metadata
tags:
- generated_from_trainer
model-index:
- name: prot_bert-finetuned-tchard
results: []
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