---
license: apache-2.0
base_model: google/electra-small-generator
tags:
- generated_from_trainer
model-index:
- name: electra-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. -->

# electra-finetuned-combo-textbook

This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co./google/electra-small-generator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0465

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1458        | 1.0   | 2468  | 2.8891          |
| 2.8707        | 2.0   | 4936  | 2.7016          |
| 2.7021        | 3.0   | 7404  | 2.5199          |
| 2.6068        | 4.0   | 9872  | 2.4902          |
| 2.5111        | 5.0   | 12340 | 2.4149          |
| 2.4193        | 6.0   | 14808 | 2.3743          |
| 2.383         | 7.0   | 17276 | 2.3333          |
| 2.3082        | 8.0   | 19744 | 2.2770          |
| 2.2723        | 9.0   | 22212 | 2.2606          |
| 2.2151        | 10.0  | 24680 | 2.2444          |
| 2.1869        | 11.0  | 27148 | 2.1859          |
| 2.1588        | 12.0  | 29616 | 2.1959          |
| 2.1188        | 13.0  | 32084 | 2.1490          |
| 2.0947        | 14.0  | 34552 | 2.1259          |
| 2.06          | 15.0  | 37020 | 2.1211          |
| 1.9976        | 16.0  | 39488 | 2.0701          |
| 1.9975        | 17.0  | 41956 | 2.1048          |
| 1.9479        | 18.0  | 44424 | 2.1072          |
| 1.9215        | 19.0  | 46892 | 2.0794          |
| 1.9426        | 20.0  | 49360 | 2.0465          |


### Framework versions

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