---
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-cased
model-index:
- name: bert-base-cased-bert-yoga-finetuned
  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-base-cased-bert-yoga-finetuned

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0760

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4202        | 1.0   | 235  | 2.1511          |
| 2.1798        | 2.0   | 470  | 2.0707          |
| 2.1428        | 3.0   | 705  | 2.0810          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cpu
- Datasets 2.4.0
- Tokenizers 0.12.1