---
license: apache-2.0
base_model: amr8ta/electra-case-16
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-case-16
  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. -->

# electra-case-16

This model is a fine-tuned version of [amr8ta/electra-case-16](https://huggingface.co/amr8ta/electra-case-16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3294
- Accuracy: 0.9067

## 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: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 224
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 44   | 0.3880          | 0.8333   |
| No log        | 2.0   | 88   | 0.3172          | 0.9      |
| No log        | 3.0   | 132  | 0.3449          | 0.88     |
| No log        | 4.0   | 176  | 0.3472          | 0.8867   |
| No log        | 5.0   | 220  | 0.3255          | 0.8867   |
| No log        | 6.0   | 264  | 0.3116          | 0.8933   |
| No log        | 7.0   | 308  | 0.2972          | 0.9      |
| No log        | 8.0   | 352  | 0.3031          | 0.8933   |
| No log        | 9.0   | 396  | 0.3081          | 0.8933   |
| No log        | 10.0  | 440  | 0.3090          | 0.9      |
| No log        | 11.0  | 484  | 0.3094          | 0.9067   |
| 0.0966        | 12.0  | 528  | 0.3344          | 0.8867   |
| 0.0966        | 13.0  | 572  | 0.3303          | 0.8933   |
| 0.0966        | 14.0  | 616  | 0.3255          | 0.9067   |
| 0.0966        | 15.0  | 660  | 0.3262          | 0.9067   |
| 0.0966        | 16.0  | 704  | 0.3294          | 0.9067   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0