distilbert-base-uncased-becas-3

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: 5.9817

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: 0.0001
• train_batch_size: 20
• eval_batch_size: 20
• 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	4.7485
No log	2.0	8	4.9898
No log	3.0	12	4.5283
No log	4.0	16	5.2474
No log	5.0	20	5.7884
No log	6.0	24	5.7276
No log	7.0	28	6.1736
No log	8.0	32	6.2020
No log	9.0	36	5.9669
No log	10.0	40	5.9817

Framework versions

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