metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: movie-genre-prediction_distilbert-base-uncased_full
results: []
movie-genre-prediction_distilbert-base-uncased_full
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: 3.2567
- Accuracy: 0.0742
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 | 232 | 3.0253 | 0.0715 |
| No log | 2.0 | 464 | 2.9975 | 0.0767 |
| 1.641 | 3.0 | 696 | 3.2188 | 0.0735 |
| 1.641 | 4.0 | 928 | 3.1909 | 0.0776 |
| 1.4085 | 5.0 | 1160 | 3.2567 | 0.0742 |
Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3