---
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-combo-textbook-no-context
  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-finetuned-combo-textbook-no-context

This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co./google-bert/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6241

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4652        | 1.0   | 2444  | 2.2878          |
| 2.2439        | 2.0   | 4888  | 2.2005          |
| 2.1422        | 3.0   | 7332  | 2.1331          |
| 2.0527        | 4.0   | 9776  | 2.0734          |
| 1.9734        | 5.0   | 12220 | 2.0488          |
| 1.8752        | 6.0   | 14664 | 1.9844          |
| 1.7757        | 7.0   | 17108 | 1.9257          |
| 1.7478        | 8.0   | 19552 | 1.8901          |
| 1.6469        | 9.0   | 21996 | 1.8797          |
| 1.5894        | 10.0  | 24440 | 1.8198          |
| 1.5341        | 11.0  | 26884 | 1.7803          |
| 1.4563        | 12.0  | 29328 | 1.7602          |
| 1.4385        | 13.0  | 31772 | 1.7663          |
| 1.3534        | 14.0  | 34216 | 1.7007          |
| 1.3007        | 15.0  | 36660 | 1.6705          |
| 1.2689        | 16.0  | 39104 | 1.6996          |
| 1.2268        | 17.0  | 41548 | 1.6319          |
| 1.2152        | 18.0  | 43992 | 1.6599          |
| 1.1317        | 19.0  | 46436 | 1.6433          |
| 1.1133        | 20.0  | 48880 | 1.6241          |


### Framework versions

- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2