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Michael-Vptn
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ecolibrium

Text2Text Generation
Transformers
TensorFlow
t5
generated_from_keras_callback
text-generation-inference
Inference Endpoints
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Upload TFT5ForConditionalGeneration

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  1. README.md +53 -13
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.9777
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- - Validation Loss: 0.7490
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- - Epoch: 9
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  ## Model description
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@@ -43,16 +43,56 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 1.6156 | 1.3852 | 0 |
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- | 1.4273 | 1.2637 | 1 |
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- | 1.3333 | 1.1663 | 2 |
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- | 1.2617 | 1.0908 | 3 |
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- | 1.1973 | 1.0173 | 4 |
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- | 1.1480 | 0.9517 | 5 |
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- | 1.0980 | 0.8999 | 6 |
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- | 1.0536 | 0.8454 | 7 |
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- | 1.0183 | 0.7990 | 8 |
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- | 0.9777 | 0.7490 | 9 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.3202
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+ - Validation Loss: 0.0689
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+ - Epoch: 49
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 1.6155 | 1.3909 | 0 |
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+ | 1.4232 | 1.2592 | 1 |
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+ | 1.3301 | 1.1768 | 2 |
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+ | 1.2562 | 1.0908 | 3 |
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+ | 1.1925 | 1.0136 | 4 |
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+ | 1.1417 | 0.9589 | 5 |
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+ | 1.0953 | 0.9173 | 6 |
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+ | 1.0502 | 0.8531 | 7 |
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+ | 1.0103 | 0.8009 | 8 |
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+ | 0.9761 | 0.7488 | 9 |
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+ | 0.9404 | 0.7100 | 10 |
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+ | 0.9095 | 0.6793 | 11 |
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+ | 0.8743 | 0.6319 | 12 |
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+ | 0.8480 | 0.6139 | 13 |
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+ | 0.8233 | 0.5741 | 14 |
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+ | 0.7942 | 0.5479 | 15 |
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+ | 0.7697 | 0.5176 | 16 |
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+ | 0.7456 | 0.4847 | 17 |
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+ | 0.7250 | 0.4650 | 18 |
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+ | 0.6996 | 0.4370 | 19 |
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+ | 0.6790 | 0.4141 | 20 |
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+ | 0.6607 | 0.3959 | 21 |
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+ | 0.6428 | 0.3666 | 22 |
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+ | 0.6249 | 0.3511 | 23 |
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+ | 0.6060 | 0.3344 | 24 |
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+ | 0.5944 | 0.3178 | 25 |
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+ | 0.5750 | 0.2942 | 26 |
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+ | 0.5607 | 0.2787 | 27 |
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+ | 0.5453 | 0.2608 | 28 |
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+ | 0.5317 | 0.2472 | 29 |
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+ | 0.5146 | 0.2365 | 30 |
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+ | 0.5017 | 0.2146 | 31 |
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+ | 0.4909 | 0.2078 | 32 |
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+ | 0.4764 | 0.1945 | 33 |
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+ | 0.4664 | 0.1831 | 34 |
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+ | 0.4517 | 0.1703 | 35 |
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+ | 0.4397 | 0.1643 | 36 |
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+ | 0.4316 | 0.1588 | 37 |
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+ | 0.4196 | 0.1428 | 38 |
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+ | 0.4073 | 0.1311 | 39 |
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+ | 0.3949 | 0.1232 | 40 |
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+ | 0.3871 | 0.1175 | 41 |
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+ | 0.3776 | 0.1105 | 42 |
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+ | 0.3705 | 0.1025 | 43 |
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+ | 0.3623 | 0.0959 | 44 |
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+ | 0.3514 | 0.0928 | 45 |
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+ | 0.3427 | 0.0828 | 46 |
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+ | 0.3346 | 0.0799 | 47 |
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+ | 0.3268 | 0.0736 | 48 |
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+ | 0.3202 | 0.0689 | 49 |
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  ### Framework versions
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@@ -1,3 +1,3 @@
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