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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-qnli

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: 0.3319
- Accuracy: 0.8977

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3933        | 1.0   | 13093 | 0.3401          | 0.8688   |
| 0.3351        | 2.0   | 26186 | 0.3176          | 0.8860   |
| 0.33          | 3.0   | 39279 | 0.3006          | 0.8942   |
| 0.3139        | 4.0   | 52372 | 0.3319          | 0.8977   |
| 0.3038        | 5.0   | 65465 | 0.3330          | 0.8973   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0