---
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_180-samples_config-2
  results: []
---

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# Mistral-7B_task-1_180-samples_config-2

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1511

## 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: 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.053         | 0.9412  | 8    | 1.8890          |
| 1.3317        | 2.0     | 17   | 1.3413          |
| 1.1994        | 2.9412  | 25   | 1.2018          |
| 0.9607        | 4.0     | 34   | 1.1521          |
| 0.7457        | 4.9412  | 42   | 1.1807          |
| 0.5441        | 6.0     | 51   | 1.3877          |
| 0.262         | 6.9412  | 59   | 1.6165          |
| 0.1407        | 8.0     | 68   | 1.9110          |
| 0.0589        | 8.9412  | 76   | 1.9831          |
| 0.053         | 10.0    | 85   | 2.0235          |
| 0.0268        | 10.9412 | 93   | 2.1511          |


### Framework versions

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