metadata
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased_ml-finetuned-imdb
results: []
scibert_scivocab_uncased_ml-finetuned-imdb
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: 1.7940
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7945 | 1.0 | 30 | 1.7968 |
| 1.8117 | 2.0 | 60 | 1.8293 |
| 1.8011 | 3.0 | 90 | 1.7923 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2