metadata
license: apache-2.0
base_model: willherbert27/bert-finetuned-combo-textbook-no-context
tags:
- generated_from_trainer
model-index:
- name: bert-textbook-no-context-finetuned-squad
results: []
bert-textbook-no-context-finetuned-squad
This model is a fine-tuned version of willherbert27/bert-finetuned-combo-textbook-no-context on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2753
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8478 | 1.0 | 8255 | 1.9560 |
| 1.5614 | 2.0 | 16510 | 1.8805 |
| 1.3201 | 3.0 | 24765 | 1.8681 |
| 1.1333 | 4.0 | 33020 | 2.1644 |
| 0.9384 | 5.0 | 41275 | 2.1056 |
| 0.778 | 6.0 | 49530 | 2.3509 |
| 0.6555 | 7.0 | 57785 | 2.7690 |
| 0.5564 | 8.0 | 66040 | 3.2649 |
| 0.4772 | 9.0 | 74295 | 3.7807 |
| 0.4322 | 10.0 | 82550 | 4.2753 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2