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Sarathbabu-Karunanithi
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GK_10000

Text2Text Generation
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Sarathbabu-Karunanithi/GK_10000

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Jul28_16-42-03_eeac64c25952/events.out.tfevents.1722184935.eeac64c25952.395.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -6,22 +6,22 @@ tags:
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  metrics:
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  - rouge
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  model-index:
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- - name: results
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # results
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- This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the MuskumPillerum/General-Knowledge dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3572
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- - Rouge1: 0.5391
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- - Rouge2: 0.4088
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- - Rougel: 0.5165
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- - Rougelsum: 0.5194
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  ## Model description
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@@ -52,9 +52,9 @@ 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 | 88 | 1.5434 | 0.4640 | 0.3213 | 0.4355 | 0.4394 |
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- | No log | 2.0 | 176 | 1.3913 | 0.5415 | 0.4119 | 0.5197 | 0.5240 |
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- | No log | 3.0 | 264 | 1.3572 | 0.5391 | 0.4088 | 0.5165 | 0.5194 |
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  ### Framework versions
 
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  metrics:
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  - rouge
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  model-index:
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+ - name: GK_10000
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # GK_10000
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9931
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+ - Rouge1: 0.4006
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+ - Rouge2: 0.2788
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+ - Rougel: 0.3740
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+ - Rougelsum: 0.3800
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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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+ | 2.554 | 1.0 | 875 | 2.0791 | 0.3957 | 0.2732 | 0.3694 | 0.3759 |
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+ | 2.2115 | 2.0 | 1750 | 2.0134 | 0.3943 | 0.2722 | 0.3670 | 0.3738 |
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+ | 2.0677 | 3.0 | 2625 | 1.9931 | 0.4006 | 0.2788 | 0.3740 | 0.3800 |
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  ### Framework versions
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