---
tags:
- generated_from_trainer
base_model: Youssef320/LSTM-finetuned-50label-15epoch
model-index:
- name: OUTPUT
  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. -->

# OUTPUT

This model is a fine-tuned version of [Youssef320/LSTM-finetuned-50label-15epoch](https://huggingface.co/Youssef320/LSTM-finetuned-50label-15epoch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9546
- Top 1 Macro F1 Score: 0.1199
- Top 1 Weighted F1score: 0.1730
- Top 3 Macro F1 Score: 0.2702
- Top3 3 Weighted F1 Score : 0.3774

## 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Top 1 Macro F1 Score | Top 1 Weighted F1score | Top 3 Macro F1 Score | Top3 3 Weighted F1 Score  |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:----------------------:|:--------------------:|:-------------------------:|
| 3.0865        | 0.53  | 32   | 2.9546          | 0.1199               | 0.1730                 | 0.2702               | 0.3774                    |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.12.1+cu102
- Datasets 2.6.1
- Tokenizers 0.13.3