---
license: apache-2.0
base_model: vaibhav9/hangman-bert-base-2
tags:
- generated_from_trainer
model-index:
- name: hangman-bert-base-2
  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. -->

# hangman-bert-base-2

This model is a fine-tuned version of [vaibhav9/hangman-bert-base-2](https://huggingface.co/vaibhav9/hangman-bert-base-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0054

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0245        | 1.0   | 2609 | 2.0118          |
| 2.0108        | 2.0   | 5218 | 2.0105          |
| 2.0092        | 3.0   | 7827 | 2.0054          |


### Framework versions

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