SashaSheykina
/

codeT5-finetuned-cXg-nl-to-code

@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.4852
-- Rouge1: 0.2602
-- Rouge2: 0.0661
-- Rougel: 0.2363
-- Bleu: 11.1005
-- Meteor: 0.3527
-- Codebleu: 0.1717
 ## Model description
@@ -45,23 +45,18 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
 - mixed_precision_training: Native AMP
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu   | Meteor | Codebleu |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 4    | 1.0580          | 0.0867 | 0.0075 | 0.0826 | 0.3778 | 0.0859 | 0.0271   |
-| No log        | 2.0   | 8    | 0.7338          | 0.1628 | 0.0330 | 0.1493 | 1.7546 | 0.2224 | 0.0420   |
-| No log        | 3.0   | 12   | 0.6427          | 0.2150 | 0.0546 | 0.1959 | 3.3997 | 0.2411 | 0.0680   |
-| No log        | 4.0   | 16   | 0.5162          | 0.2598 | 0.0579 | 0.2303 | 5.3818 | 0.2805 | 0.1065   |
-| No log        | 5.0   | 20   | 0.4852          | 0.2578 | 0.0559 | 0.2346 | 6.1221 | 0.2829 | 0.1208   |
 ### Framework versions

 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: 1.5269
+- Rouge1: 0.0766
+- Rouge2: 0.0063
+- Rougel: 0.0754
+- Bleu: 0.5609
+- Meteor: 0.0567
+- Codebleu: 0.0324
 ## Model description
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 ### Training results
 ### Framework versions

runs/Aug03_20-06-07_fd8cf9d3bae9/events.out.tfevents.1722716229.fd8cf9d3bae9.2757.11 ADDED Viewed

	@@ -0,0 +1,3 @@

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