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CIS6930_DAAGR_T5_NoEmo

Text2Text Generation
Transformers
TensorFlow
t5
generated_from_keras_callback
Inference Endpoints
text-generation-inference
Model card Files Community
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Upload TFT5ForConditionalGeneration

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  1. README.md +25 -22
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -3,22 +3,22 @@ license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: CIS6930_DAAGR_T5_emo
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # CIS6930_DAAGR_T5_emo
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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: 0.3698
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- - Train Accuracy: 0.9584
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- - Validation Loss: 0.4586
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- - Validation Accuracy: 0.9472
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- - Epoch: 14
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  ## Model description
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@@ -44,21 +44,24 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.5130 | 0.9390 | 0.4789 | 0.9431 | 0 |
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- | 0.4570 | 0.9456 | 0.4682 | 0.9446 | 1 |
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- | 0.4434 | 0.9477 | 0.4624 | 0.9454 | 2 |
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- | 0.4334 | 0.9490 | 0.4594 | 0.9459 | 3 |
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- | 0.4250 | 0.9503 | 0.4570 | 0.9464 | 4 |
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- | 0.4180 | 0.9513 | 0.4556 | 0.9466 | 5 |
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- | 0.4114 | 0.9523 | 0.4545 | 0.9469 | 6 |
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- | 0.4052 | 0.9532 | 0.4537 | 0.9471 | 7 |
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- | 0.3997 | 0.9540 | 0.4541 | 0.9471 | 8 |
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- | 0.3943 | 0.9548 | 0.4533 | 0.9473 | 9 |
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- | 0.3891 | 0.9556 | 0.4538 | 0.9474 | 10 |
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- | 0.3838 | 0.9563 | 0.4549 | 0.9474 | 11 |
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- | 0.3791 | 0.9570 | 0.4558 | 0.9474 | 12 |
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- | 0.3744 | 0.9577 | 0.4573 | 0.9473 | 13 |
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- | 0.3698 | 0.9584 | 0.4586 | 0.9472 | 14 |
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: CIS6930_DAAGR_T5_NoEmo
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # CIS6930_DAAGR_T5_NoEmo
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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: 0.3368
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+ - Train Accuracy: 0.9629
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+ - Validation Loss: 0.4438
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+ - Validation Accuracy: 0.9496
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+ - Epoch: 17
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  ## Model description
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.5062 | 0.9405 | 0.4590 | 0.9454 | 0 |
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+ | 0.4381 | 0.9479 | 0.4477 | 0.9472 | 1 |
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+ | 0.4249 | 0.9499 | 0.4423 | 0.9481 | 2 |
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+ | 0.4152 | 0.9513 | 0.4386 | 0.9486 | 3 |
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+ | 0.4071 | 0.9525 | 0.4365 | 0.9490 | 4 |
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+ | 0.4000 | 0.9535 | 0.4349 | 0.9493 | 5 |
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+ | 0.3935 | 0.9545 | 0.4338 | 0.9496 | 6 |
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+ | 0.3876 | 0.9553 | 0.4337 | 0.9498 | 7 |
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+ | 0.3816 | 0.9562 | 0.4338 | 0.9498 | 8 |
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+ | 0.3763 | 0.9571 | 0.4343 | 0.9499 | 9 |
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+ | 0.3708 | 0.9578 | 0.4338 | 0.9500 | 10 |
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+ | 0.3657 | 0.9586 | 0.4357 | 0.9498 | 11 |
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+ | 0.3605 | 0.9593 | 0.4355 | 0.9500 | 12 |
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+ | 0.3556 | 0.9601 | 0.4370 | 0.9499 | 13 |
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+ | 0.3507 | 0.9608 | 0.4380 | 0.9499 | 14 |
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+ | 0.3463 | 0.9615 | 0.4397 | 0.9498 | 15 |
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+ | 0.3413 | 0.9622 | 0.4427 | 0.9496 | 16 |
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+ | 0.3368 | 0.9629 | 0.4438 | 0.9496 | 17 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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