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mHossain
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ml_sum_v3

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

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar09_21-53-03_c42e224d8747/events.out.tfevents.1710021216.c42e224d8747.817.0 +2 -2
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mHossain/ml_sum_v2](https://huggingface.co/mHossain/ml_sum_v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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- - Rouge1: 0.0
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- - Rouge2: 0.0
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- - Rougel: 0.0
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- - Rougelsum: 0.0
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- - Gen Len: 0.0
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  ## Model description
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@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
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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 | 312 | 0.3728 | 0.0844 | 0.0536 | 0.0844 | 0.0844 | 19.0 |
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- | 0.4276 | 2.0 | 625 | 0.3728 | 0.0844 | 0.0536 | 0.0844 | 0.0844 | 19.0 |
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- | 0.4276 | 3.0 | 937 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.7627 | 3.99 | 1248 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mHossain/ml_sum_v2](https://huggingface.co/mHossain/ml_sum_v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2395
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+ - Rouge1: 13.9684
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+ - Rouge2: 5.8112
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+ - Rougel: 12.261
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+ - Rougelsum: 13.2677
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+ - Gen Len: 19.0
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  ## Model description
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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 | 312 | 2.2395 | 13.955 | 5.7928 | 12.2638 | 13.284 | 19.0 |
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+ | 2.6822 | 2.0 | 625 | 2.2395 | 13.9706 | 5.8212 | 12.2727 | 13.2752 | 19.0 |
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+ | 2.6822 | 3.0 | 937 | 2.2395 | 13.9642 | 5.8154 | 12.2569 | 13.2648 | 19.0 |
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+ | 2.658 | 3.99 | 1248 | 2.2395 | 13.9684 | 5.8112 | 12.261 | 13.2677 | 19.0 |
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  ### Framework versions
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