512138493815964,
|
| 315 |
+
"learning_rate": 1.954285702277879e-05,
|
| 316 |
+
"loss": 0.7426,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.3636363636363638,
|
| 321 |
+
"grad_norm": 0.6599233740244347,
|
| 322 |
+
"learning_rate": 1.9496396989003195e-05,
|
| 323 |
+
"loss": 0.7072,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.393939393939394,
|
| 328 |
+
"grad_norm": 0.4918413839868032,
|
| 329 |
+
"learning_rate": 1.944774964904754e-05,
|
| 330 |
+
"loss": 0.7122,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.4242424242424243,
|
| 335 |
+
"grad_norm": 0.46266316435390575,
|
| 336 |
+
"learning_rate": 1.9396926207859085e-05,
|
| 337 |
+
"loss": 0.7553,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.4545454545454546,
|
| 342 |
+
"grad_norm": 0.5719611759228369,
|
| 343 |
+
"learning_rate": 1.9343938371606714e-05,
|
| 344 |
+
"loss": 0.7323,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.4848484848484849,
|
| 349 |
+
"grad_norm": 0.4650467098543586,
|
| 350 |
+
"learning_rate": 1.9288798344984673e-05,
|
| 351 |
+
"loss": 0.719,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.5151515151515151,
|
| 356 |
+
"grad_norm": 0.47262576040525817,
|
| 357 |
+
"learning_rate": 1.9231518828401458e-05,
|
| 358 |
+
"loss": 0.6852,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.5454545454545454,
|
| 363 |
+
"grad_norm": 0.4139673970067043,
|
| 364 |
+
"learning_rate": 1.917211301505453e-05,
|
| 365 |
+
"loss": 0.7347,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.5757575757575757,
|
| 370 |
+
"grad_norm": 0.3749062072660008,
|
| 371 |
+
"learning_rate": 1.911059458789152e-05,
|
| 372 |
+
"loss": 0.7037,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.606060606060606,
|
| 377 |
+
"grad_norm": 0.4900872301837013,
|
| 378 |
+
"learning_rate": 1.9046977716458627e-05,
|
| 379 |
+
"loss": 0.7463,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.6363636363636362,
|
| 384 |
+
"grad_norm": 0.4304472787186808,
|
| 385 |
+
"learning_rate": 1.8981277053636963e-05,
|
| 386 |
+
"loss": 0.7404,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.6666666666666665,
|
| 391 |
+
"grad_norm": 0.41298688400235295,
|
| 392 |
+
"learning_rate": 1.891350773226754e-05,
|
| 393 |
+
"loss": 0.7248,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.696969696969697,
|
| 398 |
+
"grad_norm": 0.4114916666439847,
|
| 399 |
+
"learning_rate": 1.8843685361665724e-05,
|
| 400 |
+
"loss": 0.7691,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.7272727272727273,
|
| 405 |
+
"grad_norm": 0.4479321189387342,
|
| 406 |
+
"learning_rate": 1.8771826024025944e-05,
|
| 407 |
+
"loss": 0.6955,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.7575757575757576,
|
| 412 |
+
"grad_norm": 0.39505808462042286,
|
| 413 |
+
"learning_rate": 1.8697946270717468e-05,
|
| 414 |
+
"loss": 0.7683,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.7878787878787878,
|
| 419 |
+
"grad_norm": 0.4149877700202695,
|
| 420 |
+
"learning_rate": 1.8622063118472135e-05,
|
| 421 |
+
"loss": 0.7197,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.8181818181818183,
|
| 426 |
+
"grad_norm": 0.3699320087286979,
|
| 427 |
+
"learning_rate": 1.8544194045464888e-05,
|
| 428 |
+
"loss": 0.7289,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.8484848484848486,
|
| 433 |
+
"grad_norm": 0.41486600284521025,
|
| 434 |
+
"learning_rate": 1.8464356987288012e-05,
|
| 435 |
+
"loss": 0.7193,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.878787878787879,
|
| 440 |
+
"grad_norm": 0.3567474690754212,
|
| 441 |
+
"learning_rate": 1.8382570332820045e-05,
|
| 442 |
+
"loss": 0.7219,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.9090909090909092,
|
| 447 |
+
"grad_norm": 0.40722062536298453,
|
| 448 |
+
"learning_rate": 1.8298852919990254e-05,
|
| 449 |
+
"loss": 0.7396,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.9393939393939394,
|
| 454 |
+
"grad_norm": 0.4010891948969097,
|
| 455 |
+
"learning_rate": 1.821322403143969e-05,
|
| 456 |
+
"loss": 0.7745,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.9696969696969697,
|
| 461 |
+
"grad_norm": 0.33429885493126726,
|
| 462 |
+
"learning_rate": 1.812570339007983e-05,
|
| 463 |
+
"loss": 0.7324,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.0,
|
| 468 |
+
"grad_norm": 0.39491205167588617,
|
| 469 |
+
"learning_rate": 1.8036311154549783e-05,
|
| 470 |
+
"loss": 0.7409,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.0303030303030303,
|
| 475 |
+
"grad_norm": 0.484969972603566,
|
| 476 |
+
"learning_rate": 1.7945067914573147e-05,
|
| 477 |
+
"loss": 0.7062,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.0606060606060606,
|
| 482 |
+
"grad_norm": 0.4863336277140621,
|
| 483 |
+
"learning_rate": 1.7851994686215592e-05,
|
| 484 |
+
