---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: AV_MAE_2class_DF1M
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AV_MAE_2class_DF1M

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3200
- Accuracy: 0.9335
- F1: 0.9334

## 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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 28240
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.2874        | 0.16  | 4515  | 0.3124          | 0.9181   | 0.9181 |
| 0.4418        | 1.16  | 9030  | 0.3153          | 0.9261   | 0.9260 |
| 0.453         | 2.16  | 13546 | 0.2692          | 0.9305   | 0.9305 |
| 0.2247        | 3.16  | 18062 | 0.2746          | 0.9308   | 0.9307 |
| 0.0751        | 4.16  | 22579 | 0.2604          | 0.9382   | 0.9380 |
| 0.0827        | 5.16  | 27095 | 0.2913          | 0.9366   | 0.9365 |
| 0.1658        | 6.04  | 28240 | 0.3200          | 0.9335   | 0.9334 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1