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RohanHBTU
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t5-base-finetuned-question-to-answer

Text2Text Generation
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Safetensors
t5
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +28 -28
  2. model.safetensors +1 -1
  3. runs/Mar18_16-02-53_a4c40863e7d3/events.out.tfevents.1710778055.a4c40863e7d3.26.1 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9181
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- - Bleu: 36.4335
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- - Gen Len: 33.038
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  ## Model description
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@@ -51,31 +51,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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- | 2.6714 | 1.0 | 516 | 2.0631 | 17.5614 | 53.85 |
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- | 2.3517 | 2.0 | 1032 | 1.8839 | 19.8684 | 47.982 |
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- | 2.1889 | 3.0 | 1548 | 1.7547 | 19.3452 | 49.484 |
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- | 2.0742 | 4.0 | 2064 | 1.6522 | 20.5667 | 45.798 |
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- | 1.9956 | 5.0 | 2580 | 1.5642 | 21.5552 | 44.57 |
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- | 1.8918 | 6.0 | 3096 | 1.4825 | 26.229 | 35.188 |
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- | 1.8399 | 7.0 | 3612 | 1.4129 | 22.3722 | 45.31 |
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- | 1.7878 | 8.0 | 4128 | 1.3447 | 24.4625 | 42.696 |
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- | 1.7243 | 9.0 | 4644 | 1.2905 | 26.1031 | 41.15 |
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- | 1.6878 | 10.0 | 5160 | 1.2399 | 29.9911 | 35.526 |
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- | 1.6415 | 11.0 | 5676 | 1.1951 | 28.7211 | 36.424 |
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- | 1.5932 | 12.0 | 6192 | 1.1538 | 31.5558 | 34.636 |
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- | 1.5672 | 13.0 | 6708 | 1.1184 | 30.5702 | 36.71 |
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- | 1.5377 | 14.0 | 7224 | 1.0841 | 30.6389 | 35.8 |
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- | 1.4906 | 15.0 | 7740 | 1.0554 | 32.1813 | 34.902 |
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- | 1.4766 | 16.0 | 8256 | 1.0298 | 33.4318 | 33.816 |
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- | 1.4461 | 17.0 | 8772 | 1.0085 | 35.6322 | 31.976 |
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- | 1.4488 | 18.0 | 9288 | 0.9870 | 34.3131 | 34.49 |
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- | 1.4044 | 19.0 | 9804 | 0.9686 | 35.6201 | 33.448 |
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- | 1.4003 | 20.0 | 10320 | 0.9539 | 36.4734 | 32.118 |
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- | 1.378 | 21.0 | 10836 | 0.9416 | 35.1872 | 33.538 |
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- | 1.3701 | 22.0 | 11352 | 0.9315 | 36.2257 | 33.068 |
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- | 1.367 | 23.0 | 11868 | 0.9236 | 37.1024 | 32.046 |
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- | 1.3474 | 24.0 | 12384 | 0.9198 | 36.6135 | 32.882 |
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- | 1.3506 | 25.0 | 12900 | 0.9181 | 36.4335 | 33.038 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4006
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+ - Bleu: 54.0167
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+ - Gen Len: 28.902
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 1.3089 | 1.0 | 516 | 0.8868 | 35.5598 | 34.108 |
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+ | 1.2622 | 2.0 | 1032 | 0.8313 | 37.1928 | 34.906 |
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+ | 1.2093 | 3.0 | 1548 | 0.7822 | 40.5334 | 31.082 |
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+ | 1.1607 | 4.0 | 2064 | 0.7350 | 41.6835 | 32.294 |
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+ | 1.1269 | 5.0 | 2580 | 0.6991 | 41.3956 | 31.084 |
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+ | 1.0765 | 6.0 | 3096 | 0.6644 | 43.152 | 31.324 |
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+ | 1.0551 | 7.0 | 3612 | 0.6305 | 45.2289 | 30.064 |
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+ | 1.0326 | 8.0 | 4128 | 0.5984 | 44.9963 | 30.856 |
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+ | 0.9974 | 9.0 | 4644 | 0.5723 | 45.8182 | 30.08 |
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+ | 0.9847 | 10.0 | 5160 | 0.5474 | 46.6307 | 28.812 |
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+ | 0.9553 | 11.0 | 5676 | 0.5245 | 47.3503 | 30.256 |
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+ | 0.9363 | 12.0 | 6192 | 0.5059 | 48.8164 | 29.258 |
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+ | 0.9218 | 13.0 | 6708 | 0.4872 | 49.1785 | 30.37 |
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+ | 0.9096 | 14.0 | 7224 | 0.4743 | 49.7033 | 29.48 |
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+ | 0.8852 | 15.0 | 7740 | 0.4551 | 50.9333 | 30.21 |
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+ | 0.886 | 16.0 | 8256 | 0.4456 | 51.7962 | 28.472 |
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+ | 0.8694 | 17.0 | 8772 | 0.4351 | 51.9603 | 29.89 |
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+ | 0.8785 | 18.0 | 9288 | 0.4250 | 52.3147 | 29.17 |
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+ | 0.8606 | 19.0 | 9804 | 0.4158 | 52.5438 | 28.96 |
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+ | 0.8632 | 20.0 | 10320 | 0.4082 | 53.7264 | 28.85 |
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+ | 0.8549 | 21.0 | 10836 | 0.4037 | 53.6781 | 28.446 |
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+ | 0.8608 | 22.0 | 11352 | 0.4017 | 53.8526 | 29.088 |
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+ | 0.8644 | 23.0 | 11868 | 0.3999 | 53.8358 | 28.47 |
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+ | 0.8589 | 24.0 | 12384 | 0.3987 | 53.949 | 28.792 |
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+ | 0.8699 | 25.0 | 12900 | 0.4006 | 54.0167 | 28.902 |
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  ### Framework versions
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