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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_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_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-3_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-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4657
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4489 | 0.8696 | 5 | 2.4703 |
| 2.4891 | 1.9130 | 11 | 2.4545 |
| 2.4697 | 2.9565 | 17 | 2.4172 |
| 2.5196 | 4.0 | 23 | 2.3543 |
| 2.4481 | 4.8696 | 28 | 2.2785 |
| 2.2925 | 5.9130 | 34 | 2.1509 |
| 2.0169 | 6.9565 | 40 | 1.9728 |
| 1.6364 | 8.0 | 46 | 1.7441 |
| 1.6047 | 8.8696 | 51 | 1.5192 |
| 1.3126 | 9.9130 | 57 | 1.2353 |
| 1.0406 | 10.9565 | 63 | 0.9674 |
| 0.8254 | 12.0 | 69 | 0.7402 |
| 0.7723 | 12.8696 | 74 | 0.6372 |
| 0.4327 | 13.9130 | 80 | 0.5750 |
| 0.279 | 14.9565 | 86 | 0.5313 |
| 0.4039 | 16.0 | 92 | 0.5047 |
| 0.5227 | 16.8696 | 97 | 0.4883 |
| 0.3704 | 17.9130 | 103 | 0.4936 |
| 0.497 | 18.9565 | 109 | 0.4907 |
| 0.4428 | 20.0 | 115 | 0.4828 |
| 0.3477 | 20.8696 | 120 | 0.4825 |
| 0.4628 | 21.9130 | 126 | 0.4857 |
| 0.367 | 22.9565 | 132 | 0.4827 |
| 0.2597 | 24.0 | 138 | 0.4768 |
| 0.3473 | 24.8696 | 143 | 0.4684 |
| 0.3795 | 25.9130 | 149 | 0.4657 |
| 0.437 | 26.9565 | 155 | 0.4706 |
| 0.3478 | 28.0 | 161 | 0.4760 |
| 0.254 | 28.8696 | 166 | 0.4745 |
| 0.3934 | 29.9130 | 172 | 0.4813 |
| 0.3074 | 30.9565 | 178 | 0.4815 |
| 0.3447 | 32.0 | 184 | 0.4823 |
| 0.225 | 32.8696 | 189 | 0.4865 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |