Commit
•
defacaa
1
Parent(s):
b158f3b
Model save
Browse files- README.md +86 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +451 -0
README.md
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-1_60-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-1_60-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 an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.9046
|
| 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 |
+
| 2.2096 | 0.6957 | 2 | 2.1129 |
|
| 57 |
+
| 2.167 | 1.7391 | 5 | 1.9558 |
|
| 58 |
+
| 1.8726 | 2.7826 | 8 | 1.7428 |
|
| 59 |
+
| 1.7678 | 3.8261 | 11 | 1.5017 |
|
| 60 |
+
| 1.3895 | 4.8696 | 14 | 1.2525 |
|
| 61 |
+
| 1.234 | 5.9130 | 17 | 1.0325 |
|
| 62 |
+
| 0.9378 | 6.9565 | 20 | 0.9271 |
|
| 63 |
+
| 0.8782 | 8.0 | 23 | 0.8920 |
|
| 64 |
+
| 0.8394 | 8.6957 | 25 | 0.8784 |
|
| 65 |
+
| 0.7845 | 9.7391 | 28 | 0.8647 |
|
| 66 |
+
| 0.7863 | 10.7826 | 31 | 0.8503 |
|
| 67 |
+
| 0.7261 | 11.8261 | 34 | 0.8417 |
|
| 68 |
+
| 0.7333 | 12.8696 | 37 | 0.8337 |
|
| 69 |
+
| 0.6709 | 13.9130 | 40 | 0.8289 |
|
| 70 |
+
| 0.6612 | 14.9565 | 43 | 0.8270 |
|
| 71 |
+
| 0.6253 | 16.0 | 46 | 0.8289 |
|
| 72 |
+
| 0.6012 | 16.6957 | 48 | 0.8323 |
|
| 73 |
+
| 0.5792 | 17.7391 | 51 | 0.8385 |
|
| 74 |
+
| 0.5162 | 18.7826 | 54 | 0.8561 |
|
| 75 |
+
| 0.5219 | 19.8261 | 57 | 0.8603 |
|
| 76 |
+
| 0.445 | 20.8696 | 60 | 0.8802 |
|
| 77 |
+
| 0.4396 | 21.9130 | 63 | 0.9046 |
|
| 78 |
+
|
| 79 |
+
|
| 80 |
+
### Framework versions
|
| 81 |
+
|
| 82 |
+
- PEFT 0.12.0
|
| 83 |
+
- Transformers 4.44.0
|
| 84 |
+
- Pytorch 2.1.2+cu121
|
| 85 |
+
- Datasets 2.20.0
|
| 86 |
+
- 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:ce548d468064303478137094d348daa1f654bef33d86f1a234659dc09ad38824
|
| 3 |
size 167832240
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 21.91304347826087,
|
| 3 |
+
"total_flos": 1.6617387570757632e+16,
|
| 4 |
+
"train_loss": 0.9590450813845982,
|
| 5 |
+
"train_runtime": 1220.0386,
|
| 6 |
+
"train_samples": 46,
|
| 7 |
+
"train_samples_per_second": 1.885,
|
| 8 |
+
"train_steps_per_second": 0.082
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 21.91304347826087,
|
| 3 |
+
"total_flos": 1.6617387570757632e+16,
|
| 4 |
+
"train_loss": 0.9590450813845982,
|
| 5 |
+
"train_runtime": 1220.0386,
|
| 6 |
+
"train_samples": 46,
|
| 7 |
+
"train_samples_per_second": 1.885,
|
| 8 |
+
"train_steps_per_second": 0.082
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,451 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8270444869995117,
|
| 3 |
+
"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-2_full_auto/checkpoint-43",
|
| 4 |
+
"epoch": 21.91304347826087,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 63,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.34782608695652173,
|
| 13 |
+
"grad_norm": 1.8296887874603271,
|
| 14 |
+
"learning_rate": 1e-05,
|
| 15 |
+
"loss": 2.2067,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.6956521739130435,
|
| 20 |
+
"grad_norm": 1.8122031688690186,
|
| 21 |
+
"learning_rate": 2e-05,
|
| 22 |
+
"loss": 2.2096,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.6956521739130435,
|
| 27 |
+
"eval_loss": 2.1129257678985596,
|
| 28 |
+
"eval_runtime": 5.0286,
|
| 29 |
+
"eval_samples_per_second": 2.386,
|
| 30 |
+
"eval_steps_per_second": 2.386,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.391304347826087,
