metadata
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased-finetuned-mol-mlm-0.3-5epochs
results: []
scibert_scivocab_uncased-finetuned-mol-mlm-0.3-5epochs
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5835
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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8759 | 1.0 | 180 | 0.6795 |
| 0.6773 | 2.0 | 360 | 0.6306 |
| 0.6255 | 3.0 | 540 | 0.5880 |
| 0.5912 | 4.0 | 720 | 0.5707 |
| 0.5783 | 5.0 | 900 | 0.5724 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1