distilbert-base-uncased-becas-6

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: 4.4429

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: 24
• eval_batch_size: 24
• 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
No log	1.0	4	5.7244
No log	2.0	8	5.3950
No log	3.0	12	5.1709
No log	4.0	16	4.9720
No log	5.0	20	4.7402
No log	6.0	24	4.5832
No log	7.0	28	4.5499
No log	8.0	32	4.5004
No log	9.0	36	4.4665
No log	10.0	40	4.4429

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1