---
license: apache-2.0
base_model: vaibhav9/bert-mini-hangman
tags:
- generated_from_trainer
model-index:
- name: bert-mini-hangman
  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-mini-hangman

This model is a fine-tuned version of [vaibhav9/bert-mini-hangman](https://huggingface.co/vaibhav9/bert-mini-hangman) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4192

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1255        | 1.0   | 2609  | 2.8087          |
| 2.1225        | 2.0   | 5218  | nan             |
| 2.1168        | 3.0   | 7827  | nan             |
| 2.1127        | 4.0   | 10436 | nan             |
| 2.1087        | 5.0   | 13045 | 3.4192          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3