metadata
license: mit
base_model: facebook/esm2_t12_35M_UR50D
tags:
- generated_from_keras_callback
model-index:
- name: esm2_t12_35M_UR50D-finetuned-glycosylation-classification
results: []
esm2_t12_35M_UR50D-finetuned-glycosylation-classification
This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0031
- Train Masked Accuracy: 0.9993
- Validation Loss: 0.0036
- Validation Masked Accuracy: 0.9991
- Epoch: 2
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
- training_precision: float32
Training results
| Train Loss | Train Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch |
|---|---|---|---|---|
| 0.0665 | 0.9819 | 0.0121 | 0.9981 | 0 |
| 0.0055 | 0.9988 | 0.0034 | 0.9993 | 1 |
| 0.0031 | 0.9993 | 0.0036 | 0.9991 | 2 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3