Commit
•
32ec3a0
1
Parent(s):
eb85546
Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +603 -0
README.md
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
license: llama3.1
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: Llama-31-8B_task-2_120-samples_config-2_full_auto
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# Llama-31-8B_task-2_120-samples_config-2_full_auto
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 1.1334
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 1
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- gradient_accumulation_steps: 16
|
| 46 |
+
- total_train_batch_size: 16
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: cosine
|
| 49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 50 |
+
- num_epochs: 50
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 55 |
+
|:-------------:|:-------:|:----:|:---------------:|
|
| 56 |
+
| 1.5395 | 0.9091 | 5 | 1.5119 |
|
| 57 |
+
| 1.4907 | 2.0 | 11 | 1.4172 |
|
| 58 |
+
| 1.3412 | 2.9091 | 16 | 1.3288 |
|
| 59 |
+
| 1.2282 | 4.0 | 22 | 1.2153 |
|
| 60 |
+
| 1.1141 | 4.9091 | 27 | 1.1136 |
|
| 61 |
+
| 1.0131 | 6.0 | 33 | 1.0540 |
|
| 62 |
+
| 1.0044 | 6.9091 | 38 | 1.0380 |
|
| 63 |
+
| 0.9748 | 8.0 | 44 | 1.0223 |
|
| 64 |
+
| 0.937 | 8.9091 | 49 | 1.0142 |
|
| 65 |
+
| 0.9481 | 10.0 | 55 | 1.0053 |
|
| 66 |
+
| 0.9023 | 10.9091 | 60 | 1.0011 |
|
| 67 |
+
| 0.8716 | 12.0 | 66 | 0.9987 |
|
| 68 |
+
| 0.849 | 12.9091 | 71 | 0.9982 |
|
| 69 |
+
| 0.836 | 14.0 | 77 | 1.0032 |
|
| 70 |
+
| 0.7365 | 14.9091 | 82 | 1.0176 |
|
| 71 |
+
| 0.7495 | 16.0 | 88 | 1.0259 |
|
| 72 |
+
| 0.6882 | 16.9091 | 93 | 1.0410 |
|
| 73 |
+
| 0.6301 | 18.0 | 99 | 1.0708 |
|
| 74 |
+
| 0.6114 | 18.9091 | 104 | 1.1067 |
|
| 75 |
+
| 0.591 | 20.0 | 110 | 1.1334 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- PEFT 0.12.0
|
| 81 |
+
- Transformers 4.44.0
|
| 82 |
+
- Pytorch 2.1.2+cu121
|
| 83 |
+
- Datasets 2.20.0
|
| 84 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 167832240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:525a1f10879d92294dc1553d515ac0e7e8029e39359b6809905e3c54bd4d620d
|
| 3 |
size 167832240
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"total_flos": 1.7419861205660467e+17,
|
| 4 |
+
"train_loss": 0.9589717778292569,
|
| 5 |
+
"train_runtime": 6212.9293,
|
| 6 |
+
"train_samples": 88,
|
| 7 |
+
"train_samples_per_second": 0.708,
|
| 8 |
+
"train_steps_per_second": 0.04
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"total_flos": 1.7419861205660467e+17,
|
| 4 |
+
"train_loss": 0.9589717778292569,
|
| 5 |
+
"train_runtime": 6212.9293,
|
| 6 |
+
"train_samples": 88,
|
| 7 |
+
"train_samples_per_second": 0.708,
|
| 8 |
+
"train_steps_per_second": 0.04
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,603 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9981787800788879,
|
| 3 |
+
"best_model_checkpoint": "data/Llama-31-8B_task-2_120-samples_config-2_full_auto/checkpoint-71",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 110,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.18181818181818182,
|
| 13 |
+
"grad_norm": 0.499232679605484,
|
| 14 |
+
"learning_rate": 4.000000000000001e-06,
|
| 15 |
+
"loss": 1.5314,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.36363636363636365,
|
| 20 |
+
"grad_norm": 0.45545342564582825,
|
| 21 |
+
"learning_rate": 8.000000000000001e-06,
|
| 22 |
+
"loss": 1.4846,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.7272727272727273,
|
| 27 |
+
"grad_norm": 0.42690765857696533,
|
| 28 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 29 |
+
"loss": 1.5395,
