---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: filtered_annotated100k_mt5
  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. -->

# filtered_annotated100k_mt5

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2640
- eval_Val Accuracy: 0.8325
- eval_gen_len: 4.0762
- eval_runtime: 62.2314
- eval_samples_per_second: 154.327
- eval_steps_per_second: 4.837
- epoch: 3.0
- step: 2307

## 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: 0.0005
- train_batch_size: 100
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Framework versions

- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2