---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: mistral-0.5B-base
  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. -->

# mistral-0.5B-base

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8893

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.9695        | 0.3989 | 74   | 6.0154          |
| 5.0148        | 0.7978 | 148  | 5.1781          |
| 4.459         | 1.1941 | 222  | 4.7603          |
| 4.0585        | 1.5930 | 296  | 4.4421          |
| 3.8404        | 1.9919 | 370  | 4.2375          |
| 3.1164        | 2.3881 | 444  | 4.0944          |
| 2.4948        | 2.7871 | 518  | 3.9528          |
| 1.6126        | 3.1833 | 592  | 3.9094          |
| 1.5873        | 3.5822 | 666  | 3.8964          |
| 1.4401        | 3.9811 | 740  | 3.8893          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0