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MTSUFall2024SoftwareEngineering

Text2Text Generation
Transformers
TensorBoard
Safetensors
English
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +14 -14
  2. runs/Sep26_21-21-20_7141c55e39ea/events.out.tfevents.1727385692.7141c55e39ea.2331.0 +2 -2
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0628
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- - Rouge1: 0.2406
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- - Rouge2: 0.187
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- - Rougel: 0.2337
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- - Rougelsum: 0.2336
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- - Gen Len: 18.9969
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  ## Model description
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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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- | 2.8688 | 1.0 | 748 | 2.1863 | 0.2392 | 0.1855 | 0.232 | 0.2319 | 18.9985 |
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- | 2.4032 | 2.0 | 1496 | 2.1045 | 0.2387 | 0.1869 | 0.232 | 0.232 | 18.9973 |
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- | 2.3034 | 3.0 | 2244 | 2.0720 | 0.239 | 0.1869 | 0.2324 | 0.2323 | 18.9969 |
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- | 2.2666 | 4.0 | 2992 | 2.0628 | 0.2406 | 0.187 | 0.2337 | 0.2336 | 18.9969 |
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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- - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7579
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+ - Rouge1: 0.268
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+ - Rouge2: 0.2083
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+ - Rougel: 0.258
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+ - Rougelsum: 0.2582
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+ - Gen Len: 18.9805
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  ## Model description
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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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+ | 2.1182 | 1.0 | 3708 | 1.8807 | 0.2643 | 0.2029 | 0.2533 | 0.2534 | 18.9817 |
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+ | 1.999 | 2.0 | 7416 | 1.8013 | 0.2663 | 0.2053 | 0.2558 | 0.2559 | 18.9833 |
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+ | 1.9739 | 3.0 | 11124 | 1.7681 | 0.267 | 0.2066 | 0.2568 | 0.2569 | 18.9816 |
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+ | 1.9448 | 4.0 | 14832 | 1.7579 | 0.268 | 0.2083 | 0.258 | 0.2582 | 18.9805 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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  - Tokenizers 0.19.1
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