"loss": 0.6927,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.090909090909091,
|
| 489 |
+
"grad_norm": 0.5096357683183218,
|
| 490 |
+
"learning_rate": 1.77571129070442e-05,
|
| 491 |
+
"loss": 0.6612,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.121212121212121,
|
| 496 |
+
"grad_norm": 0.48322952651428286,
|
| 497 |
+
"learning_rate": 1.766044443118978e-05,
|
| 498 |
+
"loss": 0.6412,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.1515151515151514,
|
| 503 |
+
"grad_norm": 0.4221595004501216,
|
| 504 |
+
"learning_rate": 1.7562011524313187e-05,
|
| 505 |
+
"loss": 0.7077,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.1818181818181817,
|
| 510 |
+
"grad_norm": 0.43611020839153114,
|
| 511 |
+
"learning_rate": 1.7461836858476858e-05,
|
| 512 |
+
"loss": 0.6949,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.212121212121212,
|
| 517 |
+
"grad_norm": 0.45578329588946437,
|
| 518 |
+
"learning_rate": 1.7359943506922775e-05,
|
| 519 |
+
"loss": 0.6669,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.242424242424242,
|
| 524 |
+
"grad_norm": 0.45417147247230943,
|
| 525 |
+
"learning_rate": 1.725635493875799e-05,
|
| 526 |
+
"loss": 0.6681,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.2727272727272725,
|
| 531 |
+
"grad_norm": 0.4160955768518612,
|
| 532 |
+
"learning_rate": 1.7151095013548996e-05,
|
| 533 |
+
"loss": 0.673,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.303030303030303,
|
| 538 |
+
"grad_norm": 0.4276838043195557,
|
| 539 |
+
"learning_rate": 1.7044187975826126e-05,
|
| 540 |
+
"loss": 0.6851,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.3333333333333335,
|
| 545 |
+
"grad_norm": 0.3928420657759498,
|
| 546 |
+
"learning_rate": 1.693565844949933e-05,
|
| 547 |
+
"loss": 0.6649,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.3636363636363638,
|
| 552 |
+
"grad_norm": 0.399555483034014,
|
| 553 |
+
"learning_rate": 1.6825531432186545e-05,
|
| 554 |
+
"loss": 0.634,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.393939393939394,
|
| 559 |
+
"grad_norm": 0.426521795086231,
|
| 560 |
+
"learning_rate": 1.671383228945597e-05,
|
| 561 |
+
"loss": 0.6878,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.4242424242424243,
|
| 566 |
+
"grad_norm": 0.36158253835514503,
|
| 567 |
+
"learning_rate": 1.6600586748983642e-05,
|
| 568 |
+
"loss": 0.6794,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.4545454545454546,
|
| 573 |
+
"grad_norm": 0.39932078739571836,
|
| 574 |
+
"learning_rate": 1.648582089462756e-05,
|
| 575 |
+
"loss": 0.6718,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.484848484848485,
|
| 580 |
+
"grad_norm": 0.41834253839933744,
|
| 581 |
+
"learning_rate": 1.6369561160419783e-05,
|
| 582 |
+
"loss": 0.6493,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.515151515151515,
|
| 587 |
+
"grad_norm": 0.3642773746555324,
|
| 588 |
+
"learning_rate": 1.625183432447789e-05,
|
| 589 |
+
"loss": 0.6824,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.5454545454545454,
|
| 594 |
+
"grad_norm": 0.3801539406045018,
|
| 595 |
+
"learning_rate": 1.6132667502837164e-05,
|
| 596 |
+
"loss": 0.6479,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.5757575757575757,
|
| 601 |
+
"grad_norm": 0.36062164140177216,
|
| 602 |
+
"learning_rate": 1.6012088143204953e-05,
|
| 603 |
+
"loss": 0.6697,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.606060606060606,
|
| 608 |
+
"grad_norm": 0.3609319591166014,
|
| 609 |
+
"learning_rate": 1.589012401863864e-05,
|
| 610 |
+
"loss": 0.6665,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.6363636363636362,
|
| 615 |
+
"grad_norm": 0.3557810864627686,
|
| 616 |
+
"learning_rate": 1.5766803221148676e-05,
|
| 617 |
+
"loss": 0.7038,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.6666666666666665,
|
| 622 |
+
"grad_norm": 0.32571574930810243,
|
| 623 |
+
"learning_rate": 1.5642154155228124e-05,
|
| 624 |
+
"loss": 0.6859,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.6969696969696972,
|
| 629 |
+
"grad_norm": 0.35740454414375333,
|
| 630 |
+
"learning_rate": 1.5516205531310272e-05,
|
| 631 |
+
"loss": 0.6807,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.7272727272727275,
|
| 636 |
+
"grad_norm": 0.353293086570693,
|
| 637 |
+
"learning_rate": 1.538898635915576e-05,
|
| 638 |
+
"loss": 0.6751,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.757575757575758,
|
| 643 |
+
"grad_norm": 0.3635232148430636,
|
| 644 |
+
"learning_rate": 1.526052594117071e-05,
|
| 645 |
+
"loss": 0.6925,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.787878787878788,
|
| 650 |
+
"grad_norm": 0.32947551714233064,
|
| 651 |
+
"learning_rate": 1.513085386565758e-05,
|
| 652 |
+
"loss": 0.6116,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.8181818181818183,
|
| 657 |
+