|
| 30 |
+
"step": 4
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.9090909090909091,
|
| 34 |
+
"eval_loss": 1.5119134187698364,
|
| 35 |
+
"eval_runtime": 25.0009,
|
| 36 |
+
"eval_samples_per_second": 0.96,
|
| 37 |
+
"eval_steps_per_second": 0.96,
|
| 38 |
+
"step": 5
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.0909090909090908,
|
| 42 |
+
"grad_norm": 0.4263952970504761,
|
| 43 |
+
"learning_rate": 2.4e-05,
|
| 44 |
+
"loss": 1.5219,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 1.4545454545454546,
|
| 49 |
+
"grad_norm": 0.4570830762386322,
|
| 50 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 51 |
+
"loss": 1.477,
|
| 52 |
+
"step": 8
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 1.8181818181818183,
|
| 56 |
+
"grad_norm": 0.35217902064323425,
|
| 57 |
+
"learning_rate": 4e-05,
|
| 58 |
+
"loss": 1.4907,
|
| 59 |
+
"step": 10
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 2.0,
|
| 63 |
+
"eval_loss": 1.417191505432129,
|
| 64 |
+
"eval_runtime": 25.0036,
|
| 65 |
+
"eval_samples_per_second": 0.96,
|
| 66 |
+
"eval_steps_per_second": 0.96,
|
| 67 |
+
"step": 11
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.1818181818181817,
|
| 71 |
+
"grad_norm": 0.27743151783943176,
|
| 72 |
+
"learning_rate": 4.8e-05,
|
| 73 |
+
"loss": 1.3811,
|
| 74 |
+
"step": 12
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.5454545454545454,
|
| 78 |
+
"grad_norm": 0.31835851073265076,
|
| 79 |
+
"learning_rate": 5.6000000000000006e-05,
|
| 80 |
+
"loss": 1.3756,
|
| 81 |
+
"step": 14
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 2.909090909090909,
|
| 85 |
+
"grad_norm": 0.22837312519550323,
|
| 86 |
+
"learning_rate": 6.400000000000001e-05,
|
| 87 |
+
"loss": 1.3412,
|
| 88 |
+
"step": 16
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 2.909090909090909,
|
| 92 |
+
"eval_loss": 1.3288416862487793,
|
| 93 |
+
"eval_runtime": 24.9916,
|
| 94 |
+
"eval_samples_per_second": 0.96,
|
| 95 |
+
"eval_steps_per_second": 0.96,
|
| 96 |
+
"step": 16
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 3.2727272727272725,
|
| 100 |
+
"grad_norm": 0.23391933739185333,
|
| 101 |
+
"learning_rate": 7.2e-05,
|
| 102 |
+
"loss": 1.2966,
|
| 103 |
+
"step": 18
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 3.6363636363636362,
|
| 107 |
+
"grad_norm": 0.25118717551231384,
|
| 108 |
+
"learning_rate": 8e-05,
|
| 109 |
+
"loss": 1.2484,
|
| 110 |
+
"step": 20
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 4.0,
|
| 114 |
+
"grad_norm": 0.22090202569961548,
|
| 115 |
+
"learning_rate": 8.800000000000001e-05,
|
| 116 |
+
"loss": 1.2282,
|
| 117 |
+
"step": 22
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 4.0,
|
| 121 |
+
"eval_loss": 1.2153141498565674,
|
| 122 |
+
"eval_runtime": 24.9941,
|
| 123 |
+
"eval_samples_per_second": 0.96,
|
| 124 |
+
"eval_steps_per_second": 0.96,
|
| 125 |
+
"step": 22
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 4.363636363636363,
|
| 129 |
+
"grad_norm": 0.22254027426242828,
|
| 130 |
+
"learning_rate": 9.6e-05,
|
| 131 |
+
"loss": 1.1737,
|
| 132 |
+
"step": 24
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 4.7272727272727275,
|
| 136 |
+
"grad_norm": 0.25803518295288086,
|
| 137 |
+
"learning_rate": 9.999512620046522e-05,
|
| 138 |
+
"loss": 1.1141,
|
| 139 |
+
"step": 26
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 4.909090909090909,
|
| 143 |
+
"eval_loss": 1.1135841608047485,
|
| 144 |
+
"eval_runtime": 24.9994,
|
| 145 |
+
"eval_samples_per_second": 0.96,
|
| 146 |
+
"eval_steps_per_second": 0.96,
|
| 147 |
+
"step": 27
