distilbert-base-uncased-prueba

This model is a fine-tuned version of distilbert-base-uncased on the becasv3 dataset. It achieves the following results on the evaluation set:

• Loss: 3.3077

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	8	3.3077
No log	2.0	16	3.3077
No log	3.0	24	3.3077
No log	4.0	32	3.3077
No log	5.0	40	3.3077
No log	6.0	48	3.3077
No log	7.0	56	3.3077
No log	8.0	64	3.3077

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1