scibert_scivocab_uncased-finetuned-molstmraw-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: 0.5085
Model description
More information needed
Intended uses & limitations
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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 |
|---|---|---|---|
| 0.8095 | 1.0 | 1265 | 0.6320 |
| 0.6481 | 2.0 | 2530 | 0.5629 |
| 0.5938 | 3.0 | 3795 | 0.5315 |
| 0.5664 | 4.0 | 5060 | 0.5132 |
| 0.5526 | 5.0 | 6325 | 0.5084 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for matr1xx/scibert_scivocab_uncased-finetuned-molstmraw-mlm-0.3-5epochs
Base model
allenai/scibert_scivocab_uncased