---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0913

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7391        | 0.5   | 1000  | 0.1019          |
| 0.1177        | 1.0   | 2000  | 0.0966          |
| 0.1105        | 1.5   | 3000  | 0.0951          |
| 0.1079        | 2.0   | 4000  | 0.0939          |
| 0.1054        | 2.5   | 5000  | 0.0934          |
| 0.1054        | 3.0   | 6000  | 0.0928          |
| 0.1026        | 3.5   | 7000  | 0.0925          |
| 0.1039        | 4.0   | 8000  | 0.0922          |
| 0.102         | 4.5   | 9000  | 0.0920          |
| 0.1017        | 5.0   | 10000 | 0.0918          |
| 0.1003        | 5.5   | 11000 | 0.0918          |
| 0.1014        | 6.0   | 12000 | 0.0916          |
| 0.0993        | 6.5   | 13000 | 0.0916          |
| 0.101         | 7.0   | 14000 | 0.0914          |
| 0.0999        | 7.5   | 15000 | 0.0914          |
| 0.0994        | 8.0   | 16000 | 0.0913          |
| 0.1002        | 8.5   | 17000 | 0.0913          |
| 0.0986        | 9.0   | 18000 | 0.0913          |
| 0.0995        | 9.5   | 19000 | 0.0913          |
| 0.0987        | 10.0  | 20000 | 0.0913          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2