---
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-combo-textbook
  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

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: 1.6464

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3141        | 1.0   | 2468  | 2.0738          |
| 2.1063        | 2.0   | 4936  | 2.0016          |
| 2.0241        | 3.0   | 7404  | 1.9165          |
| 1.9769        | 4.0   | 9872  | nan             |
| 1.897         | 5.0   | 12340 | 1.8370          |
| 1.8501        | 6.0   | 14808 | 1.8046          |
| 1.8182        | 7.0   | 17276 | 1.7854          |
| 1.7648        | 8.0   | 19744 | 1.7328          |
| 1.7409        | 9.0   | 22212 | 1.7238          |
| 1.7486        | 10.0  | 24680 | 1.7043          |
| 1.6753        | 11.0  | 27148 | 1.7076          |
| 1.6833        | 12.0  | 29616 | 1.6704          |
| 1.6684        | 13.0  | 32084 | 1.6873          |
| 1.6092        | 14.0  | 34552 | 1.6702          |
| 1.6077        | 15.0  | 37020 | 1.6972          |
| 1.6271        | 16.0  | 39488 | 1.6379          |
| 1.6159        | 17.0  | 41956 | 1.6624          |
| 1.5678        | 18.0  | 44424 | 1.6646          |
| 1.5857        | 19.0  | 46892 | 1.6290          |
| 1.5741        | 20.0  | 49360 | 1.6464          |


### Framework versions

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