chathuranga-jayanath commited on
Commit
5180965
1 Parent(s): 388f42a

End of training

Browse files
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: Salesforce/codet5-small
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  tags:
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  - generated_from_trainer
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- metrics:
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- - rouge
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  model-index:
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  - name: codet5-small-v1
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  results: []
@@ -17,17 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3476
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- - Rouge1: 72.8353
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- - Rouge2: 55.3177
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- - Rougel: 68.1464
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- - Rougelsum: 67.5838
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- - Gen Len: 13.4595
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  ## Model description
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- fine-tuned on this dataset - chathuranga-jayanath/context-5-predict-token-for-fine-tune.
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- executed for 4 epochs.
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  ## Intended uses & limitations
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@@ -43,22 +37,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 20 | 1.6944 | 60.3962 | 43.2915 | 57.1491 | 57.0619 | 13.4595 |
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- | No log | 2.0 | 40 | 0.8389 | 77.3091 | 66.2349 | 74.0686 | 74.0976 | 13.7027 |
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- | No log | 3.0 | 60 | 0.4161 | 74.7004 | 60.1588 | 70.1567 | 70.0012 | 13.3514 |
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- | No log | 4.0 | 80 | 0.3476 | 72.8353 | 55.3177 | 68.1464 | 67.5838 | 13.4595 |
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  ### Framework versions
 
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  base_model: Salesforce/codet5-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: codet5-small-v1
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  results: []
 
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  This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0781
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+ - Bleu Score: 0.0611
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+ - Gen Len: 13.973
 
 
 
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  ## Model description
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+ More information needed
 
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  ## Intended uses & limitations
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 20
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+ - eval_batch_size: 20
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
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+ | No log | 1.0 | 16 | 1.8385 | 0.0659 | 12.9459 |
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+ | No log | 2.0 | 32 | 1.3205 | 0.06 | 13.973 |
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+ | No log | 3.0 | 48 | 1.0781 | 0.0611 | 13.973 |
 
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  ### Framework versions
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