---
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-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_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-3 and the GaetanMichelet/chat-120_ft_task-3 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4427

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4707        | 0.9091  | 5    | 2.5024          |
| 2.3847        | 2.0     | 11   | 2.4794          |
| 2.5822        | 2.9091  | 16   | 2.4506          |
| 2.2635        | 4.0     | 22   | 2.3903          |
| 2.446         | 4.9091  | 27   | 2.3184          |
| 2.3172        | 6.0     | 33   | 2.1938          |
| 2.0582        | 6.9091  | 38   | 2.0560          |
| 1.9038        | 8.0     | 44   | 1.8385          |
| 1.7291        | 8.9091  | 49   | 1.6252          |
| 1.3996        | 10.0    | 55   | 1.3456          |
| 1.1127        | 10.9091 | 60   | 1.1189          |
| 0.8648        | 12.0    | 66   | 0.8627          |
| 0.8247        | 12.9091 | 71   | 0.7228          |
| 0.5681        | 14.0    | 77   | 0.6453          |
| 0.4968        | 14.9091 | 82   | 0.6020          |
| 0.589         | 16.0    | 88   | 0.5632          |
| 0.3902        | 16.9091 | 93   | 0.5394          |
| 0.4795        | 18.0    | 99   | 0.5253          |
| 0.3937        | 18.9091 | 104  | 0.5188          |
| 0.3482        | 20.0    | 110  | 0.5149          |
| 0.4633        | 20.9091 | 115  | 0.5076          |
| 0.4324        | 22.0    | 121  | 0.5073          |
| 0.5268        | 22.9091 | 126  | 0.5014          |
| 0.3829        | 24.0    | 132  | 0.4946          |
| 0.3884        | 24.9091 | 137  | 0.4875          |
| 0.3955        | 26.0    | 143  | 0.4859          |
| 0.3296        | 26.9091 | 148  | 0.4827          |
| 0.364         | 28.0    | 154  | 0.4805          |
| 0.3218        | 28.9091 | 159  | 0.4765          |
| 0.2995        | 30.0    | 165  | 0.4727          |
| 0.3728        | 30.9091 | 170  | 0.4668          |
| 0.2413        | 32.0    | 176  | 0.4653          |
| 0.4141        | 32.9091 | 181  | 0.4626          |
| 0.3693        | 34.0    | 187  | 0.4562          |
| 0.3666        | 34.9091 | 192  | 0.4526          |
| 0.3605        | 36.0    | 198  | 0.4506          |
| 0.2923        | 36.9091 | 203  | 0.4474          |
| 0.3422        | 38.0    | 209  | 0.4443          |
| 0.3489        | 38.9091 | 214  | 0.4427          |
| 0.3737        | 40.0    | 220  | 0.4435          |
| 0.2804        | 40.9091 | 225  | 0.4437          |
| 0.3212        | 42.0    | 231  | 0.4469          |
| 0.2322        | 42.9091 | 236  | 0.4480          |
| 0.2569        | 44.0    | 242  | 0.4507          |
| 0.2501        | 44.9091 | 247  | 0.4544          |
| 0.2247        | 46.0    | 253  | 0.4641          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1