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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3
- GaetanMichelet/chat-120_ft_task-3
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_120-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-3_120-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-3 and the GaetanMichelet/chat-120_ft_task-3 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4408
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3729 | 1.0 | 11 | 2.4972 |
| 2.6938 | 2.0 | 22 | 2.4571 |
| 2.6474 | 3.0 | 33 | 2.3881 |
| 2.2763 | 4.0 | 44 | 2.2642 |
| 2.0268 | 5.0 | 55 | 2.0694 |
| 1.7309 | 6.0 | 66 | 1.7871 |
| 1.4481 | 7.0 | 77 | 1.4330 |
| 1.0554 | 8.0 | 88 | 1.0675 |
| 0.8392 | 9.0 | 99 | 0.7563 |
| 0.4685 | 10.0 | 110 | 0.6437 |
| 0.3588 | 11.0 | 121 | 0.5851 |
| 0.6319 | 12.0 | 132 | 0.5407 |
| 0.4211 | 13.0 | 143 | 0.5248 |
| 0.495 | 14.0 | 154 | 0.5127 |
| 0.4232 | 15.0 | 165 | 0.5019 |
| 0.496 | 16.0 | 176 | 0.5103 |
| 0.3903 | 17.0 | 187 | 0.4814 |
| 0.331 | 18.0 | 198 | 0.4913 |
| 0.2403 | 19.0 | 209 | 0.4869 |
| 0.3563 | 20.0 | 220 | 0.4718 |
| 0.4107 | 21.0 | 231 | 0.4596 |
| 0.2631 | 22.0 | 242 | 0.4478 |
| 0.4212 | 23.0 | 253 | 0.4496 |
| 0.3304 | 24.0 | 264 | 0.4408 |
| 0.3296 | 25.0 | 275 | 0.4437 |
| 0.3266 | 26.0 | 286 | 0.4441 |
| 0.1403 | 27.0 | 297 | 0.4496 |
| 0.1732 | 28.0 | 308 | 0.4574 |
| 0.1797 | 29.0 | 319 | 0.4809 |
| 0.1355 | 30.0 | 330 | 0.4990 |
| 0.1346 | 31.0 | 341 | 0.5313 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |