---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_60-samples_config-1_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B_task-1_60-samples_config-1_full

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4447

## 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: 0.0001
- 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.1428        | 0.8696  | 5    | 1.8872          |
| 1.7313        | 1.9130  | 11   | 1.4963          |
| 1.2743        | 2.9565  | 17   | 1.1005          |
| 0.9489        | 4.0     | 23   | 0.9686          |
| 0.7984        | 4.8696  | 28   | 0.9257          |
| 0.6358        | 5.9130  | 34   | 0.9723          |
| 0.4722        | 6.9565  | 40   | 1.0251          |
| 0.3258        | 8.0     | 46   | 1.1248          |
| 0.2366        | 8.8696  | 51   | 1.2418          |
| 0.1887        | 9.9130  | 57   | 1.3003          |
| 0.1497        | 10.9565 | 63   | 1.3586          |
| 0.1313        | 12.0    | 69   | 1.4447          |


### Framework versions

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