license: mit | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
model-index: | |
- name: mbti-classification-roberta-base | |
results: [] | |
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# mbti-classification-roberta-base | |
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.1673 | |
- Accuracy: 0.3031 | |
## 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: 2e-05 | |
- train_batch_size: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: cosine | |
- num_epochs: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:------:|:---------------:|:--------:| | |
| 2.1161 | 1.0 | 20490 | 2.0814 | 0.2993 | | |
| 2.0021 | 2.0 | 40980 | 2.0563 | 0.3073 | | |
| 1.8974 | 3.0 | 61470 | 2.0769 | 0.3074 | | |
| 1.8346 | 4.0 | 81960 | 2.1221 | 0.3073 | | |
| 1.7826 | 5.0 | 102450 | 2.1673 | 0.3031 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.12.1+cu102 | |
- Datasets 2.7.1 | |
- Tokenizers 0.13.2 | |