---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classifier_t5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# classifier_t5

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3982
- Accuracy: 0.8104

## 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: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 453  | 0.5010          | 0.7267   |
| 0.6294        | 2.0   | 906  | 0.4777          | 0.7368   |
| 0.5164        | 3.0   | 1359 | 0.4693          | 0.7408   |
| 0.5244        | 4.0   | 1812 | 0.4956          | 0.7267   |
| 0.4941        | 5.0   | 2265 | 0.4455          | 0.7642   |
| 0.4639        | 6.0   | 2718 | 0.4134          | 0.8091   |
| 0.4617        | 7.0   | 3171 | 0.4029          | 0.8192   |
| 0.4461        | 8.0   | 3624 | 0.3982          | 0.8104   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1