|
| 35 |
+
"grad_norm": 1.456130862236023,
|
| 36 |
+
"learning_rate": 4e-05,
|
| 37 |
+
"loss": 2.167,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.7391304347826086,
|
| 42 |
+
"eval_loss": 1.9557948112487793,
|
| 43 |
+
"eval_runtime": 5.028,
|
| 44 |
+
"eval_samples_per_second": 2.387,
|
| 45 |
+
"eval_steps_per_second": 2.387,
|
| 46 |
+
"step": 5
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0869565217391304,
|
| 50 |
+
"grad_norm": 1.2667176723480225,
|
| 51 |
+
"learning_rate": 6e-05,
|
| 52 |
+
"loss": 2.0722,
|
| 53 |
+
"step": 6
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 2.782608695652174,
|
| 57 |
+
"grad_norm": 0.9311268925666809,
|
| 58 |
+
"learning_rate": 8e-05,
|
| 59 |
+
"loss": 1.8726,
|
| 60 |
+
"step": 8
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.782608695652174,
|
| 64 |
+
"eval_loss": 1.7428107261657715,
|
| 65 |
+
"eval_runtime": 5.0288,
|
| 66 |
+
"eval_samples_per_second": 2.386,
|
| 67 |
+
"eval_steps_per_second": 2.386,
|
| 68 |
+
"step": 8
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 3.4782608695652173,
|
| 72 |
+
"grad_norm": 1.2152765989303589,
|
| 73 |
+
"learning_rate": 0.0001,
|
| 74 |
+
"loss": 1.7678,
|
| 75 |
+
"step": 10
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 3.8260869565217392,
|
| 79 |
+
"eval_loss": 1.5016740560531616,
|
| 80 |
+
"eval_runtime": 5.0523,
|
| 81 |
+
"eval_samples_per_second": 2.375,
|
| 82 |
+
"eval_steps_per_second": 2.375,
|
| 83 |
+
"step": 11
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 4.173913043478261,
|
| 87 |
+
"grad_norm": 0.8071852326393127,
|
| 88 |
+
"learning_rate": 9.987820251299122e-05,
|
| 89 |
+
"loss": 1.5772,
|
| 90 |
+
"step": 12
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 4.869565217391305,
|
| 94 |
+
"grad_norm": 0.8298630714416504,
|
| 95 |
+
"learning_rate": 9.951340343707852e-05,
|
| 96 |
+
"loss": 1.3895,
|
| 97 |
+
"step": 14
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 4.869565217391305,
|
| 101 |
+
"eval_loss": 1.252468466758728,
|
| 102 |
+
"eval_runtime": 5.0279,
|
| 103 |
+
"eval_samples_per_second": 2.387,
|
| 104 |
+
"eval_steps_per_second": 2.387,
|
| 105 |
+
"step": 14
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 5.565217391304348,
|
| 109 |
+
"grad_norm": 0.8688008785247803,
|
| 110 |
+
"learning_rate": 9.890738003669029e-05,
|
| 111 |
+
"loss": 1.234,
|
| 112 |
+
"step": 16
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 5.913043478260869,
|
| 116 |
+
"eval_loss": 1.0325278043746948,
|
| 117 |
+
"eval_runtime": 5.0226,
|
| 118 |
+
"eval_samples_per_second": 2.389,
|
| 119 |
+
"eval_steps_per_second": 2.389,
|
| 120 |
+
"step": 17
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 6.260869565217392,
|
| 124 |
+
"grad_norm": 0.7937119007110596,
|
| 125 |
+
"learning_rate": 9.806308479691595e-05,
|
| 126 |
+
"loss": 1.021,
|
| 127 |
+
"step": 18
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 6.956521739130435,
|
| 131 |
+
"grad_norm": 0.5331211090087891,
|
| 132 |
+
"learning_rate": 9.698463103929542e-05,
|
| 133 |
+
"loss": 0.9378,
|
| 134 |
+
"step": 20
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 6.956521739130435,
|
| 138 |
+
"eval_loss": 0.9270639419555664,
|
| 139 |
+
"eval_runtime": 5.0239,
|
| 140 |
+
