---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-1_180-samples_config-4_full
  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_180-samples_config-4_full

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9228

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4745        | 0.9412  | 8    | 2.4335          |
| 2.4286        | 2.0     | 17   | 2.4114          |
| 2.419         | 2.9412  | 25   | 2.3814          |
| 2.3475        | 4.0     | 34   | 2.3262          |
| 2.3147        | 4.9412  | 42   | 2.2541          |
| 2.2214        | 6.0     | 51   | 2.1716          |
| 2.1097        | 6.9412  | 59   | 2.0745          |
| 1.9617        | 8.0     | 68   | 1.9479          |
| 1.908         | 8.9412  | 76   | 1.8375          |
| 1.7669        | 10.0    | 85   | 1.6953          |
| 1.6325        | 10.9412 | 93   | 1.5461          |
| 1.3201        | 12.0    | 102  | 1.3739          |
| 1.2477        | 12.9412 | 110  | 1.2331          |
| 1.163         | 14.0    | 119  | 1.1330          |
| 1.0579        | 14.9412 | 127  | 1.0861          |
| 1.0655        | 16.0    | 136  | 1.0611          |
| 0.9976        | 16.9412 | 144  | 1.0455          |
| 1.0285        | 18.0    | 153  | 1.0318          |
| 0.998         | 18.9412 | 161  | 1.0205          |
| 1.0038        | 20.0    | 170  | 1.0102          |
| 0.9907        | 20.9412 | 178  | 1.0020          |
| 0.9673        | 22.0    | 187  | 0.9929          |
| 0.95          | 22.9412 | 195  | 0.9870          |
| 0.9467        | 24.0    | 204  | 0.9801          |
| 0.9423        | 24.9412 | 212  | 0.9737          |
| 0.937         | 26.0    | 221  | 0.9675          |
| 0.9035        | 26.9412 | 229  | 0.9626          |
| 0.9074        | 28.0    | 238  | 0.9582          |
| 0.8944        | 28.9412 | 246  | 0.9534          |
| 0.8785        | 30.0    | 255  | 0.9493          |
| 0.8797        | 30.9412 | 263  | 0.9451          |
| 0.8764        | 32.0    | 272  | 0.9422          |
| 0.8903        | 32.9412 | 280  | 0.9389          |
| 0.8835        | 34.0    | 289  | 0.9377          |
| 0.8452        | 34.9412 | 297  | 0.9332          |
| 0.8777        | 36.0    | 306  | 0.9272          |
| 0.8101        | 36.9412 | 314  | 0.9257          |
| 0.8526        | 38.0    | 323  | 0.9229          |
| 0.8228        | 38.9412 | 331  | 0.9197          |
| 0.8066        | 40.0    | 340  | 0.9176          |
| 0.7701        | 40.9412 | 348  | 0.9199          |
| 0.8132        | 42.0    | 357  | 0.9162          |
| 0.7804        | 42.9412 | 365  | 0.9104          |
| 0.7508        | 44.0    | 374  | 0.9083          |
| 0.7192        | 44.9412 | 382  | 0.9052          |
| 0.7633        | 46.0    | 391  | 0.9048          |
| 0.7534        | 46.9412 | 399  | 0.9052          |
| 0.666         | 48.0    | 408  | 0.9151          |
| 0.7298        | 48.9412 | 416  | 0.9143          |
| 0.6815        | 50.0    | 425  | 0.9157          |
| 0.6845        | 50.9412 | 433  | 0.9170          |
| 0.6524        | 52.0    | 442  | 0.9216          |
| 0.6397        | 52.9412 | 450  | 0.9228          |


### Framework versions

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