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 5.090909090909091,
|
| 151 |
+
"grad_norm": 0.2485925853252411,
|
| 152 |
+
"learning_rate": 9.995614150494293e-05,
|
| 153 |
+
"loss": 1.092,
|
| 154 |
+
"step": 28
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 5.454545454545454,
|
| 158 |
+
"grad_norm": 0.20472270250320435,
|
| 159 |
+
"learning_rate": 9.987820251299122e-05,
|
| 160 |
+
"loss": 1.0324,
|
| 161 |
+
"step": 30
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 5.818181818181818,
|
| 165 |
+
"grad_norm": 0.17066584527492523,
|
| 166 |
+
"learning_rate": 9.976136999909156e-05,
|
| 167 |
+
"loss": 1.0131,
|
| 168 |
+
"step": 32
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 6.0,
|
| 172 |
+
"eval_loss": 1.0539630651474,
|
| 173 |
+
"eval_runtime": 24.9992,
|
| 174 |
+
"eval_samples_per_second": 0.96,
|
| 175 |
+
"eval_steps_per_second": 0.96,
|
| 176 |
+
"step": 33
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 6.181818181818182,
|
| 180 |
+
"grad_norm": 0.14014144241809845,
|
| 181 |
+
"learning_rate": 9.96057350657239e-05,
|
| 182 |
+
"loss": 1.0045,
|
| 183 |
+
"step": 34
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 6.545454545454545,
|
| 187 |
+
"grad_norm": 0.12622663378715515,
|
| 188 |
+
"learning_rate": 9.941141907232765e-05,
|
| 189 |
+
"loss": 0.9826,
|
| 190 |
+
"step": 36
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 6.909090909090909,
|
| 194 |
+
"grad_norm": 0.12965665757656097,
|
| 195 |
+
"learning_rate": 9.917857354066931e-05,
|
| 196 |
+
"loss": 1.0044,
|
| 197 |
+
"step": 38
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 6.909090909090909,
|
| 201 |
+
"eval_loss": 1.0380480289459229,
|
| 202 |
+
"eval_runtime": 24.9924,
|
| 203 |
+
"eval_samples_per_second": 0.96,
|
| 204 |
+
"eval_steps_per_second": 0.96,
|
| 205 |
+
"step": 38
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 7.2727272727272725,
|
| 209 |
+
"grad_norm": 0.131666362285614,
|
| 210 |
+
"learning_rate": 9.890738003669029e-05,
|
| 211 |
+
"loss": 0.9948,
|
| 212 |
+
"step": 40
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 7.636363636363637,
|
| 216 |
+
"grad_norm": 0.12134098261594772,
|
| 217 |
+
"learning_rate": 9.859805002892732e-05,
|
| 218 |
+
"loss": 0.9451,
|
| 219 |
+
"step": 42
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 8.0,
|
| 223 |
+
"grad_norm": 0.11297284811735153,
|
| 224 |
+
"learning_rate": 9.825082472361557e-05,
|
| 225 |
+
"loss": 0.9748,
|
| 226 |
+
"step": 44
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 8.0,
|
| 230 |
+
"eval_loss": 1.022283673286438,
|
| 231 |
+
"eval_runtime": 25.006,
|
| 232 |
+
"eval_samples_per_second": 0.96,
|
| 233 |
+
"eval_steps_per_second": 0.96,
|
| 234 |
+
"step": 44
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 8.363636363636363,
|
| 238 |
+
"grad_norm": 0.13100577890872955,
|
| 239 |
+
"learning_rate": 9.786597487660337e-05,
|
| 240 |
+
"loss": 0.9412,
|
| 241 |
+
"step": 46
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 8.727272727272727,
|
| 245 |
+
"grad_norm": 0.14722400903701782,
|
| 246 |
+
"learning_rate": 9.744380058222483e-05,
|
| 247 |
+
"loss": 0.937,
|
| 248 |
+
"step": 48
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 8.909090909090908,
|
| 252 |
+
"eval_loss": 1.0142197608947754,
|
| 253 |
+
"eval_runtime": 24.9988,
|
| 254 |
+
"eval_samples_per_second": 0.96,
|
| 255 |
+
"eval_steps_per_second": 0.96,
|
| 256 |
+
"step": 49
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 9.090909090909092,
|
| 260 |
+
"grad_norm": 0.13433553278446198,
|
| 261 |
+
"learning_rate": 9.698463103929542e-05,
