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hawalurahman
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idt5-base-qaqg_v3

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3401
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- - Rouge1: 0.3492
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- - Rouge2: 0.1828
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- - Rougel: 0.3286
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- - Rougelsum: 0.3286
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- - Bleu: 0.0958
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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- | 1.5829 | 1.0 | 4695 | 1.4731 | 0.3294 | 0.1679 | 0.3099 | 0.3099 | 0.0901 |
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- | 1.3887 | 2.0 | 9390 | 1.3800 | 0.3385 | 0.1742 | 0.3196 | 0.3196 | 0.0906 |
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- | 1.2682 | 3.0 | 14085 | 1.3448 | 0.3446 | 0.1790 | 0.3240 | 0.3240 | 0.0946 |
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- | 1.1493 | 4.0 | 18780 | 1.3394 | 0.3483 | 0.1828 | 0.3285 | 0.3286 | 0.0935 |
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- | 1.0995 | 5.0 | 23475 | 1.3401 | 0.3492 | 0.1828 | 0.3286 | 0.3286 | 0.0958 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2682
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+ - Rouge1: 0.4226
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+ - Rouge2: 0.2332
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+ - Rougel: 0.3923
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+ - Rougelsum: 0.3933
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+ - Bleu: 0.1876
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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+ | 1.381 | 1.0 | 4695 | 1.4000 | 0.3908 | 0.2059 | 0.3639 | 0.3646 | 0.1639 |
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+ | 1.2256 | 2.0 | 9390 | 1.3096 | 0.4033 | 0.2145 | 0.3754 | 0.3762 | 0.1712 |
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+ | 1.1113 | 3.0 | 14085 | 1.2807 | 0.4156 | 0.2262 | 0.3859 | 0.3867 | 0.1808 |
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+ | 1.0142 | 4.0 | 18780 | 1.2694 | 0.4198 | 0.2301 | 0.3895 | 0.3906 | 0.1864 |
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+ | 0.9693 | 5.0 | 23475 | 1.2682 | 0.4226 | 0.2332 | 0.3923 | 0.3933 | 0.1876 |
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  ### Framework versions
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