---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-twitch
  results: []
---

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# bert-twitch

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co./bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8105

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5329        | 1.0   | 165  | 5.1209          |
| 1.7499        | 2.0   | 330  | 4.7902          |
| 2.7708        | 3.0   | 495  | 4.9339          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0