---
base_model: yadvender12/AV_MAE_task1_256_DF1M
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: AV_MAE_task1_256_DF1M_epoch2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AV_MAE_task1_256_DF1M_epoch2

This model is a fine-tuned version of [yadvender12/AV_MAE_task1_256_DF1M](https://huggingface.co/yadvender12/AV_MAE_task1_256_DF1M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3055
- Accuracy: 0.8812
- F1: 0.8807

## 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: 25000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3319        | 0.5   | 12500 | 0.3159          | 0.8588   | 0.8579 |
| 0.3533        | 1.5   | 25000 | 0.3055          | 0.8812   | 0.8807 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.2.1+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3