---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: checkpoint-finetuned-stationary-update
  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. -->

# checkpoint-finetuned-stationary-update

This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6818
- Accuracy: 0.8067
- F1: 0.8027

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5971        | 1.0   | 38   | 0.5642          | 0.72     | 0.6533 |
| 0.4759        | 2.0   | 76   | 0.4484          | 0.7633   | 0.7670 |
| 0.3768        | 3.0   | 114  | 0.4491          | 0.8033   | 0.7924 |
| 0.2983        | 4.0   | 152  | 0.4333          | 0.82     | 0.8175 |
| 0.2111        | 5.0   | 190  | 0.5193          | 0.8067   | 0.7990 |
| 0.1627        | 6.0   | 228  | 0.5407          | 0.8133   | 0.8101 |
| 0.1285        | 7.0   | 266  | 0.6347          | 0.7933   | 0.7823 |
| 0.0966        | 8.0   | 304  | 0.6961          | 0.8067   | 0.7973 |
| 0.0879        | 9.0   | 342  | 0.6972          | 0.8133   | 0.8042 |
| 0.0673        | 10.0  | 380  | 0.6818          | 0.8067   | 0.8027 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0