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AkshayPM
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ingredient_prune

Text2Text Generation
Transformers
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Safetensors
t5
Generated from Trainer
text-generation-inference
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End of training

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Files changed (4) hide show
  1. README.md +28 -28
  2. model.safetensors +1 -1
  3. runs/Apr06_19-38-22_df7953592bde/events.out.tfevents.1712432304.df7953592bde.168.5 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2018
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  ## Model description
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@@ -47,33 +47,33 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 39.0395 | 0.18 | 10 | 30.1666 |
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- | 27.5876 | 0.36 | 20 | 23.1285 |
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- | 21.9824 | 0.55 | 30 | 17.2385 |
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- | 16.8452 | 0.73 | 40 | 10.8293 |
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- | 11.1553 | 0.91 | 50 | 5.0431 |
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- | 6.1752 | 1.09 | 60 | 4.6396 |
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- | 4.8708 | 1.27 | 70 | 4.3011 |
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- | 4.4554 | 1.45 | 80 | 4.0471 |
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- | 4.1943 | 1.64 | 90 | 3.7154 |
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- | 3.9044 | 1.82 | 100 | 3.1968 |
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- | 3.5864 | 2.0 | 110 | 2.3071 |
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- | 3.1636 | 2.18 | 120 | 1.8411 |
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- | 2.8553 | 2.36 | 130 | 1.4955 |
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- | 2.5529 | 2.55 | 140 | 1.0021 |
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- | 2.2553 | 2.73 | 150 | 0.7530 |
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- | 2.0304 | 2.91 | 160 | 0.5824 |
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- | 1.8688 | 3.09 | 170 | 0.4747 |
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- | 1.6293 | 3.27 | 180 | 0.4005 |
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- | 1.4917 | 3.45 | 190 | 0.3412 |
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- | 1.3796 | 3.64 | 200 | 0.3045 |
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- | 1.302 | 3.82 | 210 | 0.2795 |
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- | 1.1844 | 4.0 | 220 | 0.2558 |
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- | 1.1224 | 4.18 | 230 | 0.2352 |
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- | 1.0812 | 4.36 | 240 | 0.2202 |
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- | 1.0095 | 4.55 | 250 | 0.2108 |
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- | 0.9916 | 4.73 | 260 | 0.2050 |
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- | 0.9681 | 4.91 | 270 | 0.2018 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2225
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 39.4365 | 0.18 | 10 | 29.9101 |
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+ | 27.4071 | 0.36 | 20 | 21.3978 |
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+ | 21.0143 | 0.55 | 30 | 14.7862 |
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+ | 15.3673 | 0.73 | 40 | 7.5767 |
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+ | 9.3567 | 0.91 | 50 | 4.9768 |
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+ | 6.0816 | 1.09 | 60 | 4.6592 |
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+ | 4.8826 | 1.27 | 70 | 4.4078 |
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+ | 4.5129 | 1.45 | 80 | 4.1312 |
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+ | 4.2456 | 1.64 | 90 | 3.7785 |
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+ | 3.9613 | 1.82 | 100 | 3.3404 |
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+ | 3.692 | 2.0 | 110 | 2.6398 |
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+ | 3.2966 | 2.18 | 120 | 1.9242 |
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+ | 2.9618 | 2.36 | 130 | 1.8132 |
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+ | 2.6779 | 2.55 | 140 | 1.2154 |
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+ | 2.391 | 2.73 | 150 | 0.9157 |
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+ | 2.1434 | 2.91 | 160 | 0.7354 |
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+ | 1.9735 | 3.09 | 170 | 0.5846 |
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+ | 1.7793 | 3.27 | 180 | 0.4947 |
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+ | 1.6103 | 3.45 | 190 | 0.4066 |
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+ | 1.4886 | 3.64 | 200 | 0.3527 |
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+ | 1.3962 | 3.82 | 210 | 0.3057 |
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+ | 1.2716 | 4.0 | 220 | 0.2762 |
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+ | 1.2383 | 4.18 | 230 | 0.2563 |
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+ | 1.1492 | 4.36 | 240 | 0.2419 |
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+ | 1.0966 | 4.55 | 250 | 0.2314 |
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+ | 1.0863 | 4.73 | 260 | 0.2255 |
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+ | 1.0626 | 4.91 | 270 | 0.2225 |
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  ### Framework versions
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