update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+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