---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: AV_MAE_LAVDF_noCE_new
  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. -->

# AV_MAE_LAVDF_noCE_new

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: 0.2811
- Accuracy: 0.9417
- F1: 0.9415

## 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: 38740
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3825        | 0.19  | 7354  | 0.3419          | 0.9165   | 0.9154 |
| 0.1063        | 1.19  | 14710 | 0.3190          | 0.9277   | 0.9274 |
| 0.1112        | 2.19  | 22064 | 0.3054          | 0.9380   | 0.9378 |
| 0.1062        | 3.19  | 29419 | 0.2962          | 0.9347   | 0.9343 |
| 0.142         | 4.19  | 36774 | 0.2788          | 0.9420   | 0.9418 |
| 0.0595        | 5.05  | 38740 | 0.2811          | 0.9417   | 0.9415 |


### Framework versions

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