metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: movie-genre-predictions
results: []
movie-genre-predictions
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6269
- Accuracy: 0.4435
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 67
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 290 | 1.6650 | 0.4176 |
1.7904 | 2.0 | 580 | 1.6128 | 0.4340 |
1.7904 | 3.0 | 870 | 1.5912 | 0.4438 |
1.5099 | 4.0 | 1160 | 1.6025 | 0.4418 |
1.5099 | 5.0 | 1450 | 1.6094 | 0.4469 |
1.3965 | 6.0 | 1740 | 1.6154 | 0.4447 |
1.3179 | 7.0 | 2030 | 1.6240 | 0.4430 |
1.3179 | 8.0 | 2320 | 1.6269 | 0.4435 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3