distilbert-base-uncased-prueba2

This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:

• Loss: 3.6356

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: 5e-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	9	3.9054
No log	2.0	18	3.1893
No log	3.0	27	2.9748
No log	4.0	36	3.1541
No log	5.0	45	3.2887
No log	6.0	54	3.5055
No log	7.0	63	3.5902
No log	8.0	72	3.6356

Framework versions

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