---
license: apache-2.0
base_model: vaibhav9/bert_uncased_L-4_H-256_A-4-finetuned-hangman
tags:
- generated_from_trainer
model-index:
- name: bert_uncased_L-4_H-256_A-4-finetuned-hangman-finetuned-hangman
  results: []
---

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# bert_uncased_L-4_H-256_A-4-finetuned-hangman-finetuned-hangman

This model is a fine-tuned version of [vaibhav9/bert_uncased_L-4_H-256_A-4-finetuned-hangman](https://huggingface.co/vaibhav9/bert_uncased_L-4_H-256_A-4-finetuned-hangman) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6879

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1734        | 1.0   | 22730 | 2.6784          |
| 2.1693        | 2.0   | 45460 | 2.6760          |
| 2.1692        | 3.0   | 68190 | 2.6879          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3