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: 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