Update README.md

README.md

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-# Text2Text Legal Clauses Finetuned Model
-
-This model fine-tunes google/mt5-small model on shay681/Hugging_Face_df_Legal_Clauses dataset.
-
-
-## Training and evaluation data
-
-| Dataset  | Split | # samples |
-| -------- | ----- | --------- |
-| SupremeCourtOfIsrael | train | 147,946 |
-| SupremeCourtOfIsrael | validation | 36,987 |
-
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- evaluation_strategy: "epoch"
-- learning_rate: 5e-5
-- train_batch_size: 4
-- eval_batch_size: 4
-- num_train_epochs: 5
-- weight_decay: 0.01
-
-
-### Framework versions
-
-- Transformers 4.17.0
-- Pytorch 1.10.0+cu111
-- Datasets 1.18.4
-- Tokenizers 0.11.6
-
-
-### Results
-
-| Metric | # Value   |
-| ------ | --------- |
-| **Accuracy** | **0.87** | 
-| **F1** | **0.64** |
-
-
-### About Me
-Created by Shay Doner.
-This is my final project as part of intelligent systems M.Sc studies at Afeka College in Tel-Aviv.
-For more cooperation, please contact email: 
+# Text2Text Legal Clauses Finetuned Model
+
+This model fine-tunes google/mt5-small model on shay681/Hugging_Face_df_Legal_Clauses dataset.
+
+
+## Training and evaluation data
+
+| Dataset  | Split | # samples |
+| -------- | ----- | --------- |
+| Hugging_Face_df_Legal_Clauses | train | 147,946 |
+| Hugging_Face_df_Legal_Clauses | validation | 36,987 |
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- evaluation_strategy: "epoch"
+- learning_rate: 5e-5
+- train_batch_size: 4
+- eval_batch_size: 4
+- num_train_epochs: 5
+- weight_decay: 0.01
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.4
+- Tokenizers 0.11.6
+
+
+### Results
+
+| Metric | # Value   |
+| ------ | --------- |
+| **Accuracy** | **0.87** | 
+| **F1** | **0.64** |
+
+
+### About Me
+Created by Shay Doner.
+This is my final project as part of intelligent systems M.Sc studies at Afeka College in Tel-Aviv.
+For more cooperation, please contact email: 
 [email protected]