"grad_norm": 0.3948262094416439,
|
| 658 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 659 |
+
"loss": 0.6581,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.8484848484848486,
|
| 664 |
+
"grad_norm": 0.31363922102118225,
|
| 665 |
+
"learning_rate": 1.4867994483783485e-05,
|
| 666 |
+
"loss": 0.6705,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 2.878787878787879,
|
| 671 |
+
"grad_norm": 0.35995682431320913,
|
| 672 |
+
"learning_rate": 1.4734867721853341e-05,
|
| 673 |
+
"loss": 0.6386,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.909090909090909,
|
| 678 |
+
"grad_norm": 0.34315747409978997,
|
| 679 |
+
"learning_rate": 1.4600650377311523e-05,
|
| 680 |
+
"loss": 0.7049,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.9393939393939394,
|
| 685 |
+
"grad_norm": 0.3102359902459931,
|
| 686 |
+
"learning_rate": 1.4465373364454001e-05,
|
| 687 |
+
"loss": 0.6951,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 2.9696969696969697,
|
| 692 |
+
"grad_norm": 0.3313369384920703,
|
| 693 |
+
"learning_rate": 1.4329067841650274e-05,
|
| 694 |
+
"loss": 0.6954,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 3.0,
|
| 699 |
+
"grad_norm": 0.3289930645921954,
|
| 700 |
+
"learning_rate": 1.4191765204166643e-05,
|
| 701 |
+
"loss": 0.6461,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 3.0303030303030303,
|
| 706 |
+
"grad_norm": 0.554418451579518,
|
| 707 |
+
"learning_rate": 1.4053497076934948e-05,
|
| 708 |
+
"loss": 0.5918,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 3.0606060606060606,
|
| 713 |
+
"grad_norm": 0.48985519582710435,
|
| 714 |
+
"learning_rate": 1.3914295307268396e-05,
|
| 715 |
+
"loss": 0.6034,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.090909090909091,
|
| 720 |
+
"grad_norm": 0.588704246980213,
|
| 721 |
+
"learning_rate": 1.3774191957526144e-05,
|
| 722 |
+
"loss": 0.6231,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 3.121212121212121,
|
| 727 |
+
"grad_norm": 0.5417698851668765,
|
| 728 |
+
"learning_rate": 1.3633219297728415e-05,
|
| 729 |
+
"loss": 0.5976,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 3.1515151515151514,
|
| 734 |
+
"grad_norm": 0.48683148314426355,
|
| 735 |
+
"learning_rate": 1.3491409798123687e-05,
|
| 736 |
+
"loss": 0.5539,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 3.1818181818181817,
|
| 741 |
+
"grad_norm": 0.4404191388960243,
|
| 742 |
+
"learning_rate": 1.3348796121709862e-05,
|
| 743 |
+
"loss": 0.59,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 3.212121212121212,
|
| 748 |
+
"grad_norm": 0.6044644583011649,
|
| 749 |
+
"learning_rate": 1.3205411116710973e-05,
|
| 750 |
+
"loss": 0.556,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 3.242424242424242,
|
| 755 |
+
"grad_norm": 0.4187532571010145,
|
| 756 |
+
"learning_rate": 1.3061287809011243e-05,
|
| 757 |
+
"loss": 0.6463,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.2727272727272725,
|
| 762 |
+
"grad_norm": 0.5029972310900598,
|
| 763 |
+
"learning_rate": 1.291645939454825e-05,
|
| 764 |
+
"loss": 0.5826,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 3.303030303030303,
|
| 769 |
+
"grad_norm": 0.41282532864997246,
|
| 770 |
+
"learning_rate": 1.277095923166689e-05,
|
| 771 |
+
"loss": 0.6166,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 3.3333333333333335,
|
| 776 |
+
"grad_norm": 0.47490843385272996,
|
| 777 |
+
"learning_rate": 1.2624820833435939e-05,
|
| 778 |
+
"loss": 0.5746,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 3.3636363636363638,
|
| 783 |
+
"grad_norm": 0.440401851756132,
|
| 784 |
+
"learning_rate": 1.2478077859929e-05,
|
| 785 |
+
"loss": 0.6117,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 3.393939393939394,
|
| 790 |
+
"grad_norm": 0.3967519472519431,
|
| 791 |
+
"learning_rate": 1.2330764110471567e-05,
|
| 792 |
+
"loss": 0.6295,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 3.4242424242424243,
|
| 797 |
+
"grad_norm": 0.44320916182805037,
|
| 798 |
+
"learning_rate": 1.2182913515856016e-05,
|
| 799 |
+
"loss": 0.6137,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 3.4545454545454546,
|
| 804 |
+
"grad_norm": 0.3794432860970576,
|
| 805 |
+
"learning_rate": 1.2034560130526341e-05,
|
| 806 |
+
"loss": 0.6456,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 3.484848484848485,
|
| 811 |
+
"grad_norm": 0.3715910139952054,
|
| 812 |
+
"learning_rate": 1.1885738124734359e-05,
|
| 813 |
+
"loss": 0.5677,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 3.515151515151515,
|
| 818 |
+
"grad_norm": 0.4200754325291374,
|
| 819 |
+
"learning_rate": 1.1736481776669307e-05,
|
| 820 |
+
"loss": 0.5601,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 3.5454545454545454,
|
| 825 |
+
"grad_norm": 0.41667136318291725,
|
| 826 |
+
"learning_rate": 1.1586825464562515e-05,
|
| 827 |
+
"loss": 0.6025,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 3.5757575757575757,
|
| 832 |
+
"grad_norm": 0.3967776189508287,
|
| 833 |
+
"learning_rate": 1.1436803658769082e-05,
|
| 834 |
+
"loss": 0.5983,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 3.606060606060606,
|
| 839 |
+
"grad_norm": 0.38859872977785287,
|
| 840 |
+
"learning_rate": 1.1286450913828313e-05,
|
| 841 |
+
"loss": 0.5693,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.6363636363636362,
|
| 846 |
+
"grad_norm": 0.3657265255161343,
|
| 847 |
+
"learning_rate": 1.113580186050475e-05,
|
| 848 |
+
"loss": 0.6084,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 3.6666666666666665,
|
| 853 |
+
"grad_norm": 0.3499353718681901,
|
| 854 |
+
"learning_rate": 1.0984891197811686e-05,
|
| 855 |
+
"loss": 0.6265,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 3.6969696969696972,
|
| 860 |
+
"grad_norm": 0.4094454939382451,
|
| 861 |
+
"learning_rate": 1.0833753685018935e-05,
|
| 862 |
+
"loss": 0.598,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 3.7272727272727275,
|
| 867 |
+
"grad_norm": 0.32892441325866917,
|
| 868 |
+
"learning_rate": 1.0682424133646712e-05,
|
| 869 |
+
"loss": 0.5897,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 3.757575757575758,
|
| 874 |
+
"grad_norm": 0.3833177656299727,
|
| 875 |
+
"learning_rate": 1.0530937399447496e-05,
|
| 876 |
+
"loss": 0.5897,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 3.787878787878788,
|
| 881 |
+
"grad_norm": 0.3769241654165782,
|
| 882 |
+
"learning_rate": 1.0379328374377715e-05,
|
| 883 |
+
"loss": 0.5648,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.8181818181818183,
|
| 888 |
+
"grad_norm": 0.34272214405489915,
|
| 889 |
+
"learning_rate": 1.0227631978561057e-05,
|
| 890 |
+
"loss": 0.6158,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 3.8484848484848486,
|
| 895 |
+
"grad_norm": 0.3755040249036914,
|
| 896 |
+
"learning_rate": 1.0075883152245334e-05,
|
| 897 |
+
"loss": 0.6222,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 3.878787878787879,
|
| 902 |
+
"grad_norm": 0.3364748840442625,
|
| 903 |
+
"learning_rate": 9.92411684775467e-06,
|
| 904 |
+
"loss": 0.6131,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 3.909090909090909,
|
| 909 |
+
"grad_norm": 0.3313129750694039,
|
| 910 |
+
"learning_rate": 9.772368021438943e-06,
|
| 911 |
+
"loss": 0.5865,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 3.9393939393939394,
|
| 916 |
+
"grad_norm": 0.34004338305513937,
|
| 917 |
+
"learning_rate": 9.620671625622287e-06,
|
| 918 |
+
"loss": 0.6016,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 3.9696969696969697,
|
| 923 |
+
"grad_norm": 0.35450131562874504,
|
| 924 |
+
"learning_rate": 9.469062600552509e-06,
|
| 925 |
+
"loss": 0.6036,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 4.0,
|
| 930 |
+
"grad_norm": 0.2884340463320288,
|
| 931 |
+
"learning_rate": 9.317575866353293e-06,
|
| 932 |
+
"loss": 0.5724,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 4.03030303030303,
|
| 937 |
+
"grad_norm": 0.8221980611820946,
|
| 938 |
+
"learning_rate": 9.166246314981066e-06,
|
| 939 |
+
"loss": 0.5335,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 4.0606060606060606,
|
| 944 |
+
"grad_norm": 0.3593534333309625,
|
| 945 |
+
"learning_rate": 9.015108802188314e-06,
|
| 946 |
+
"loss": 0.5397,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 4.090909090909091,
|
| 951 |
+
"grad_norm": 1.016539585630258,
|
| 952 |
+
"learning_rate": 8.86419813949525e-06,
|
| 953 |
+
"loss": 0.4792,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 4.121212121212121,
|
| 958 |
+
"grad_norm": 0.3836515827869688,
|
| 959 |
+
"learning_rate": 8.71354908617169e-06,
|
| 960 |
+
"loss": 0.5572,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 4.151515151515151,
|
| 965 |
+
"grad_norm": 0.654174879353079,
|
| 966 |
+
"learning_rate": 8.56319634123092e-06,
|
| 967 |
+
"loss": 0.5373,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 4.181818181818182,
|
| 972 |
+
"grad_norm": 0.4860925117352824,
|
| 973 |
+
"learning_rate": 8.413174535437486e-06,
|
| 974 |
+
"loss": 0.5021,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 4.212121212121212,
|
| 979 |
+
"grad_norm": 0.44624230931575426,
|
| 980 |
+
"learning_rate": 8.263518223330698e-06,
|
| 981 |
+
"loss": 0.5429,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 4.242424242424242,
|
| 986 |
+
"grad_norm": 0.7365373727628527,
|
| 987 |
+
"learning_rate": 8.114261875265643e-06,
|
| 988 |
+
"loss": 0.5491,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 4.2727272727272725,
|
| 993 |
+
"grad_norm": 0.34738655001456165,
|
| 994 |
+
"learning_rate": 7.965439869473664e-06,
|
| 995 |
+
