metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: movie-genre-prediction_distilbert-base-uncased
results: []
movie-genre-prediction_distilbert-base-uncased
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6396
- Accuracy: 0.4191
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: 200
- eval_batch_size: 200
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 189 | 1.6919 | 0.4019 |
| No log | 2.0 | 378 | 1.6525 | 0.4173 |
| 1.718 | 3.0 | 567 | 1.6504 | 0.4153 |
| 1.718 | 4.0 | 756 | 1.6403 | 0.4196 |
| 1.718 | 5.0 | 945 | 1.6396 | 0.4191 |
Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3