---
library_name: transformers
license: apache-2.0
base_model: google/mt5-large
tags:
- translation
- generated_from_trainer
model-index:
- name: fine_tuned_he_to_tanach
  results: []
metrics:
- bleu
---

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

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on a dataset that contains verses from the Bible traducted in modern Hebrew.

## 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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1