---
license: mit
base_model: alirezamsh/small100
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: model_small100-finetuned
  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. -->

# model_small100-finetuned

This model is a fine-tuned version of [alirezamsh/small100](https://huggingface.co/alirezamsh/small100) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9770
- Bleu: 41.7687

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.15.2