---
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chat-prompts
  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. -->

# chat-prompts

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8844
- Accuracy: 0.1647

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 22   | 5.1285          | 0.0059   |
| No log        | 2.0   | 44   | 5.1238          | 0.0118   |
| No log        | 3.0   | 66   | 5.1159          | 0.0118   |
| No log        | 4.0   | 88   | 5.0894          | 0.0118   |
| No log        | 5.0   | 110  | 5.0602          | 0.0176   |
| No log        | 6.0   | 132  | 5.0048          | 0.0294   |
| No log        | 7.0   | 154  | 4.9572          | 0.0706   |
| No log        | 8.0   | 176  | 4.9201          | 0.0941   |
| No log        | 9.0   | 198  | 4.8930          | 0.1294   |
| No log        | 10.0  | 220  | 4.8844          | 0.1647   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0