---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
datasets:
- preethiprabha2023/trial
model-index:
- name: debug_seq2seq_trial
  results: []
language:
- ta
metrics:
pipeline_tag: text2text-generation
widget:
  - text : வெறுப்பு, காழ்ப்பு, கசப்பு, மனசகப்பு, எரிச்சல்.
    context : துக்கம், இழப்பு, கவலை முதலியவற்றால் தன் மேல் ஏற்படும் வெறுப்பு.
    example_title : Feelings
---

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# debug_seq2seq_trial

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the preethiprabha2023/trial dataset.
It achieves the following results on the evaluation set:
- Loss: 15.5520

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2