distilbert-base-uncased-becas-7

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: 4.3059

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: 16
• eval_batch_size: 16
• 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	5	5.4980
No log	2.0	10	5.0383
No log	3.0	15	4.6244
No log	4.0	20	4.2090
No log	5.0	25	4.0156
No log	6.0	30	3.8638
No log	7.0	35	4.0836
No log	8.0	40	4.1302
No log	9.0	45	4.2543
No log	10.0	50	4.3059

Framework versions

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