---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-textbook-no-context-finetuned-squad

This model is a fine-tuned version of [willherbert27/bert-finetuned-combo-textbook-no-context](https://huggingface.co./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