"eval_samples_per_second": 2.389,
|
| 141 |
+
"eval_steps_per_second": 2.389,
|
| 142 |
+
"step": 20
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 7.6521739130434785,
|
| 146 |
+
"grad_norm": 0.393255352973938,
|
| 147 |
+
"learning_rate": 9.567727288213005e-05,
|
| 148 |
+
"loss": 0.8782,
|
| 149 |
+
"step": 22
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 8.0,
|
| 153 |
+
"eval_loss": 0.8919858932495117,
|
| 154 |
+
"eval_runtime": 5.0253,
|
| 155 |
+
"eval_samples_per_second": 2.388,
|
| 156 |
+
"eval_steps_per_second": 2.388,
|
| 157 |
+
"step": 23
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 8.347826086956522,
|
| 161 |
+
"grad_norm": 0.3337656855583191,
|
| 162 |
+
"learning_rate": 9.414737964294636e-05,
|
| 163 |
+
"loss": 0.8394,
|
| 164 |
+
"step": 24
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 8.695652173913043,
|
| 168 |
+
"eval_loss": 0.8783631920814514,
|
| 169 |
+
"eval_runtime": 5.0242,
|
| 170 |
+
"eval_samples_per_second": 2.388,
|
| 171 |
+
"eval_steps_per_second": 2.388,
|
| 172 |
+
"step": 25
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 9.043478260869565,
|
| 176 |
+
"grad_norm": 0.3544324040412903,
|
| 177 |
+
"learning_rate": 9.24024048078213e-05,
|
| 178 |
+
"loss": 0.838,
|
| 179 |
+
"step": 26
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 9.73913043478261,
|
| 183 |
+
"grad_norm": 0.34565308690071106,
|
| 184 |
+
"learning_rate": 9.045084971874738e-05,
|
| 185 |
+
"loss": 0.7845,
|
| 186 |
+
"step": 28
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 9.73913043478261,
|
| 190 |
+
"eval_loss": 0.8646710515022278,
|
| 191 |
+
"eval_runtime": 5.0272,
|
| 192 |
+
"eval_samples_per_second": 2.387,
|
| 193 |
+
"eval_steps_per_second": 2.387,
|
| 194 |
+
"step": 28
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 10.434782608695652,
|
| 198 |
+
"grad_norm": 0.3286716938018799,
|
| 199 |
+
"learning_rate": 8.83022221559489e-05,
|
| 200 |
+
"loss": 0.7863,
|
| 201 |
+
"step": 30
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 10.782608695652174,
|
| 205 |
+
"eval_loss": 0.8503349423408508,
|
| 206 |
+
"eval_runtime": 5.0295,
|
| 207 |
+
"eval_samples_per_second": 2.386,
|
| 208 |
+
"eval_steps_per_second": 2.386,
|
| 209 |
+
"step": 31
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 11.130434782608695,
|
| 213 |
+
"grad_norm": 0.34742411971092224,
|
| 214 |
+
"learning_rate": 8.596699001693255e-05,
|
| 215 |
+
"loss": 0.782,
|
| 216 |
+
"step": 32
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 11.826086956521738,
|
| 220 |
+
"grad_norm": 0.3356003165245056,
|
| 221 |
+
"learning_rate": 8.345653031794292e-05,
|
| 222 |
+
"loss": 0.7261,
|
| 223 |
+
"step": 34
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 11.826086956521738,
|
| 227 |
+
"eval_loss": 0.841669499874115,
|
| 228 |
+
"eval_runtime": 5.0281,
|
| 229 |
+
"eval_samples_per_second": 2.387,
|
| 230 |
+
"eval_steps_per_second": 2.387,
|
| 231 |
+
"step": 34
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 12.521739130434783,
|
| 235 |
+
"grad_norm": 0.32681888341903687,
|
| 236 |
+
"learning_rate": 8.07830737662829e-05,
|
| 237 |
+
"loss": 0.7333,
|
| 238 |
+
"step": 36
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 12.869565217391305,
|
| 242 |
+
"eval_loss": 0.8337127566337585,
|
| 243 |
+
"eval_runtime": 5.0271,
