---
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
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# 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