"loss": 0.5353,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 4.303030303030303,
|
| 1000 |
+
"grad_norm": 0.5685155911111173,
|
| 1001 |
+
"learning_rate": 7.817086484143987e-06,
|
| 1002 |
+
"loss": 0.5108,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 4.333333333333333,
|
| 1007 |
+
"grad_norm": 0.5025844097814388,
|
| 1008 |
+
"learning_rate": 7.669235889528436e-06,
|
| 1009 |
+
"loss": 0.5259,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 4.363636363636363,
|
| 1014 |
+
"grad_norm": 0.3485318123713458,
|
| 1015 |
+
"learning_rate": 7.521922140071003e-06,
|
| 1016 |
+
"loss": 0.4858,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 4.393939393939394,
|
| 1021 |
+
"grad_norm": 0.49548568133152016,
|
| 1022 |
+
"learning_rate": 7.375179166564062e-06,
|
| 1023 |
+
"loss": 0.5416,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 4.424242424242424,
|
| 1028 |
+
"grad_norm": 0.38895260895412237,
|
| 1029 |
+
"learning_rate": 7.2290407683331154e-06,
|
| 1030 |
+
"loss": 0.5123,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 4.454545454545454,
|
| 1035 |
+
"grad_norm": 0.3787457287350692,
|
| 1036 |
+
"learning_rate": 7.0835406054517505e-06,
|
| 1037 |
+
"loss": 0.5423,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 4.484848484848484,
|
| 1042 |
+
"grad_norm": 0.4078612790532545,
|
| 1043 |
+
"learning_rate": 6.93871219098876e-06,
|
| 1044 |
+
"loss": 0.5193,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 4.515151515151516,
|
| 1049 |
+
"grad_norm": 0.35138547275802173,
|
| 1050 |
+
"learning_rate": 6.79458888328903e-06,
|
| 1051 |
+
"loss": 0.4995,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 4.545454545454545,
|
| 1056 |
+
"grad_norm": 0.35711350869183073,
|
| 1057 |
+
"learning_rate": 6.651203878290139e-06,
|
| 1058 |
+
"loss": 0.4876,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 4.575757575757576,
|
| 1063 |
+
"grad_norm": 0.35616419823813167,
|
| 1064 |
+
"learning_rate": 6.508590201876317e-06,
|
| 1065 |
+
"loss": 0.51,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 4.606060606060606,
|
| 1070 |
+
"grad_norm": 0.36474499374188823,
|
| 1071 |
+
"learning_rate": 6.366780702271589e-06,
|
| 1072 |
+
"loss": 0.5099,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 4.636363636363637,
|
| 1077 |
+
"grad_norm": 0.3403698282794116,
|
| 1078 |
+
"learning_rate": 6.225808042473857e-06,
|
| 1079 |
+
"loss": 0.5031,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 4.666666666666667,
|
| 1084 |
+
"grad_norm": 0.33883017236772794,
|
| 1085 |
+
"learning_rate": 6.085704692731609e-06,
|
| 1086 |
+
"loss": 0.5239,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 4.696969696969697,
|
| 1091 |
+
"grad_norm": 0.3398850608166464,
|
| 1092 |
+
"learning_rate": 5.946502923065054e-06,
|
| 1093 |
+
"loss": 0.55,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 4.7272727272727275,
|
| 1098 |
+
"grad_norm": 0.3753451324323081,
|
| 1099 |
+
"learning_rate": 5.8082347958333625e-06,
|
| 1100 |
+
"loss": 0.5705,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 4.757575757575758,
|
| 1105 |
+
"grad_norm": 0.28415263780988786,
|
| 1106 |
+
"learning_rate": 5.670932158349732e-06,
|
| 1107 |
+
"loss": 0.4858,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 4.787878787878788,
|
| 1112 |
+
"grad_norm": 0.3274461121683733,
|
| 1113 |
+
"learning_rate": 5.534626635546e-06,
|
| 1114 |
+
"loss": 0.5129,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 4.818181818181818,
|
| 1119 |
+
"grad_norm": 0.31333297032587853,
|
| 1120 |
+
"learning_rate": 5.399349622688479e-06,
|
| 1121 |
+
"loss": 0.5393,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 4.848484848484849,
|
| 1126 |
+
"grad_norm": 0.3182090157724561,
|
| 1127 |
+
"learning_rate": 5.2651322781466606e-06,
|
| 1128 |
+
"loss": 0.5301,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 4.878787878787879,
|
| 1133 |
+
"grad_norm": 0.3065689083522182,
|
| 1134 |
+
"learning_rate": 5.132005516216512e-06,
|
| 1135 |
+
"loss": 0.5365,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 4.909090909090909,
|
| 1140 |
+
"grad_norm": 0.31168899765491165,
|
| 1141 |
+
"learning_rate": 5.000000000000003e-06,
|
| 1142 |
+
"loss": 0.5436,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 4.9393939393939394,
|
| 1147 |
+
"grad_norm": 0.32326413717899527,
|
| 1148 |
+
"learning_rate": 4.869146134342426e-06,
|
| 1149 |
+
"loss": 0.4996,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 4.96969696969697,
|
| 1154 |
+
"grad_norm": 0.286612363019893,
|
| 1155 |
+
"learning_rate": 4.739474058829288e-06,
|
| 1156 |
+
"loss": 0.4761,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 5.0,
|
| 1161 |
+
"grad_norm": 0.2951379128595362,
|
| 1162 |
+
"learning_rate": 4.611013640844245e-06,
|
| 1163 |
+
"loss": 0.5082,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 5.03030303030303,
