---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: AV_MAE_DF1M_noCEnoCL_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_DF1M_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: 0.2893
- Accuracy: 0.9352
- F1: 0.9348

## 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: 14120
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4187        | 0.32  | 4517  | 0.3861          | 0.9068   | 0.9061 |
| 0.2655        | 1.32  | 9033  | 0.3171          | 0.9255   | 0.9253 |
| 0.7603        | 2.32  | 13549 | 0.2914          | 0.9355   | 0.9351 |
| 0.3845        | 3.04  | 14120 | 0.2893          | 0.9352   | 0.9348 |


### Framework versions

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