transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t5-small-ChnSentiCorp
  results: []
---

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

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3179
- Accuracy: 0.6307

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4951        | 1.0   | 552  | 0.3255          | 0.6033   |
| 0.3405        | 2.0   | 1104 | 0.3224          | 0.6081   |
| 0.332         | 3.0   | 1656 | 0.3244          | 0.6067   |
| 0.3285        | 4.0   | 2208 | 0.3179          | 0.6307   |
| 0.3248        | 5.0   | 2760 | 0.3195          | 0.6287   |
| 0.3203        | 6.0   | 3312 | 0.3194          | 0.6301   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
