metadata
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: goodreads_rating_classification
results: []
goodreads_rating_classification
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9785
- F1: 0.5941
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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1524 | 1.0 | 36000 | 1.0322 | 0.5680 |
| 1.0338 | 2.0 | 72000 | 0.9999 | 0.5834 |
| 1.0009 | 3.0 | 108000 | 0.9852 | 0.5898 |
| 0.9823 | 4.0 | 144000 | 0.9798 | 0.5924 |
| 0.971 | 5.0 | 180000 | 0.9785 | 0.5941 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0