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Logeswaransr
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AI_Chaperone

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
Logeswaransr commited on
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1 Parent(s): f892ab0

End of training

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  1. README.md +15 -15
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4868
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- - Rouge1: 0.1544
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- - Rouge2: 0.0388
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- - Rougel: 0.1494
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- - Rougelsum: 0.1493
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | No log | 1.0 | 375 | 0.8740 | 0.1454 | 0.0294 | 0.1416 | 0.1420 |
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- | 1.2229 | 2.0 | 750 | 0.8700 | 0.1572 | 0.0445 | 0.1526 | 0.1533 |
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- | 0.6201 | 3.0 | 1125 | 0.9088 | 0.1639 | 0.0461 | 0.1616 | 0.1606 |
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- | 0.4623 | 4.0 | 1500 | 0.9650 | 0.1581 | 0.0457 | 0.1533 | 0.1537 |
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- | 0.4623 | 5.0 | 1875 | 1.0441 | 0.1487 | 0.0332 | 0.1436 | 0.1437 |
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- | 0.3399 | 6.0 | 2250 | 1.1880 | 0.1581 | 0.0436 | 0.1528 | 0.1533 |
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- | 0.2692 | 7.0 | 2625 | 1.2633 | 0.1582 | 0.0423 | 0.1539 | 0.1547 |
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- | 0.2233 | 8.0 | 3000 | 1.3449 | 0.1624 | 0.0409 | 0.1590 | 0.1593 |
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- | 0.2233 | 9.0 | 3375 | 1.4225 | 0.1555 | 0.0401 | 0.1513 | 0.1507 |
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- | 0.183 | 10.0 | 3750 | 1.4868 | 0.1544 | 0.0388 | 0.1494 | 0.1493 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3785
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+ - Rouge1: 0.1505
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+ - Rouge2: 0.0376
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+ - Rougel: 0.1461
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+ - Rougelsum: 0.1475
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 380 | 0.8274 | 0.1131 | 0.0226 | 0.1105 | 0.1109 |
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+ | 1.2345 | 2.0 | 760 | 0.8217 | 0.1146 | 0.0229 | 0.1124 | 0.1133 |
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+ | 0.6137 | 3.0 | 1140 | 0.8487 | 0.1316 | 0.0277 | 0.1260 | 0.1277 |
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+ | 0.4624 | 4.0 | 1520 | 0.9179 | 0.1382 | 0.0286 | 0.1333 | 0.1343 |
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+ | 0.4624 | 5.0 | 1900 | 0.9816 | 0.1430 | 0.0288 | 0.1371 | 0.1391 |
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+ | 0.3444 | 6.0 | 2280 | 1.0601 | 0.1545 | 0.0362 | 0.1510 | 0.1517 |
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+ | 0.2751 | 7.0 | 2660 | 1.1619 | 0.1520 | 0.0335 | 0.1481 | 0.1483 |
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+ | 0.2223 | 8.0 | 3040 | 1.2493 | 0.1515 | 0.0349 | 0.1472 | 0.1475 |
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+ | 0.2223 | 9.0 | 3420 | 1.3379 | 0.1500 | 0.0381 | 0.1451 | 0.1464 |
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+ | 0.1844 | 10.0 | 3800 | 1.3785 | 0.1505 | 0.0376 | 0.1461 | 0.1475 |
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  ### Framework versions
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