|
| 262 |
+
"loss": 0.9592,
|
| 263 |
+
"step": 50
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 9.454545454545455,
|
| 267 |
+
"grad_norm": 0.13646681606769562,
|
| 268 |
+
"learning_rate": 9.648882429441257e-05,
|
| 269 |
+
"loss": 0.9053,
|
| 270 |
+
"step": 52
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 9.818181818181818,
|
| 274 |
+
"grad_norm": 0.14214488863945007,
|
| 275 |
+
"learning_rate": 9.595676696276172e-05,
|
| 276 |
+
"loss": 0.9481,
|
| 277 |
+
"step": 54
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 10.0,
|
| 281 |
+
"eval_loss": 1.0053483247756958,
|
| 282 |
+
"eval_runtime": 24.9925,
|
| 283 |
+
"eval_samples_per_second": 0.96,
|
| 284 |
+
"eval_steps_per_second": 0.96,
|
| 285 |
+
"step": 55
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 10.181818181818182,
|
| 289 |
+
"grad_norm": 0.12895554304122925,
|
| 290 |
+
"learning_rate": 9.538887392664544e-05,
|
| 291 |
+
"loss": 0.8967,
|
| 292 |
+
"step": 56
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 10.545454545454545,
|
| 296 |
+
"grad_norm": 0.16620439291000366,
|
| 297 |
+
"learning_rate": 9.478558801197065e-05,
|
| 298 |
+
"loss": 0.8977,
|
| 299 |
+
"step": 58
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 10.909090909090908,
|
| 303 |
+
"grad_norm": 0.13502992689609528,
|
| 304 |
+
"learning_rate": 9.414737964294636e-05,
|
| 305 |
+
"loss": 0.9023,
|
| 306 |
+
"step": 60
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 10.909090909090908,
|
| 310 |
+
"eval_loss": 1.0011383295059204,
|
| 311 |
+
"eval_runtime": 25.0027,
|
| 312 |
+
"eval_samples_per_second": 0.96,
|
| 313 |
+
"eval_steps_per_second": 0.96,
|
| 314 |
+
"step": 60
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 11.272727272727273,
|
| 318 |
+
"grad_norm": 0.16103532910346985,
|
| 319 |
+
"learning_rate": 9.347474647526095e-05,
|
| 320 |
+
"loss": 0.887,
|
| 321 |
+
"step": 62
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 11.636363636363637,
|
| 325 |
+
"grad_norm": 0.1596815139055252,
|
| 326 |
+
"learning_rate": 9.276821300802534e-05,
|
| 327 |
+
"loss": 0.8935,
|
| 328 |
+
"step": 64
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 12.0,
|
| 332 |
+
"grad_norm": 0.207292839884758,
|
| 333 |
+
"learning_rate": 9.202833017478422e-05,
|
| 334 |
+
"loss": 0.8716,
|
| 335 |
+
"step": 66
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 12.0,
|
| 339 |
+
"eval_loss": 0.9987447261810303,
|
| 340 |
+
"eval_runtime": 24.9973,
|
| 341 |
+
"eval_samples_per_second": 0.96,
|
| 342 |
+
"eval_steps_per_second": 0.96,
|
| 343 |
+
"step": 66
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 12.363636363636363,
|
| 347 |
+
"grad_norm": 0.1768721491098404,
|
| 348 |
+
"learning_rate": 9.125567491391476e-05,
|
| 349 |
+
"loss": 0.858,
|
| 350 |
+
"step": 68
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 12.727272727272727,
|
| 354 |
+
"grad_norm": 0.2096080631017685,
|
| 355 |
+
"learning_rate": 9.045084971874738e-05,
|
| 356 |
+
"loss": 0.849,
|
| 357 |
+
"step": 70
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 12.909090909090908,
|
| 361 |
+
"eval_loss": 0.9981787800788879,
|
| 362 |
+
"eval_runtime": 25.0048,
|
| 363 |
+
"eval_samples_per_second": 0.96,
|
| 364 |
+
"eval_steps_per_second": 0.96,
|
| 365 |
+
"step": 71
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 13.090909090909092,
|
| 369 |
+
"grad_norm": 0.20918868482112885,
|
| 370 |
+
"learning_rate": 8.961448216775954e-05,
|
| 371 |
+
"loss": 0.8323,
|
| 372 |
+
"step": 72
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 13.454545454545455,
|
