---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: tamil-finetuning
  results: []
datasets:
- ai4bharat/samanantar
language:
- ta
- en
metrics:
- bleu
---

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samanantar dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3531
- eval_bleu: 14.4184
- eval_gen_len: 32.6451
- eval_runtime: 7195.8762
- eval_samples_per_second: 2.223
- eval_steps_per_second: 2.223
- epoch: 2.0
- step: 8000

## Model description

t5-small finetuned for translation in en-ta 

## Intended uses & limitations

More information needed

## Training and evaluation data

ai4bharath/samanantar -> 80-20 split

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1