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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-1
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-1_60-samples_config-3
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-1_60-samples_config-3
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-1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2924
## 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: 8
- total_train_batch_size: 8
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.1691 | 0.8696 | 5 | 2.0741 |
| 2.0145 | 1.9130 | 11 | 2.0674 |
| 2.0918 | 2.9565 | 17 | 2.0492 |
| 2.0838 | 4.0 | 23 | 2.0192 |
| 2.0314 | 4.8696 | 28 | 1.9792 |
| 1.9775 | 5.9130 | 34 | 1.9190 |
| 1.8873 | 6.9565 | 40 | 1.8339 |
| 1.7547 | 8.0 | 46 | 1.7314 |
| 1.6653 | 8.8696 | 51 | 1.6435 |
| 1.5709 | 9.9130 | 57 | 1.5691 |
| 1.533 | 10.9565 | 63 | 1.5254 |
| 1.4035 | 12.0 | 69 | 1.4860 |
| 1.4227 | 12.8696 | 74 | 1.4573 |
| 1.4167 | 13.9130 | 80 | 1.4216 |
| 1.3733 | 14.9565 | 86 | 1.3884 |
| 1.2917 | 16.0 | 92 | 1.3621 |
| 1.2393 | 16.8696 | 97 | 1.3432 |
| 1.1512 | 17.9130 | 103 | 1.3246 |
| 1.1361 | 18.9565 | 109 | 1.3081 |
| 1.089 | 20.0 | 115 | 1.2985 |
| 1.0272 | 20.8696 | 120 | 1.2924 |
| 1.0591 | 21.9130 | 126 | 1.2934 |
| 0.9601 | 22.9565 | 132 | 1.3023 |
| 0.9245 | 24.0 | 138 | 1.3152 |
| 0.8188 | 24.8696 | 143 | 1.3258 |
| 0.8866 | 25.9130 | 149 | 1.3491 |
| 0.7508 | 26.9565 | 155 | 1.3779 |
| 0.7961 | 28.0 | 161 | 1.4176 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |