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ingredient_prune

Text2Text Generation
Transformers
TensorBoard
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_18-24-54_df7953592bde/events.out.tfevents.1712427896.df7953592bde.168.3 +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: 0.3196
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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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- | 40.04 | 0.18 | 10 | 30.2044 |
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- | 28.2106 | 0.36 | 20 | 22.6394 |
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- | 22.4239 | 0.55 | 30 | 16.8570 |
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- | 17.149 | 0.73 | 40 | 10.1178 |
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- | 11.379 | 0.91 | 50 | 5.1010 |
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- | 6.6773 | 1.09 | 60 | 4.7149 |
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- | 5.0559 | 1.27 | 70 | 4.4758 |
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- | 4.6474 | 1.45 | 80 | 4.2656 |
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- | 4.3934 | 1.64 | 90 | 3.9831 |
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- | 4.1421 | 1.82 | 100 | 3.6196 |
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- | 3.9066 | 2.0 | 110 | 3.0985 |
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- | 3.5465 | 2.18 | 120 | 2.4730 |
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- | 3.1722 | 2.36 | 130 | 1.8153 |
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- | 2.8787 | 2.55 | 140 | 1.5002 |
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- | 2.564 | 2.73 | 150 | 1.1748 |
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- | 2.296 | 2.91 | 160 | 0.9380 |
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- | 2.135 | 3.09 | 170 | 0.7860 |
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- | 1.9049 | 3.27 | 180 | 0.6740 |
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- | 1.7388 | 3.45 | 190 | 0.5633 |
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- | 1.5868 | 3.64 | 200 | 0.4853 |
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- | 1.5128 | 3.82 | 210 | 0.4449 |
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- | 1.3889 | 4.0 | 220 | 0.4066 |
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- | 1.3273 | 4.18 | 230 | 0.3800 |
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- | 1.2965 | 4.36 | 240 | 0.3589 |
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- | 1.1939 | 4.55 | 250 | 0.3389 |
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- | 1.2203 | 4.73 | 260 | 0.3254 |
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- | 1.1422 | 4.91 | 270 | 0.3196 |
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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: 0.2436
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 39.4526 | 0.18 | 10 | 30.3809 |
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+ | 27.667 | 0.36 | 20 | 22.8572 |
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+ | 21.9725 | 0.55 | 30 | 17.0515 |
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+ | 16.8644 | 0.73 | 40 | 10.5651 |
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+ | 11.1674 | 0.91 | 50 | 5.0759 |
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+ | 6.118 | 1.09 | 60 | 4.6133 |
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+ | 4.9081 | 1.27 | 70 | 4.3195 |
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+ | 4.4828 | 1.45 | 80 | 4.0760 |
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+ | 4.2396 | 1.64 | 90 | 3.7275 |
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+ | 3.9506 | 1.82 | 100 | 3.2074 |
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+ | 3.6429 | 2.0 | 110 | 2.3281 |
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+ | 3.2367 | 2.18 | 120 | 1.9763 |
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+ | 2.9215 | 2.36 | 130 | 1.6481 |
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+ | 2.6303 | 2.55 | 140 | 1.1401 |
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+ | 2.3688 | 2.73 | 150 | 0.9394 |
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+ | 2.1479 | 2.91 | 160 | 0.7354 |
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+ | 1.9545 | 3.09 | 170 | 0.5833 |
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+ | 1.7575 | 3.27 | 180 | 0.4979 |
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+ | 1.6226 | 3.45 | 190 | 0.4317 |
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+ | 1.5458 | 3.64 | 200 | 0.3730 |
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+ | 1.3763 | 3.82 | 210 | 0.3325 |
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+ | 1.2912 | 4.0 | 220 | 0.3094 |
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+ | 1.2131 | 4.18 | 230 | 0.2873 |
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+ | 1.1808 | 4.36 | 240 | 0.2664 |
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+ | 1.1173 | 4.55 | 250 | 0.2535 |
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+ | 1.1101 | 4.73 | 260 | 0.2467 |
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+ | 1.058 | 4.91 | 270 | 0.2436 |
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  ### Framework versions
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