metadata
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model
results: []
my_awesome_model
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5132
- Accuracy: 0.9034
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 88 | 0.3975 | 0.9006 |
| No log | 2.0 | 176 | 0.3922 | 0.9034 |
| No log | 3.0 | 264 | 0.4732 | 0.9034 |
| No log | 4.0 | 352 | 0.5226 | 0.8949 |
| No log | 5.0 | 440 | 0.4903 | 0.9034 |
| 0.0513 | 6.0 | 528 | 0.5203 | 0.9062 |
| 0.0513 | 7.0 | 616 | 0.5192 | 0.8949 |
| 0.0513 | 8.0 | 704 | 0.5132 | 0.9034 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2