metadata
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs
results: []
scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs
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: 0.0454
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1073 | 1.0 | 3301 | 0.0635 |
| 0.0658 | 2.0 | 6602 | 0.0563 |
| 0.0589 | 3.0 | 9903 | 0.0535 |
| 0.0555 | 4.0 | 13204 | 0.0515 |
| 0.053 | 5.0 | 16505 | 0.0494 |
| 0.0509 | 6.0 | 19806 | 0.0486 |
| 0.0496 | 7.0 | 23107 | 0.0473 |
| 0.0486 | 8.0 | 26408 | 0.0466 |
| 0.0477 | 9.0 | 29709 | 0.0462 |
| 0.0468 | 10.0 | 33010 | 0.0457 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2