movie-genre-predictions

This model is a fine-tuned version of classla/xlm-roberta-base-multilingual-text-genre-classifier on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8254
• Accuracy: 0.4039

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0066	1.0	580	1.7868	0.3721
1.776	2.0	1160	1.7651	0.3909
1.686	3.0	1740	1.6970	0.4086
1.6282	4.0	2320	1.6960	0.4098
1.5714	5.0	2900	1.6749	0.4137
1.516	6.0	3480	1.6763	0.4142
1.4244	7.0	4060	1.7029	0.4159
1.3822	8.0	4640	1.7114	0.4143
1.3422	9.0	5220	1.7400	0.4131
1.3099	10.0	5800	1.7681	0.4084
1.2757	11.0	6380	1.7830	0.4049
1.2489	12.0	6960	1.7978	0.4050
1.2039	13.0	7540	1.8142	0.4058
1.1839	14.0	8120	1.8243	0.4044
1.1641	15.0	8700	1.8254	0.4039

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1