Update README.md

README.md

@@ -1,67 +1,67 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Salesforce/codet5-base
-tags:
-- generated_from_trainer
-metrics:
-- bleu
-model-index:
-- name: codet5-base-sql-create-context
-  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. -->
-
-# codet5-base-sql-create-context
-
-This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0036
-- Exact Match: 0.2451
-- Rouge2: 0.8839
-- Bleu: 75.6780
-
-## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Exact Match | Rouge2 | Bleu    |
-|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:|
-| 0.0071        | 1.0   | 7858  | 0.0047          | 0.2360      | 0.8808 | 75.1891 |
-| 0.0041        | 2.0   | 15716 | 0.0039          | 0.2393      | 0.8820 | 75.4061 |
-| 0.0028        | 3.0   | 23574 | 0.0037          | 0.2447      | 0.8832 | 75.5863 |
-| 0.0019        | 4.0   | 31432 | 0.0035          | 0.2469      | 0.8837 | 75.7130 |
-| 0.0013        | 5.0   | 39290 | 0.0036          | 0.2451      | 0.8839 | 75.6780 |
-
-
-### Framework versions
-
-- Transformers 4.50.3
-- Pytorch 2.5.1+cu121
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: Salesforce/codet5-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: codet5-base-sql-create-context
+  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. -->
+
+# codet5-base-sql-create-context
+
+This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0036
+- Exact Match: 0.2451
+- Rouge2: 0.8839
+- Bleu: 75.6780
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Exact Match | Rouge2 | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:|
+| 0.0071        | 1.0   | 7858  | 0.0047          | 0.2360      | 0.8808 | 75.1891 |
+| 0.0041        | 2.0   | 15716 | 0.0039          | 0.2393      | 0.8820 | 75.4061 |
+| 0.0028        | 3.0   | 23574 | 0.0037          | 0.2447      | 0.8832 | 75.5863 |
+| 0.0019        | 4.0   | 31432 | 0.0035          | 0.2469      | 0.8837 | 75.7130 |
+| 0.0013        | 5.0   | 39290 | 0.0036          | 0.2451      | 0.8839 | 75.6780 |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.5.0
+- Tokenizers 0.21.1