metadata
license: cc-by-nc-sa-4.0
base_model: ElnaggarLab/ankh-base
tags:
- generated_from_trainer
model-index:
- name: TooT-PLM-P2S
results: []
TooT-PLM-P2S
This model is a fine-tuned version of ElnaggarLab/ankh-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2604
- Q3 Accuracy: 0.5425
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: 0.001
- train_batch_size: 2
- eval_batch_size: 16
- seed: 7
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Q3 Accuracy |
|---|---|---|---|---|
| 0.5495 | 0.35 | 500 | 0.2746 | 0.5425 |
| 0.2733 | 0.71 | 1000 | 0.2604 | 0.5425 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2