|
--- |
|
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
|
datasets: |
|
- GaetanMichelet/chat-60_ft_task-2 |
|
library_name: peft |
|
license: llama3.1 |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: Llama-31-8B_task-2_60-samples_config-4 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Llama-31-8B_task-2_60-samples_config-4 |
|
|
|
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 GaetanMichelet/chat-60_ft_task-2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7166 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 150 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-------:|:----:|:---------------:| |
|
| 1.0749 | 0.6957 | 2 | 1.0966 | |
|
| 1.0739 | 1.7391 | 5 | 1.0942 | |
|
| 1.0883 | 2.7826 | 8 | 1.0905 | |
|
| 1.0572 | 3.8261 | 11 | 1.0844 | |
|
| 1.0814 | 4.8696 | 14 | 1.0741 | |
|
| 1.0423 | 5.9130 | 17 | 1.0622 | |
|
| 1.0626 | 6.9565 | 20 | 1.0462 | |
|
| 1.0118 | 8.0 | 23 | 1.0248 | |
|
| 1.0176 | 8.6957 | 25 | 1.0099 | |
|
| 0.9728 | 9.7391 | 28 | 0.9822 | |
|
| 0.9567 | 10.7826 | 31 | 0.9527 | |
|
| 0.9202 | 11.8261 | 34 | 0.9259 | |
|
| 0.9099 | 12.8696 | 37 | 0.9015 | |
|
| 0.8806 | 13.9130 | 40 | 0.8828 | |
|
| 0.7975 | 14.9565 | 43 | 0.8661 | |
|
| 0.8572 | 16.0 | 46 | 0.8533 | |
|
| 0.8342 | 16.6957 | 48 | 0.8447 | |
|
| 0.8242 | 17.7391 | 51 | 0.8331 | |
|
| 0.7954 | 18.7826 | 54 | 0.8223 | |
|
| 0.8235 | 19.8261 | 57 | 0.8122 | |
|
| 0.7896 | 20.8696 | 60 | 0.8017 | |
|
| 0.7775 | 21.9130 | 63 | 0.7933 | |
|
| 0.7315 | 22.9565 | 66 | 0.7862 | |
|
| 0.7702 | 24.0 | 69 | 0.7800 | |
|
| 0.7262 | 24.6957 | 71 | 0.7756 | |
|
| 0.7683 | 25.7391 | 74 | 0.7715 | |
|
| 0.7043 | 26.7826 | 77 | 0.7656 | |
|
| 0.7314 | 27.8261 | 80 | 0.7621 | |
|
| 0.7093 | 28.8696 | 83 | 0.7586 | |
|
| 0.7047 | 29.9130 | 86 | 0.7542 | |
|
| 0.707 | 30.9565 | 89 | 0.7506 | |
|
| 0.7128 | 32.0 | 92 | 0.7475 | |
|
| 0.676 | 32.6957 | 94 | 0.7451 | |
|
| 0.7113 | 33.7391 | 97 | 0.7420 | |
|
| 0.6733 | 34.7826 | 100 | 0.7396 | |
|
| 0.698 | 35.8261 | 103 | 0.7370 | |
|
| 0.6868 | 36.8696 | 106 | 0.7339 | |
|
| 0.6633 | 37.9130 | 109 | 0.7310 | |
|
| 0.675 | 38.9565 | 112 | 0.7296 | |
|
| 0.6563 | 40.0 | 115 | 0.7270 | |
|
| 0.64 | 40.6957 | 117 | 0.7257 | |
|
| 0.6314 | 41.7391 | 120 | 0.7242 | |
|
| 0.619 | 42.7826 | 123 | 0.7225 | |
|
| 0.6256 | 43.8261 | 126 | 0.7211 | |
|
| 0.634 | 44.8696 | 129 | 0.7198 | |
|
| 0.5984 | 45.9130 | 132 | 0.7185 | |
|
| 0.636 | 46.9565 | 135 | 0.7176 | |
|
| 0.6084 | 48.0 | 138 | 0.7173 | |
|
| 0.6068 | 48.6957 | 140 | 0.7168 | |
|
| 0.5982 | 49.7391 | 143 | 0.7166 | |
|
| 0.6024 | 50.7826 | 146 | 0.7171 | |
|
| 0.5876 | 51.8261 | 149 | 0.7170 | |
|
| 0.5852 | 52.8696 | 152 | 0.7169 | |
|
| 0.5803 | 53.9130 | 155 | 0.7175 | |
|
| 0.5794 | 54.9565 | 158 | 0.7172 | |
|
| 0.5699 | 56.0 | 161 | 0.7188 | |
|
| 0.5722 | 56.6957 | 163 | 0.7192 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
