---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 1.8509
- Accuracy: 0.5615

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9289        | 1.0   | 1152  | 0.8937          | 0.5879   |
| 0.8395        | 2.0   | 2304  | 0.9166          | 0.5913   |
| 0.7698        | 3.0   | 3456  | 0.9561          | 0.5879   |
| 0.6523        | 4.0   | 4608  | 1.0678          | 0.5787   |
| 0.4581        | 5.0   | 5760  | 1.2595          | 0.5648   |
| 0.3461        | 6.0   | 6912  | 1.4034          | 0.5595   |
| 0.2374        | 7.0   | 8064  | 1.5402          | 0.5630   |
| 0.2438        | 8.0   | 9216  | 1.7174          | 0.5607   |
| 0.2324        | 9.0   | 10368 | 1.7918          | 0.5640   |
| 0.1555        | 10.0  | 11520 | 1.8509          | 0.5615   |


### Framework versions

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