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CommitPredictorT5

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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update model card README.md

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@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-base-multi-sum](https://huggingface.co/Salesforce/codet5-base-multi-sum) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4517
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  - Rouge1: 0.0001
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  - Rouge2: 0.0
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  - Rougel: 0.0001
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  - Rougelsum: 0.0001
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  - Gen Len: 1.0
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- - Bleu: 0.0004
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  ## Model description
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@@ -54,14 +54,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
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- | 3.2156 | 1.0 | 687 | 2.6943 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0005 |
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- | 2.7542 | 2.0 | 1374 | 2.5573 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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- | 2.4383 | 3.0 | 2061 | 2.4856 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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- | 2.3043 | 4.0 | 2748 | 2.4514 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0005 |
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- | 2.2043 | 5.0 | 3435 | 2.4373 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0004 |
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- | 2.0354 | 6.0 | 4122 | 2.4284 | 0.0003 | 0.0 | 0.0003 | 0.0003 | 1.0 | 0.0004 |
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- | 1.9542 | 7.0 | 4809 | 2.4332 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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- | 1.8954 | 8.0 | 5496 | 2.4517 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0004 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/codet5-base-multi-sum](https://huggingface.co/Salesforce/codet5-base-multi-sum) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4965
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  - Rouge1: 0.0001
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  - Rouge2: 0.0
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  - Rougel: 0.0001
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  - Rougelsum: 0.0001
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  - Gen Len: 1.0
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+ - Bleu: 0.0003
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
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+ | 3.2251 | 1.0 | 837 | 2.6716 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0003 |
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+ | 2.6363 | 2.0 | 1674 | 2.5424 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0003 |
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+ | 2.4269 | 3.0 | 2511 | 2.4765 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0003 |
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+ | 2.2842 | 4.0 | 3348 | 2.4356 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0003 |
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+ | 2.1366 | 5.0 | 4185 | 2.4353 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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+ | 2.0199 | 6.0 | 5022 | 2.4261 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0003 |
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+ | 1.9309 | 7.0 | 5859 | 2.4334 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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+ | 1.8353 | 8.0 | 6696 | 2.4361 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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+ | 1.7459 | 9.0 | 7533 | 2.4576 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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+ | 1.6658 | 10.0 | 8370 | 2.4634 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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+ | 1.594 | 11.0 | 9207 | 2.4965 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0003 |
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  ### Framework versions