|
| 244 |
+
"eval_samples_per_second": 2.387,
|
| 245 |
+
"eval_steps_per_second": 2.387,
|
| 246 |
+
"step": 37
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 13.217391304347826,
|
| 250 |
+
"grad_norm": 0.40883421897888184,
|
| 251 |
+
"learning_rate": 7.795964517353735e-05,
|
| 252 |
+
"loss": 0.6964,
|
| 253 |
+
"step": 38
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 13.91304347826087,
|
| 257 |
+
"grad_norm": 0.38553422689437866,
|
| 258 |
+
"learning_rate": 7.500000000000001e-05,
|
| 259 |
+
"loss": 0.6709,
|
| 260 |
+
"step": 40
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 13.91304347826087,
|
| 264 |
+
"eval_loss": 0.8288694024085999,
|
| 265 |
+
"eval_runtime": 5.0387,
|
| 266 |
+
"eval_samples_per_second": 2.382,
|
| 267 |
+
"eval_steps_per_second": 2.382,
|
| 268 |
+
"step": 40
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 14.608695652173914,
|
| 272 |
+
"grad_norm": 0.39506804943084717,
|
| 273 |
+
"learning_rate": 7.191855733945387e-05,
|
| 274 |
+
"loss": 0.6612,
|
| 275 |
+
"step": 42
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 14.956521739130435,
|
| 279 |
+
"eval_loss": 0.8270444869995117,
|
| 280 |
+
"eval_runtime": 5.0342,
|
| 281 |
+
"eval_samples_per_second": 2.384,
|
| 282 |
+
"eval_steps_per_second": 2.384,
|
| 283 |
+
"step": 43
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 15.304347826086957,
|
| 287 |
+
"grad_norm": 0.41430413722991943,
|
| 288 |
+
"learning_rate": 6.873032967079561e-05,
|
| 289 |
+
"loss": 0.6248,
|
| 290 |
+
"step": 44
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 16.0,
|
| 294 |
+
"grad_norm": 0.5096813440322876,
|
| 295 |
+
"learning_rate": 6.545084971874738e-05,
|
| 296 |
+
"loss": 0.6253,
|
| 297 |
+
"step": 46
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 16.0,
|
| 301 |
+
"eval_loss": 0.8288677334785461,
|
| 302 |
+
"eval_runtime": 5.0231,
|
| 303 |
+
"eval_samples_per_second": 2.389,
|
| 304 |
+
"eval_steps_per_second": 2.389,
|
| 305 |
+
"step": 46
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 16.695652173913043,
|
| 309 |
+
"grad_norm": 0.5710862874984741,
|
| 310 |
+
"learning_rate": 6.209609477998338e-05,
|
| 311 |
+
"loss": 0.6012,
|
| 312 |
+
"step": 48
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 16.695652173913043,
|
| 316 |
+
"eval_loss": 0.8323108553886414,
|
| 317 |
+
"eval_runtime": 5.0271,
|
| 318 |
+
"eval_samples_per_second": 2.387,
|
| 319 |
+
"eval_steps_per_second": 2.387,
|
| 320 |
+
"step": 48
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 17.391304347826086,
|
| 324 |
+
"grad_norm": 0.5608723759651184,
|
| 325 |
+
"learning_rate": 5.868240888334653e-05,
|
| 326 |
+
"loss": 0.5792,
|
| 327 |
+
"step": 50
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 17.73913043478261,
|
| 331 |
+
"eval_loss": 0.83847576379776,
|
| 332 |
+
"eval_runtime": 5.0311,
|
| 333 |
+
"eval_samples_per_second": 2.385,
|
| 334 |
+
"eval_steps_per_second": 2.385,
|
| 335 |
+
"step": 51
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 18.08695652173913,
|
| 339 |
+
"grad_norm": 0.6590730547904968,
|
| 340 |
+
"learning_rate": 5.522642316338268e-05,
|
| 341 |
+
"loss": 0.5196,
|
| 342 |
+
"step": 52
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 18.782608695652176,
|
| 346 |
+
"grad_norm": 0.6217765212059021,
|
| 347 |
+
