metadata
base_model: techthiyanes/chinese_sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ASAP_SENT
results: []
ASAP_SENT
This model is a fine-tuned version of techthiyanes/chinese_sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9014
- Accuracy: 0.5935
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9269 | 1.0 | 1152 | 0.8890 | 0.5913 |
| 0.8122 | 2.0 | 2304 | 0.9014 | 0.5935 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2