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Gayathri142214002
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t5_Question_Generation_2

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

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Gayathri142214002/t5_Question_Generation](https://huggingface.co/Gayathri142214002/t5_Question_Generation) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5618
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  ## Model description
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@@ -47,49 +47,34 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7289 | 0.16 | 10 | 0.7052 |
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- | 0.9277 | 0.32 | 20 | 0.6537 |
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- | 0.7542 | 0.48 | 30 | 0.6151 |
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- | 0.6897 | 0.64 | 40 | 0.5763 |
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- | 0.6837 | 0.8 | 50 | 0.5575 |
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- | 0.5974 | 0.96 | 60 | 0.5442 |
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- | 0.4186 | 1.12 | 70 | 0.5091 |
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- | 0.4975 | 1.28 | 80 | 0.5214 |
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- | 0.4149 | 1.44 | 90 | 0.5319 |
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- | 0.5302 | 1.6 | 100 | 0.5280 |
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- | 0.5209 | 1.76 | 110 | 0.5194 |
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- | 0.4839 | 1.92 | 120 | 0.5116 |
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- | 0.4813 | 2.08 | 130 | 0.5151 |
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- | 0.3714 | 2.24 | 140 | 0.5137 |
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- | 0.3955 | 2.4 | 150 | 0.5229 |
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- | 0.3588 | 2.56 | 160 | 0.5221 |
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- | 0.4196 | 2.72 | 170 | 0.5215 |
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- | 0.4238 | 2.88 | 180 | 0.5084 |
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- | 0.3322 | 3.04 | 190 | 0.5015 |
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- | 0.335 | 3.2 | 200 | 0.5066 |
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- | 0.3719 | 3.36 | 210 | 0.5040 |
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- | 0.3431 | 3.52 | 220 | 0.5165 |
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- | 0.3521 | 3.68 | 230 | 0.5223 |
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- | 0.3135 | 3.84 | 240 | 0.5296 |
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- | 0.3436 | 4.0 | 250 | 0.5370 |
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- | 0.3023 | 4.16 | 260 | 0.5298 |
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- | 0.3031 | 4.32 | 270 | 0.5228 |
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- | 0.3173 | 4.48 | 280 | 0.5207 |
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- | 0.2975 | 4.64 | 290 | 0.5292 |
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- | 0.322 | 4.8 | 300 | 0.5417 |
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- | 0.3355 | 4.96 | 310 | 0.5525 |
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- | 0.2963 | 5.12 | 320 | 0.5545 |
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- | 0.2544 | 5.28 | 330 | 0.5579 |
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- | 0.2659 | 5.44 | 340 | 0.5589 |
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- | 0.286 | 5.6 | 350 | 0.5571 |
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- | 0.2967 | 5.76 | 360 | 0.5603 |
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- | 0.2925 | 5.92 | 370 | 0.5603 |
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- | 0.2866 | 6.08 | 380 | 0.5599 |
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- | 0.2724 | 6.24 | 390 | 0.5574 |
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- | 0.2695 | 6.4 | 400 | 0.5599 |
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- | 0.2679 | 6.56 | 410 | 0.5609 |
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- | 0.2599 | 6.72 | 420 | 0.5614 |
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- | 0.2319 | 6.88 | 430 | 0.5618 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Gayathri142214002/t5_Question_Generation](https://huggingface.co/Gayathri142214002/t5_Question_Generation) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5549
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0256 | 0.25 | 100 | 0.7578 |
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+ | 0.7848 | 0.5 | 200 | 0.6872 |
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+ | 0.6682 | 0.75 | 300 | 0.6440 |
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+ | 0.6444 | 1.0 | 400 | 0.5939 |
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+ | 0.4903 | 1.25 | 500 | 0.5944 |
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+ | 0.4894 | 1.5 | 600 | 0.5675 |
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+ | 0.5001 | 1.75 | 700 | 0.5546 |
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+ | 0.4891 | 2.0 | 800 | 0.5469 |
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+ | 0.3779 | 2.25 | 900 | 0.5523 |
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+ | 0.3802 | 2.5 | 1000 | 0.5609 |
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+ | 0.395 | 2.74 | 1100 | 0.5483 |
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+ | 0.3916 | 2.99 | 1200 | 0.5482 |
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+ | 0.3383 | 3.24 | 1300 | 0.5634 |
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+ | 0.3391 | 3.49 | 1400 | 0.5629 |
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+ | 0.3294 | 3.74 | 1500 | 0.5573 |
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+ | 0.3363 | 3.99 | 1600 | 0.5413 |
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+ | 0.2851 | 4.24 | 1700 | 0.5533 |
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+ | 0.3032 | 4.49 | 1800 | 0.5575 |
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+ | 0.2995 | 4.74 | 1900 | 0.5548 |
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+ | 0.3091 | 4.99 | 2000 | 0.5396 |
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+ | 0.2606 | 5.24 | 2100 | 0.5420 |
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+ | 0.2622 | 5.49 | 2200 | 0.5468 |
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+ | 0.2817 | 5.74 | 2300 | 0.5460 |
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+ | 0.2743 | 5.99 | 2400 | 0.5473 |
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+ | 0.2501 | 6.24 | 2500 | 0.5542 |
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+ | 0.2484 | 6.49 | 2600 | 0.5558 |
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+ | 0.2388 | 6.74 | 2700 | 0.5542 |
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+ | 0.2414 | 6.99 | 2800 | 0.5549 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions