---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: t5-base-exp1
  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. -->

# t5-base-exp1

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:
- Loss: 0.0701

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 8

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3485        | 0.9995 | 143  | 0.2820          |
| 0.2208        | 1.9989 | 286  | 0.1841          |
| 0.1529        | 2.9984 | 429  | 0.1166          |
| 0.1214        | 3.9978 | 572  | 0.0889          |
| 0.1018        | 4.9973 | 715  | 0.0805          |
| 0.1025        | 5.9967 | 858  | 0.0761          |
| 0.102         | 6.9962 | 1001 | 0.0733          |
| 0.0929        | 7.9956 | 1144 | 0.0701          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1