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---

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