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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 +19 -12
  2. model.safetensors +1 -1
  3. runs/Apr07_07-29-06_eb65d89abfe0/events.out.tfevents.1712474948.eb65d89abfe0.34.0 +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: 0.0153
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  ## Model description
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@@ -47,17 +47,24 @@ 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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- | 17.0417 | 1.82 | 100 | 4.0933 |
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- | 2.66 | 3.64 | 200 | 0.3448 |
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- | 0.4315 | 5.45 | 300 | 0.0862 |
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- | 0.1 | 7.27 | 400 | 0.0291 |
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- | 0.0454 | 9.09 | 500 | 0.0219 |
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- | 0.0293 | 10.91 | 600 | 0.0176 |
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- | 0.0212 | 12.73 | 700 | 0.0165 |
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- | 0.0186 | 14.55 | 800 | 0.0155 |
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- | 0.0155 | 16.36 | 900 | 0.0155 |
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- | 0.0159 | 18.18 | 1000 | 0.0152 |
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- | 0.0137 | 20.0 | 1100 | 0.0153 |
 
 
 
 
 
 
 
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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: 0.0141
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 16.9156 | 1.08 | 100 | 4.0318 |
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+ | 2.4758 | 2.15 | 200 | 0.2854 |
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+ | 0.3554 | 3.23 | 300 | 0.0533 |
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+ | 0.0788 | 4.3 | 400 | 0.0233 |
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+ | 0.0377 | 5.38 | 500 | 0.0173 |
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+ | 0.0254 | 6.45 | 600 | 0.0153 |
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+ | 0.0205 | 7.53 | 700 | 0.0142 |
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+ | 0.0158 | 8.6 | 800 | 0.0139 |
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+ | 0.0148 | 9.68 | 900 | 0.0138 |
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+ | 0.0135 | 10.75 | 1000 | 0.0138 |
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+ | 0.0116 | 11.83 | 1100 | 0.0135 |
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+ | 0.0121 | 12.9 | 1200 | 0.0135 |
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+ | 0.0106 | 13.98 | 1300 | 0.0138 |
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+ | 0.0097 | 15.05 | 1400 | 0.0136 |
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+ | 0.0093 | 16.13 | 1500 | 0.0136 |
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+ | 0.0094 | 17.2 | 1600 | 0.0139 |
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+ | 0.0093 | 18.28 | 1700 | 0.0140 |
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+ | 0.0097 | 19.35 | 1800 | 0.0141 |
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  ### Framework versions
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