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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
- GaetanMichelet/chat-120_ft_task-2
- GaetanMichelet/chat-180_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_180-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-2_180-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-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.7140
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0365 | 1.0 | 17 | 1.1316 |
| 1.1746 | 2.0 | 34 | 1.1196 |
| 1.0933 | 3.0 | 51 | 1.0957 |
| 0.985 | 4.0 | 68 | 1.0540 |
| 0.9741 | 5.0 | 85 | 0.9950 |
| 1.0008 | 6.0 | 102 | 0.9377 |
| 0.8935 | 7.0 | 119 | 0.8939 |
| 0.8862 | 8.0 | 136 | 0.8579 |
| 0.8266 | 9.0 | 153 | 0.8294 |
| 0.7797 | 10.0 | 170 | 0.8075 |
| 0.8158 | 11.0 | 187 | 0.7903 |
| 0.6845 | 12.0 | 204 | 0.7742 |
| 0.6819 | 13.0 | 221 | 0.7598 |
| 0.7241 | 14.0 | 238 | 0.7472 |
| 0.695 | 15.0 | 255 | 0.7365 |
| 0.6982 | 16.0 | 272 | 0.7272 |
| 0.622 | 17.0 | 289 | 0.7215 |
| 0.5905 | 18.0 | 306 | 0.7156 |
| 0.6121 | 19.0 | 323 | 0.7140 |
| 0.567 | 20.0 | 340 | 0.7166 |
| 0.5471 | 21.0 | 357 | 0.7172 |
| 0.4761 | 22.0 | 374 | 0.7234 |
| 0.4967 | 23.0 | 391 | 0.7358 |
| 0.4833 | 24.0 | 408 | 0.7644 |
| 0.4071 | 25.0 | 425 | 0.8012 |
| 0.3567 | 26.0 | 442 | 0.8289 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |