prot_bert-finetuned-tchard

This model is a fine-tuned version of Rostlab/prot_bert on the TChard dataset. It achieves the following results on the evaluation set:

• Loss: 0.7164
• Perplexity: 2.05

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1140	0.7619
0.8072	2.0	2280	0.7394
0.7385	3.0	3420	0.7315

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3