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---
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
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