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

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

This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5341
- Accuracy: 0.4826

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9308        | 1.0   | 1152 | 0.9855          | 0.3233   |
| 0.8102        | 2.0   | 2304 | 1.0159          | 0.3836   |
| 0.8724        | 3.0   | 3456 | 1.1756          | 0.4202   |
| 0.3904        | 4.0   | 4608 | 1.4129          | 0.4773   |
| 0.5297        | 5.0   | 5760 | 1.5341          | 0.4826   |


### Framework versions

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