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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_cased_MultiClass_Sentiment_A
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. -->
# bert_base_cased_MultiClass_Sentiment_A
This model is a fine-tuned version of [HMEXBI/bert_base_cased_MultiClass](https://huggingface.co/HMEXBI/bert_base_cased_MultiClass) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0470
- Accuracy: 0.8093
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 357 | 1.0515 | 0.7700 |
| 0.3375 | 2.0 | 714 | 1.0273 | 0.7854 |
| 0.1605 | 3.0 | 1071 | 1.0470 | 0.8093 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
|