metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilroberta-base
model-index:
- name: distilroberta-base-movie-genre-prediction
results: []
distilroberta-base-movie-genre-prediction
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0597
- Accuracy: 0.3557
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7392 | 1.0 | 1350 | 1.7042 | 0.4017 |
| 1.6085 | 2.0 | 2700 | 1.6785 | 0.4018 |
| 1.5216 | 3.0 | 4050 | 1.7163 | 0.3945 |
| 1.4188 | 4.0 | 5400 | 1.7409 | 0.3951 |
| 1.3398 | 5.0 | 6750 | 1.7966 | 0.3858 |
| 1.2612 | 6.0 | 8100 | 1.8642 | 0.3801 |
| 1.1563 | 7.0 | 9450 | 1.9256 | 0.3670 |
| 1.1113 | 8.0 | 10800 | 1.9928 | 0.3607 |
| 1.0813 | 9.0 | 12150 | 2.0328 | 0.355 |
| 1.0329 | 10.0 | 13500 | 2.0597 | 0.3557 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3