roberta-base-bne-finetuned-hate-speech-spanish
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4372
- eval_accuracy: 0.8416
- eval_runtime: 350.8995
- eval_samples_per_second: 32.325
- eval_steps_per_second: 3.235
- epoch: 1.0
- step: 2000
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 4.35.0
- Pytorch 1.13.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for juliowaissman/roberta-base-bne-finetuned-hate-speech-spanish
Base model
BSC-LT/roberta-base-bne