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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-1
- GaetanMichelet/chat-120_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_120-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-1_120-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-1 and the GaetanMichelet/chat-120_ft_task-1 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.2635
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.121 | 0.9091 | 5 | 2.1020 |
| 2.0709 | 2.0 | 11 | 2.0931 |
| 2.0454 | 2.9091 | 16 | 2.0755 |
| 2.0502 | 4.0 | 22 | 2.0472 |
| 2.0511 | 4.9091 | 27 | 2.0100 |
| 1.9554 | 6.0 | 33 | 1.9472 |
| 1.8921 | 6.9091 | 38 | 1.8795 |
| 1.8104 | 8.0 | 44 | 1.7813 |
| 1.7636 | 8.9091 | 49 | 1.6937 |
| 1.6011 | 10.0 | 55 | 1.6142 |
| 1.5128 | 10.9091 | 60 | 1.5751 |
| 1.4277 | 12.0 | 66 | 1.5353 |
| 1.4998 | 12.9091 | 71 | 1.5001 |
| 1.4154 | 14.0 | 77 | 1.4583 |
| 1.4201 | 14.9091 | 82 | 1.4252 |
| 1.3364 | 16.0 | 88 | 1.3921 |
| 1.2762 | 16.9091 | 93 | 1.3691 |
| 1.2851 | 18.0 | 99 | 1.3437 |
| 1.2239 | 18.9091 | 104 | 1.3261 |
| 1.221 | 20.0 | 110 | 1.3084 |
| 1.2011 | 20.9091 | 115 | 1.2951 |
| 1.1433 | 22.0 | 121 | 1.2824 |
| 1.1579 | 22.9091 | 126 | 1.2746 |
| 1.0871 | 24.0 | 132 | 1.2680 |
| 1.0745 | 24.9091 | 137 | 1.2635 |
| 1.0006 | 26.0 | 143 | 1.2674 |
| 0.9628 | 26.9091 | 148 | 1.2689 |
| 0.9237 | 28.0 | 154 | 1.2717 |
| 0.8824 | 28.9091 | 159 | 1.2880 |
| 0.8706 | 30.0 | 165 | 1.2961 |
| 0.8328 | 30.9091 | 170 | 1.3266 |
| 0.7667 | 32.0 | 176 | 1.3447 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |