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: 0.3494
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 60 | 0.4161 |
| No log | 2.0 | 120 | 0.3882 |
| No log | 3.0 | 180 | 0.3667 |
| No log | 4.0 | 240 | 0.3318 |
| No log | 5.0 | 300 | 0.3162 |
| No log | 6.0 | 360 | 0.3145 |
| No log | 7.0 | 420 | 0.3277 |
| No log | 8.0 | 480 | 0.3375 |
| 0.4754 | 9.0 | 540 | 0.3431 |
| 0.4754 | 10.0 | 600 | 0.3494 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2