"learning_rate": 5.174497483512506e-05,
|
| 348 |
+
"loss": 0.5162,
|
| 349 |
+
"step": 54
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 18.782608695652176,
|
| 353 |
+
"eval_loss": 0.8560710549354553,
|
| 354 |
+
"eval_runtime": 5.0295,
|
| 355 |
+
"eval_samples_per_second": 2.386,
|
| 356 |
+
"eval_steps_per_second": 2.386,
|
| 357 |
+
"step": 54
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 19.47826086956522,
|
| 361 |
+
"grad_norm": 0.6448721289634705,
|
| 362 |
+
"learning_rate": 4.825502516487497e-05,
|
| 363 |
+
"loss": 0.5219,
|
| 364 |
+
"step": 56
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 19.82608695652174,
|
| 368 |
+
"eval_loss": 0.8603215217590332,
|
| 369 |
+
"eval_runtime": 5.0413,
|
| 370 |
+
"eval_samples_per_second": 2.38,
|
| 371 |
+
"eval_steps_per_second": 2.38,
|
| 372 |
+
"step": 57
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 20.17391304347826,
|
| 376 |
+
"grad_norm": 0.6627869009971619,
|
| 377 |
+
"learning_rate": 4.477357683661734e-05,
|
| 378 |
+
"loss": 0.4583,
|
| 379 |
+
"step": 58
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 20.869565217391305,
|
| 383 |
+
"grad_norm": 0.675813615322113,
|
| 384 |
+
"learning_rate": 4.131759111665349e-05,
|
| 385 |
+
"loss": 0.445,
|
| 386 |
+
"step": 60
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 20.869565217391305,
|
| 390 |
+
"eval_loss": 0.8802428245544434,
|
| 391 |
+
"eval_runtime": 5.0363,
|
| 392 |
+
"eval_samples_per_second": 2.383,
|
| 393 |
+
"eval_steps_per_second": 2.383,
|
| 394 |
+
"step": 60
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 21.565217391304348,
|
| 398 |
+
"grad_norm": 0.5834102034568787,
|
| 399 |
+
"learning_rate": 3.790390522001662e-05,
|
| 400 |
+
"loss": 0.4396,
|
| 401 |
+
"step": 62
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 21.91304347826087,
|
| 405 |
+
"eval_loss": 0.9046290516853333,
|
| 406 |
+
"eval_runtime": 5.0326,
|
| 407 |
+
"eval_samples_per_second": 2.384,
|
| 408 |
+
"eval_steps_per_second": 2.384,
|
| 409 |
+
"step": 63
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 21.91304347826087,
|
| 413 |
+
"step": 63,
|
| 414 |
+
"total_flos": 1.6617387570757632e+16,
|
| 415 |
+
"train_loss": 0.9590450813845982,
|
| 416 |
+
"train_runtime": 1220.0386,
|
| 417 |
+
"train_samples_per_second": 1.885,
|
| 418 |
+
"train_steps_per_second": 0.082
|
| 419 |
+
}
|
| 420 |
+
],
|
| 421 |
+
"logging_steps": 2,
|
| 422 |
+
"max_steps": 100,
|
| 423 |
+
"num_input_tokens_seen": 0,
|
| 424 |
+
"num_train_epochs": 50,
|
| 425 |
+
"save_steps": 25,
|
| 426 |
+
"stateful_callbacks": {
|
| 427 |
+
"EarlyStoppingCallback": {
|
| 428 |
+
"args": {
|
| 429 |
+
"early_stopping_patience": 7,
|
| 430 |
+
"early_stopping_threshold": 0.0
|
| 431 |
+
},
|
| 432 |
+
"attributes": {
|
| 433 |
+
"early_stopping_patience_counter": 0
|
| 434 |
+
}
|
| 435 |
+
},
|
| 436 |
+
"TrainerControl": {
|
| 437 |
+
"args": {
|
| 438 |
+
"should_epoch_stop": false,
|
| 439 |
+
"should_evaluate": false,
|
| 440 |
+
"should_log": false,
|
| 441 |
+
"should_save": true,
|
| 442 |
+
"should_training_stop": true
|
| 443 |
+
},
|
| 444 |
+
"attributes": {}
|
| 445 |
+
}
|
| 446 |
+
},
|
| 447 |
+
"total_flos": 1.6617387570757632e+16,
|
| 448 |
+
"train_batch_size": 1,
|
| 449 |
+
"trial_name": null,
|
| 450 |
+
"trial_params": null
|
| 451 |
+
}
|