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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
- GaetanMichelet/chat-180_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_180-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-3_180-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-3, the GaetanMichelet/chat-120_ft_task-3 and the GaetanMichelet/chat-180_ft_task-3 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4942
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.5495 | 0.9412 | 8 | 2.5077 |
| 2.3733 | 2.0 | 17 | 2.4775 |
| 2.46 | 2.9412 | 25 | 2.4218 |
| 2.4585 | 4.0 | 34 | 2.3278 |
| 2.2624 | 4.9412 | 42 | 2.1919 |
| 2.0553 | 6.0 | 51 | 1.9704 |
| 1.7403 | 6.9412 | 59 | 1.7066 |
| 1.3756 | 8.0 | 68 | 1.3617 |
| 1.11 | 8.9412 | 76 | 1.0613 |
| 0.7161 | 10.0 | 85 | 0.7772 |
| 0.7609 | 10.9412 | 93 | 0.6787 |
| 0.4358 | 12.0 | 102 | 0.6182 |
| 0.4774 | 12.9412 | 110 | 0.5912 |
| 0.5569 | 14.0 | 119 | 0.5746 |
| 0.427 | 14.9412 | 127 | 0.5487 |
| 0.4672 | 16.0 | 136 | 0.5339 |
| 0.3495 | 16.9412 | 144 | 0.5525 |
| 0.4731 | 18.0 | 153 | 0.5323 |
| 0.3913 | 18.9412 | 161 | 0.5243 |
| 0.5624 | 20.0 | 170 | 0.5253 |
| 0.4684 | 20.9412 | 178 | 0.5222 |
| 0.3029 | 22.0 | 187 | 0.5100 |
| 0.3522 | 22.9412 | 195 | 0.5085 |
| 0.3855 | 24.0 | 204 | 0.4971 |
| 0.317 | 24.9412 | 212 | 0.5049 |
| 0.338 | 26.0 | 221 | 0.5016 |
| 0.391 | 26.9412 | 229 | 0.4942 |
| 0.3964 | 28.0 | 238 | 0.5010 |
| 0.2951 | 28.9412 | 246 | 0.5098 |
| 0.4021 | 30.0 | 255 | 0.5068 |
| 0.4021 | 30.9412 | 263 | 0.5070 |
| 0.3456 | 32.0 | 272 | 0.5025 |
| 0.4431 | 32.9412 | 280 | 0.5050 |
| 0.4131 | 34.0 | 289 | 0.5094 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |