bert_medium_Goodreads_Books_Reviews
This model is a fine-tuned version of prajjwal1/bert-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8175
- F1: 0.6058
- Accuracy: 0.6523
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.8393 | 1.0 | 12657 | 0.8355 | 0.5960 | 0.6430 |
| 0.7965 | 2.0 | 25314 | 0.8175 | 0.6058 | 0.6523 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2