metadata
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: prot_bert_bfd
results: []
prot_bert_bfd
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4955
- Precision: 0.7674
- Recall: 0.7769
- F1: 0.7666
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 61 | 0.4786 | 0.7709 | 0.7746 | 0.7724 |
| No log | 2.0 | 122 | 0.4696 | 0.7810 | 0.7799 | 0.7804 |
| No log | 3.0 | 183 | 0.4955 | 0.7674 | 0.7769 | 0.7666 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1