| 376 |
+
"grad_norm": 0.16997645795345306,
|
| 377 |
+
"learning_rate": 8.874722443520899e-05,
|
| 378 |
+
"loss": 0.8717,
|
| 379 |
+
"step": 74
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 13.818181818181818,
|
| 383 |
+
"grad_norm": 0.19361475110054016,
|
| 384 |
+
"learning_rate": 8.784975278258783e-05,
|
| 385 |
+
"loss": 0.836,
|
| 386 |
+
"step": 76
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 14.0,
|
| 390 |
+
"eval_loss": 1.0032271146774292,
|
| 391 |
+
"eval_runtime": 24.9941,
|
| 392 |
+
"eval_samples_per_second": 0.96,
|
| 393 |
+
"eval_steps_per_second": 0.96,
|
| 394 |
+
"step": 77
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 14.181818181818182,
|
| 398 |
+
"grad_norm": 0.19343358278274536,
|
| 399 |
+
"learning_rate": 8.692276703129421e-05,
|
| 400 |
+
"loss": 0.7833,
|
| 401 |
+
"step": 78
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 14.545454545454545,
|
| 405 |
+
"grad_norm": 0.22505107522010803,
|
| 406 |
+
"learning_rate": 8.596699001693255e-05,
|
| 407 |
+
"loss": 0.8369,
|
| 408 |
+
"step": 80
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 14.909090909090908,
|
| 412 |
+
"grad_norm": 0.26781898736953735,
|
| 413 |
+
"learning_rate": 8.498316702566828e-05,
|
| 414 |
+
"loss": 0.7365,
|
| 415 |
+
"step": 82
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 14.909090909090908,
|
| 419 |
+
"eval_loss": 1.017637848854065,
|
| 420 |
+
"eval_runtime": 24.9953,
|
| 421 |
+
"eval_samples_per_second": 0.96,
|
| 422 |
+
"eval_steps_per_second": 0.96,
|
| 423 |
+
"step": 82
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 15.272727272727273,
|
| 427 |
+
"grad_norm": 0.2967229187488556,
|
| 428 |
+
"learning_rate": 8.397206521307584e-05,
|
| 429 |
+
"loss": 0.7896,
|
| 430 |
+
"step": 84
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 15.636363636363637,
|
| 434 |
+
"grad_norm": 0.34663647413253784,
|
| 435 |
+
"learning_rate": 8.293447300593402e-05,
|
| 436 |
+
"loss": 0.746,
|
| 437 |
+
"step": 86
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 16.0,
|
| 441 |
+
"grad_norm": 0.34494930505752563,
|
| 442 |
+
"learning_rate": 8.18711994874345e-05,
|
| 443 |
+
"loss": 0.7495,
|
| 444 |
+
"step": 88
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 16.0,
|
| 448 |
+
"eval_loss": 1.0259361267089844,
|
| 449 |
+
"eval_runtime": 24.995,
|
| 450 |
+
"eval_samples_per_second": 0.96,
|
| 451 |
+
"eval_steps_per_second": 0.96,
|
| 452 |
+
"step": 88
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 16.363636363636363,
|
| 456 |
+
"grad_norm": 0.2989581823348999,
|
| 457 |
+
"learning_rate": 8.07830737662829e-05,
|
| 458 |
+
"loss": 0.7907,
|
| 459 |
+
"step": 90
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 16.727272727272727,
|
| 463 |
+
"grad_norm": 0.5614259839057922,
|
| 464 |
+
"learning_rate": 7.967094433018508e-05,
|
| 465 |
+
"loss": 0.6882,
|
| 466 |
+
"step": 92
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 16.90909090909091,
|
| 470 |
+
"eval_loss": 1.0410116910934448,
|
| 471 |
+
"eval_runtime": 25.0091,
|
| 472 |
+
"eval_samples_per_second": 0.96,
|
| 473 |
+
"eval_steps_per_second": 0.96,
|
| 474 |
+
"step": 93
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 17.09090909090909,
|
| 478 |
+
"grad_norm": 0.46929559111595154,
|
| 479 |
+
"learning_rate": 7.85356783842216e-05,
|
| 480 |
+
"loss": 0.6714,
|
| 481 |
+
"step": 94
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 17.454545454545453,
|
| 485 |
+
"grad_norm": 0.494697630405426,
|
| 486 |
+
"learning_rate": 7.737816117462752e-05,
|
| 487 |
+
"loss": 0.6695,
|
| 488 |
+
"step": 96