|
| 1168 |
+
"grad_norm": 0.6396686995541148,
|
| 1169 |
+
"learning_rate": 4.483794468689728e-06,
|
| 1170 |
+
"loss": 0.4722,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 5.0606060606060606,
|
| 1175 |
+
"grad_norm": 0.3423121241028325,
|
| 1176 |
+
"learning_rate": 4.357845844771881e-06,
|
| 1177 |
+
"loss": 0.5007,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 5.090909090909091,
|
| 1182 |
+
"grad_norm": 0.4221329439669877,
|
| 1183 |
+
"learning_rate": 4.2331967788513295e-06,
|
| 1184 |
+
"loss": 0.4563,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 5.121212121212121,
|
| 1189 |
+
"grad_norm": 0.6155289420170268,
|
| 1190 |
+
"learning_rate": 4.109875981361363e-06,
|
| 1191 |
+
"loss": 0.4219,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 5.151515151515151,
|
| 1196 |
+
"grad_norm": 0.40123316857880825,
|
| 1197 |
+
"learning_rate": 3.987911856795047e-06,
|
| 1198 |
+
"loss": 0.4222,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 5.181818181818182,
|
| 1203 |
+
"grad_norm": 0.3320803102770148,
|
| 1204 |
+
"learning_rate": 3.867332497162836e-06,
|
| 1205 |
+
"loss": 0.4563,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 5.212121212121212,
|
| 1210 |
+
"grad_norm": 0.3948023088899153,
|
| 1211 |
+
"learning_rate": 3.748165675522113e-06,
|
| 1212 |
+
"loss": 0.473,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 5.242424242424242,
|
| 1217 |
+
"grad_norm": 0.3837070545882063,
|
| 1218 |
+
"learning_rate": 3.630438839580217e-06,
|
| 1219 |
+
"loss": 0.4906,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 5.2727272727272725,
|
| 1224 |
+
"grad_norm": 0.33592587876681307,
|
| 1225 |
+
"learning_rate": 3.5141791053724405e-06,
|
| 1226 |
+
"loss": 0.4917,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 5.303030303030303,
|
| 1231 |
+
"grad_norm": 0.31195103979332,
|
| 1232 |
+
"learning_rate": 3.399413251016359e-06,
|
| 1233 |
+
"loss": 0.4569,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 5.333333333333333,
|
| 1238 |
+
"grad_norm": 0.36728919190444254,
|
| 1239 |
+
"learning_rate": 3.2861677105440335e-06,
|
| 1240 |
+
"loss": 0.4635,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 5.363636363636363,
|
| 1245 |
+
"grad_norm": 0.3517700737933514,
|
| 1246 |
+
"learning_rate": 3.174468567813461e-06,
|
| 1247 |
+
"loss": 0.4398,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 5.393939393939394,
|
| 1252 |
+
"grad_norm": 0.2943168684553675,
|
| 1253 |
+
"learning_rate": 3.0643415505006733e-06,
|
| 1254 |
+
"loss": 0.4284,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 5.424242424242424,
|
| 1259 |
+
"grad_norm": 0.26739447517561443,
|
| 1260 |
+
"learning_rate": 2.9558120241738786e-06,
|
| 1261 |
+
"loss": 0.4225,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 5.454545454545454,
|
| 1266 |
+
"grad_norm": 0.3507665474790921,
|
| 1267 |
+
"learning_rate": 2.8489049864510053e-06,
|
| 1268 |
+
"loss": 0.4641,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 5.484848484848484,
|
| 1273 |
+
"grad_norm": 0.40200384317116233,
|
| 1274 |
+
"learning_rate": 2.7436450612420098e-06,
|
| 1275 |
+
"loss": 0.4357,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 5.515151515151516,
|
| 1280 |
+
"grad_norm": 0.2823987694207428,
|
| 1281 |
+
"learning_rate": 2.640056493077231e-06,
|
| 1282 |
+
"loss": 0.4329,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 5.545454545454545,
|
| 1287 |
+
"grad_norm": 0.3194011591578307,
|
| 1288 |
+
"learning_rate": 2.5381631415231455e-06,
|
| 1289 |
+
"loss": 0.4591,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 5.575757575757576,
|
| 1294 |
+
"grad_norm": 12.00665981560085,
|
| 1295 |
+
"learning_rate": 2.4379884756868167e-06,
|
| 1296 |
+
"loss": 0.4422,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 5.606060606060606,
|
| 1301 |
+
"grad_norm": 0.4054663444384578,
|
| 1302 |
+
"learning_rate": 2.339555568810221e-06,
|
| 1303 |
+
"loss": 0.5145,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 5.636363636363637,
|
| 1308 |
+
"grad_norm": 0.3444464352203058,
|
| 1309 |
+
"learning_rate": 2.2428870929558012e-06,
|
| 1310 |
+
"loss": 0.4473,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 5.666666666666667,
|
| 1315 |
+
"grad_norm": 0.2630241472106751,
|
| 1316 |
+
"learning_rate": 2.1480053137844115e-06,
|
| 1317 |
+
"loss": 0.4549,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 5.696969696969697,
|
| 1322 |
+
"grad_norm": 0.26492666361572254,
|
| 1323 |
+
"learning_rate": 2.054932085426856e-06,
|
| 1324 |
+
"loss": 0.5098,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 5.7272727272727275,
|
| 1329 |
+
"grad_norm": 0.31298591883853255,
|
| 1330 |
+
"learning_rate": 1.963688845450218e-06,
|
| 1331 |
+
