metadata
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
datasets:
- events_classification_biotech
model-index:
- name: my_awesome_model
results: []
my_awesome_model
This model is a fine-tuned version of microsoft/deberta-base on the events_classification_biotech dataset.
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.01
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 0.01 | 28 | 0.5194 | 0.9395 | 0.0029 | 0.0263 | 0.0015 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2