---
base_model: techthiyanes/chinese_sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ASPECT_SENT
  results: []
---

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

This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5445
- Accuracy: 0.7876

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5678        | 1.0   | 6668  | 0.5337          | 0.7804   |
| 0.404         | 2.0   | 13336 | 0.5267          | 0.7900   |
| 0.3276        | 3.0   | 20004 | 0.5445          | 0.7876   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2