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 17.818181818181817,
|
| 492 |
+
"grad_norm": 0.4196230471134186,
|
| 493 |
+
"learning_rate": 7.619929529850397e-05,
|
| 494 |
+
"loss": 0.6301,
|
| 495 |
+
"step": 98
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 18.0,
|
| 499 |
+
"eval_loss": 1.070792317390442,
|
| 500 |
+
"eval_runtime": 24.9946,
|
| 501 |
+
"eval_samples_per_second": 0.96,
|
| 502 |
+
"eval_steps_per_second": 0.96,
|
| 503 |
+
"step": 99
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 18.181818181818183,
|
| 507 |
+
"grad_norm": 0.43488675355911255,
|
| 508 |
+
"learning_rate": 7.500000000000001e-05,
|
| 509 |
+
"loss": 0.671,
|
| 510 |
+
"step": 100
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 18.545454545454547,
|
| 514 |
+
"grad_norm": 0.6978307962417603,
|
| 515 |
+
"learning_rate": 7.378121045351378e-05,
|
| 516 |
+
"loss": 0.6072,
|
| 517 |
+
"step": 102
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 18.90909090909091,
|
| 521 |
+
"grad_norm": 0.4898715913295746,
|
| 522 |
+
"learning_rate": 7.254387703447154e-05,
|
| 523 |
+
"loss": 0.6114,
|
| 524 |
+
"step": 104
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 18.90909090909091,
|
| 528 |
+
"eval_loss": 1.1067150831222534,
|
| 529 |
+
"eval_runtime": 24.9953,
|
| 530 |
+
"eval_samples_per_second": 0.96,
|
| 531 |
+
"eval_steps_per_second": 0.96,
|
| 532 |
+
"step": 104
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 19.272727272727273,
|
| 536 |
+
"grad_norm": 0.4548497796058655,
|
| 537 |
+
"learning_rate": 7.128896457825364e-05,
|
| 538 |
+
"loss": 0.5898,
|
| 539 |
+
"step": 106
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 19.636363636363637,
|
| 543 |
+
"grad_norm": 0.4812833368778229,
|
| 544 |
+
"learning_rate": 7.001745162784477e-05,
|
| 545 |
+
"loss": 0.5549,
|
| 546 |
+
"step": 108
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 20.0,
|
| 550 |
+
"grad_norm": 0.5569318532943726,
|
| 551 |
+
"learning_rate": 6.873032967079561e-05,
|
| 552 |
+
"loss": 0.591,
|
| 553 |
+
"step": 110
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 20.0,
|
| 557 |
+
"eval_loss": 1.133439064025879,
|
| 558 |
+
"eval_runtime": 24.9952,
|
| 559 |
+
"eval_samples_per_second": 0.96,
|
| 560 |
+
"eval_steps_per_second": 0.96,
|
| 561 |
+
"step": 110
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 20.0,
|
| 565 |
+
"step": 110,
|
| 566 |
+
"total_flos": 1.7419861205660467e+17,
|
| 567 |
+
"train_loss": 0.9589717778292569,
|
| 568 |
+
"train_runtime": 6212.9293,
|
| 569 |
+
"train_samples_per_second": 0.708,
|
| 570 |
+
"train_steps_per_second": 0.04
|
| 571 |
+
}
|
| 572 |
+
],
|
| 573 |
+
"logging_steps": 2,
|
| 574 |
+
"max_steps": 250,
|
| 575 |
+
"num_input_tokens_seen": 0,
|
| 576 |
+
"num_train_epochs": 50,
|
| 577 |
+
"save_steps": 25,
|
| 578 |
+
"stateful_callbacks": {
|
| 579 |
+
"EarlyStoppingCallback": {
|
| 580 |
+
"args": {
|
| 581 |
+
"early_stopping_patience": 7,
|
| 582 |
+
"early_stopping_threshold": 0.0
|
| 583 |
+
},
|
| 584 |
+
"attributes": {
|
| 585 |
+
"early_stopping_patience_counter": 0
|
| 586 |
+
}
|
| 587 |
+
},
|
| 588 |
+
"TrainerControl": {
|
| 589 |
+
"args": {
|
| 590 |
+
"should_epoch_stop": false,
|
| 591 |
+
"should_evaluate": false,
|
| 592 |
+
"should_log": false,
|
| 593 |
+
"should_save": true,
|
| 594 |
+
"should_training_stop": true
|
| 595 |
+
},
|
| 596 |
+
"attributes": {}
|
| 597 |
+
}
|
| 598 |
+
},
|
| 599 |
+
"total_flos": 1.7419861205660467e+17,
|
| 600 |
+
"train_batch_size": 1,
|
| 601 |
+
"trial_name": null,
|
| 602 |
+
"trial_params": null
|
| 603 |
+
}
|