---
base_model: mistralai/Mistral-7B-v0.3
datasets:
- viggo
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral-viggo-finetune
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-viggo-finetune

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the viggo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2520

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.297         | 0.1567 | 50   | 0.2849          |
| 0.2569        | 0.3135 | 100  | 0.2520          |


### Framework versions

- PEFT 0.13.1.dev0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0