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azeddinShr
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summarisation_arxiv_model

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text2text-generation
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text-generation-inference
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End of training

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  1. README.md +16 -10
  2. runs/Oct02_15-50-53_188d4331e787/events.out.tfevents.1727884254.188d4331e787.30.0 +2 -2
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5210
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- - Rouge1: 0.1784
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- - Rouge2: 0.0668
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- - Rougel: 0.1423
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- - Rougelsum: 0.1423
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  - Gen Len: 19.0
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  ## Model description
@@ -48,17 +48,23 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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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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- | No log | 1.0 | 403 | 2.5265 | 0.1783 | 0.0667 | 0.1425 | 0.1425 | 19.0 |
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- | 2.6744 | 2.0 | 806 | 2.5242 | 0.1779 | 0.0666 | 0.1422 | 0.1422 | 19.0 |
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- | 2.6642 | 3.0 | 1209 | 2.5206 | 0.1784 | 0.0669 | 0.1425 | 0.1425 | 19.0 |
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- | 2.6614 | 4.0 | 1612 | 2.5210 | 0.1784 | 0.0668 | 0.1423 | 0.1423 | 19.0 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6373
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+ - Rouge1: 0.1729
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+ - Rouge2: 0.0617
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+ - Rougel: 0.1378
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+ - Rougelsum: 0.1377
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  - Gen Len: 19.0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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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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+ | No log | 1.0 | 403 | 2.7717 | 0.1646 | 0.0557 | 0.1319 | 0.1319 | 19.0 |
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+ | 3.0546 | 2.0 | 806 | 2.7195 | 0.1684 | 0.0585 | 0.1347 | 0.1346 | 19.0 |
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+ | 2.8771 | 3.0 | 1209 | 2.6899 | 0.1695 | 0.0597 | 0.1356 | 0.1356 | 19.0 |
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+ | 2.8364 | 4.0 | 1612 | 2.6719 | 0.1716 | 0.0606 | 0.137 | 0.1369 | 19.0 |
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+ | 2.8058 | 5.0 | 2015 | 2.6585 | 0.1718 | 0.061 | 0.1371 | 0.137 | 19.0 |
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+ | 2.8058 | 6.0 | 2418 | 2.6504 | 0.1721 | 0.0616 | 0.1374 | 0.1373 | 19.0 |
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+ | 2.7852 | 7.0 | 2821 | 2.6453 | 0.1726 | 0.0618 | 0.1378 | 0.1377 | 19.0 |
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+ | 2.778 | 8.0 | 3224 | 2.6404 | 0.1728 | 0.0618 | 0.1378 | 0.1377 | 19.0 |
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+ | 2.7612 | 9.0 | 3627 | 2.6386 | 0.1725 | 0.0615 | 0.1375 | 0.1374 | 19.0 |
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+ | 2.7644 | 10.0 | 4030 | 2.6373 | 0.1729 | 0.0617 | 0.1378 | 0.1377 | 19.0 |
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  ### Framework versions
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