"loss": 0.4747,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 5.757575757575758,
|
| 1336 |
+
"grad_norm": 0.29755219202050065,
|
| 1337 |
+
"learning_rate": 1.8742966099201699e-06,
|
| 1338 |
+
"loss": 0.4705,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 5.787878787878788,
|
| 1343 |
+
"grad_norm": 0.31180141240352466,
|
| 1344 |
+
"learning_rate": 1.7867759685603115e-06,
|
| 1345 |
+
"loss": 0.4658,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 5.818181818181818,
|
| 1350 |
+
"grad_norm": 0.2548757714611652,
|
| 1351 |
+
"learning_rate": 1.7011470800097496e-06,
|
| 1352 |
+
"loss": 0.495,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 5.848484848484849,
|
| 1357 |
+
"grad_norm": 0.2495894264574609,
|
| 1358 |
+
"learning_rate": 1.6174296671799571e-06,
|
| 1359 |
+
"loss": 0.4912,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 5.878787878787879,
|
| 1364 |
+
"grad_norm": 0.27525778253407,
|
| 1365 |
+
"learning_rate": 1.5356430127119915e-06,
|
| 1366 |
+
"loss": 0.4414,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 5.909090909090909,
|
| 1371 |
+
"grad_norm": 0.2882641006805427,
|
| 1372 |
+
"learning_rate": 1.4558059545351144e-06,
|
| 1373 |
+
"loss": 0.4428,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 5.9393939393939394,
|
| 1378 |
+
"grad_norm": 0.2707067991284653,
|
| 1379 |
+
"learning_rate": 1.3779368815278648e-06,
|
| 1380 |
+
"loss": 0.4501,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 5.96969696969697,
|
| 1385 |
+
"grad_norm": 0.27255241451283946,
|
| 1386 |
+
"learning_rate": 1.302053729282533e-06,
|
| 1387 |
+
"loss": 0.4156,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 6.0,
|
| 1392 |
+
"grad_norm": 0.23902392900936897,
|
| 1393 |
+
"learning_rate": 1.2281739759740575e-06,
|
| 1394 |
+
"loss": 0.4772,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 6.03030303030303,
|
| 1399 |
+
"grad_norm": 0.59970297576034,
|
| 1400 |
+
"learning_rate": 1.156314638334277e-06,
|
| 1401 |
+
"loss": 0.4291,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 6.0606060606060606,
|
| 1406 |
+
"grad_norm": 0.4576800220633988,
|
| 1407 |
+
"learning_rate": 1.086492267732462e-06,
|
| 1408 |
+
"loss": 0.4452,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 6.090909090909091,
|
| 1413 |
+
"grad_norm": 0.4274779611887373,
|
| 1414 |
+
"learning_rate": 1.01872294636304e-06,
|
| 1415 |
+
"loss": 0.4869,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 6.121212121212121,
|
| 1420 |
+
"grad_norm": 0.2724706245307364,
|
| 1421 |
+
"learning_rate": 9.530222835413739e-07,
|
| 1422 |
+
"loss": 0.4514,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 6.151515151515151,
|
| 1427 |
+
"grad_norm": 0.2768126110602979,
|
| 1428 |
+
"learning_rate": 8.894054121084839e-07,
|
| 1429 |
+
"loss": 0.4111,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 6.181818181818182,
|
| 1434 |
+
"grad_norm": 0.36175848135934524,
|
| 1435 |
+
"learning_rate": 8.278869849454718e-07,
|
| 1436 |
+
"loss": 0.3967,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 6.212121212121212,
|
| 1441 |
+
"grad_norm": 0.3255617649420347,
|
| 1442 |
+
"learning_rate": 7.684811715985429e-07,
|
| 1443 |
+
"loss": 0.4209,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 6.242424242424242,
|
| 1448 |
+
"grad_norm": 0.37390031536194934,
|
| 1449 |
+
"learning_rate": 7.1120165501533e-07,
|
| 1450 |
+
"loss": 0.4709,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 6.2727272727272725,
|
| 1455 |
+
"grad_norm": 0.2842925028722727,
|
| 1456 |
+
"learning_rate": 6.560616283932897e-07,
|
| 1457 |
+
"loss": 0.4057,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 6.303030303030303,
|
| 1462 |
+
"grad_norm": 0.30737010509919,
|
| 1463 |
+
"learning_rate": 6.030737921409169e-07,
|
| 1464 |
+
"loss": 0.4025,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 6.333333333333333,
|
| 1469 |
+
"grad_norm": 0.2774212067126218,
|
| 1470 |
+
"learning_rate": 5.522503509524591e-07,
|
| 1471 |
+
"loss": 0.389,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 6.363636363636363,
|
| 1476 |
+
"grad_norm": 0.24902416809163633,
|
| 1477 |
+
"learning_rate": 5.036030109968082e-07,
|
| 1478 |
+
"loss": 0.4167,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 6.393939393939394,
|
| 1483 |
+
"grad_norm": 0.23884345151826672,
|
| 1484 |
+
"learning_rate": 4.5714297722121105e-07,
|
| 1485 |
+
"loss": 0.4448,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 6.424242424242424,
|
| 1490 |
+
"grad_norm": 0.2433230050086897,
|
| 1491 |
+
"learning_rate": 4.128809507704445e-07,
|
| 1492 |
+
"loss": 0.4279,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 6.454545454545454,
|
| 1497 |
+
"grad_norm": 0.23663270669548958,
|
| 1498 |
+
"learning_rate": 3.708271265220087e-07,
|
| 1499 |
+
"loss": 0.4333,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 6.484848484848484,
|
| 1504 |
+
"grad_norm": 0.26350115568381516,
|
| 1505 |
+
"learning_rate": 3.309911907379393e-07,
|
| 1506 |
+
"loss": 0.4435,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 6.515151515151516,
|
| 1511 |
+
"grad_norm": 0.2523958492422985,
|
| 1512 |
+
"learning_rate": 2.9338231883378365e-07,
|
| 1513 |
+
"loss": 0.4058,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 6.545454545454545,
|
| 1518 |
+
"grad_norm": 0.4363043626731539,
|
| 1519 |
+
"learning_rate": 2.5800917326521013e-07,
|
| 1520 |
+
"loss": 0.4212,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 6.575757575757576,
|
| 1525 |
+
"grad_norm": 0.24510225333558835,
|
| 1526 |
+
"learning_rate": 2.248799015327907e-07,
|
| 1527 |
+
"loss": 0.433,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 6.606060606060606,
|
| 1532 |
+
"grad_norm": 0.2515502412207173,
|
| 1533 |
+
"learning_rate": 1.9400213430538773e-07,
|
| 1534 |
+
"loss": 0.4114,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 6.636363636363637,
|
| 1539 |
+
"grad_norm": 0.22642116713616728,
|
| 1540 |
+
"learning_rate": 1.6538298366257975e-07,
|
| 1541 |
+
"loss": 0.4208,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 6.666666666666667,
|
| 1546 |
+
"grad_norm": 0.23045976062255522,
|
| 1547 |
+
"learning_rate": 1.3902904145653094e-07,
|
| 1548 |
+
"loss": 0.4377,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 6.696969696969697,
|
| 1553 |
+
"grad_norm": 0.3273677387615356,
|
| 1554 |
+
"learning_rate": 1.1494637779369766e-07,
|
| 1555 |
+
"loss": 0.4335,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 6.7272727272727275,
|
| 1560 |
+
"grad_norm": 0.2190561532506803,
|
| 1561 |
+
"learning_rate": 9.314053963669245e-08,
|
| 1562 |
+
"loss": 0.429,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 6.757575757575758,
|
| 1567 |
+
"grad_norm": 0.2173262726511028,
|
| 1568 |
+
"learning_rate": 7.361654952665608e-08,
|
| 1569 |
+
"loss": 0.4489,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 6.787878787878788,
|
| 1574 |
+
"grad_norm": 0.21008428279486377,
|
| 1575 |
+
"learning_rate": 5.637890442641403e-08,
|
| 1576 |
+
"loss": 0.4455,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 6.818181818181818,
|
| 1581 |
+
"grad_norm": 0.22018538950475083,
|
| 1582 |
+
"learning_rate": 4.143157468468717e-08,
|
| 1583 |
+
"loss": 0.4448,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 6.848484848484849,
|
| 1588 |
+
"grad_norm": 0.2150873034352879,
|
| 1589 |
+
"learning_rate": 2.8778003121607834e-08,
|
| 1590 |
+
"loss": 0.4125,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 6.878787878787879,
|
| 1595 |
+
"grad_norm": 0.2327869206947825,
|
| 1596 |
+
"learning_rate": 1.8421104235727406e-08,
|
| 1597 |
+
"loss": 0.4053,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 6.909090909090909,
|
| 1602 |
+
"grad_norm": 0.22670408223918043,
|
| 1603 |
+
"learning_rate": 1.0363263532724433e-08,
|
| 1604 |
+
"loss": 0.449,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 6.9393939393939394,
|
| 1609 |
+
"grad_norm": 0.22376706811314764,
|
| 1610 |
+
"learning_rate": 4.606336975948589e-09,
|
| 1611 |
+
"loss": 0.4298,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 6.96969696969697,
|
| 1616 |
+
"grad_norm": 0.21864456226252352,
|
| 1617 |
+
"learning_rate": 1.1516505589381777e-09,
|
| 1618 |
+
"loss": 0.4316,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 7.0,
|
| 1623 |
+
"grad_norm": 0.211507799811681,
|
| 1624 |
+
"learning_rate": 0.0,
|
| 1625 |
+
"loss": 0.443,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 7.0,
|
| 1630 |
+
"step": 231,
|
| 1631 |
+
"total_flos": 2229330703810560.0,
|
| 1632 |
+
"train_loss": 0.6009024948010713,
|
| 1633 |
+
"train_runtime": 6779.558,
|
| 1634 |
+
"train_samples_per_second": 3.263,
|
| 1635 |
+
"train_steps_per_second": 0.034
|
| 1636 |
+
}
|
| 1637 |
+
],
|
| 1638 |
+
"logging_steps": 1,
|
| 1639 |
+
"max_steps": 231,
|
| 1640 |
+
"num_input_tokens_seen": 0,
|
| 1641 |
+
"num_train_epochs": 7,
|
| 1642 |
+
"save_steps": 500,
|
| 1643 |
+
"stateful_callbacks": {
|
| 1644 |
+
"TrainerControl": {
|
| 1645 |
+
"args": {
|
| 1646 |
+
"should_epoch_stop": false,
|
| 1647 |
+
"should_evaluate": false,
|
| 1648 |
+
"should_log": false,
|
| 1649 |
+
"should_save": true,
|
| 1650 |
+
"should_training_stop": true
|
| 1651 |
+
},
|
| 1652 |
+
"attributes": {}
|
| 1653 |
+
}
|
| 1654 |
+
},
|
| 1655 |
+
"total_flos": 2229330703810560.0,
|
| 1656 |
+
"train_batch_size": 1,
|
| 1657 |
+
"trial_name": null,
|
| 1658 |
+
"trial_params": null
|
| 1659 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:958c7f2965c876b503ea05df4bc696269610f0c58059020c6bb9b6dcbef9deb1
|
| 3 |
+
size 7416
|
training_loss.png
ADDED
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|