---
license: apache-2.0
base_model: Redhotchilipoppy/montelnewsspeaker
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MontelClassifier
  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. -->

# MontelClassifier

This model is a fine-tuned version of [Redhotchilipoppy/montelnewsspeaker](https://huggingface.co/Redhotchilipoppy/montelnewsspeaker) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6256
- Accuracy: 0.7296

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 116  | 1.4596          | 0.5880   |
| No log        | 2.0   | 232  | 1.1372          | 0.7039   |
| No log        | 3.0   | 348  | 1.0803          | 0.6910   |
| No log        | 4.0   | 464  | 1.1075          | 0.7253   |
| 1.2586        | 5.0   | 580  | 1.1247          | 0.7253   |
| 1.2586        | 6.0   | 696  | 1.2004          | 0.7253   |
| 1.2586        | 7.0   | 812  | 1.2889          | 0.7253   |
| 1.2586        | 8.0   | 928  | 1.3423          | 0.7253   |
| 0.3598        | 9.0   | 1044 | 1.5117          | 0.7425   |
| 0.3598        | 10.0  | 1160 | 1.4968          | 0.7425   |
| 0.3598        | 11.0  | 1276 | 1.4889          | 0.7253   |
| 0.3598        | 12.0  | 1392 | 1.5606          | 0.7296   |
| 0.0958        | 13.0  | 1508 | 1.6033          | 0.7339   |
| 0.0958        | 14.0  | 1624 | 1.6221          | 0.7339   |
| 0.0958        | 15.0  | 1740 | 1.6256          | 0.7296   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0