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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AV_MAE_LAVDF_noCEnoCL_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: 0.2924
- Accuracy: 0.9407
- F1: 0.9405

## 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: 19370
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3989        | 0.38  | 7354  | 0.3479          | 0.9190   | 0.9184 |
| 0.1062        | 1.38  | 14710 | 0.3103          | 0.9369   | 0.9366 |
| 0.0063        | 2.24  | 19370 | 0.2924          | 0.9407   | 0.9405 |


### Framework versions

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