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CIS6930_DAAGR_T5_Emo

Text2Text Generation
Transformers
TensorFlow
t5
generated_from_keras_callback
Inference Endpoints
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  1. README.md +27 -20
  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
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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
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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: 0.3760
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- - Train Accuracy: 0.9575
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- - Validation Loss: 0.4525
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- - Validation Accuracy: 0.9478
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- - Epoch: 12
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  ## Model description
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@@ -44,19 +44,26 @@ 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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- | 0.5116 | 0.9392 | 0.4766 | 0.9433 | 0 |
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- | 0.4547 | 0.9459 | 0.4653 | 0.9450 | 1 |
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- | 0.4407 | 0.9480 | 0.4599 | 0.9460 | 2 |
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- | 0.4306 | 0.9495 | 0.4562 | 0.9465 | 3 |
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- | 0.4224 | 0.9507 | 0.4539 | 0.9469 | 4 |
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- | 0.4153 | 0.9518 | 0.4522 | 0.9473 | 5 |
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- | 0.4085 | 0.9527 | 0.4513 | 0.9474 | 6 |
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- | 0.4025 | 0.9536 | 0.4503 | 0.9477 | 7 |
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- | 0.3967 | 0.9545 | 0.4506 | 0.9478 | 8 |
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- | 0.3912 | 0.9553 | 0.4510 | 0.9478 | 9 |
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- | 0.3860 | 0.9561 | 0.4509 | 0.9479 | 10 |
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- | 0.3808 | 0.9569 | 0.4514 | 0.9479 | 11 |
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- | 0.3760 | 0.9575 | 0.4525 | 0.9478 | 12 |
 
 
 
 
 
 
 
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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_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: 0.3253
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+ - Train Accuracy: 0.9647
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+ - Validation Loss: 0.4468
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+ - Validation Accuracy: 0.9495
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+ - Epoch: 19
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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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+ | 0.4976 | 0.9412 | 0.4567 | 0.9459 | 0 |
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+ | 0.4359 | 0.9482 | 0.4462 | 0.9474 | 1 |
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+ | 0.4228 | 0.9502 | 0.4406 | 0.9484 | 2 |
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+ | 0.4131 | 0.9517 | 0.4370 | 0.9488 | 3 |
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+ | 0.4050 | 0.9528 | 0.4349 | 0.9493 | 4 |
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+ | 0.3981 | 0.9539 | 0.4335 | 0.9496 | 5 |
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+ | 0.3914 | 0.9548 | 0.4327 | 0.9498 | 6 |
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+ | 0.3851 | 0.9558 | 0.4328 | 0.9500 | 7 |
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+ | 0.3794 | 0.9565 | 0.4328 | 0.9501 | 8 |
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+ | 0.3738 | 0.9574 | 0.4321 | 0.9502 | 9 |
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+ | 0.3685 | 0.9582 | 0.4328 | 0.9502 | 10 |
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+ | 0.3632 | 0.9589 | 0.4340 | 0.9502 | 11 |
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+ | 0.3582 | 0.9597 | 0.4343 | 0.9501 | 12 |
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+ | 0.3531 | 0.9605 | 0.4363 | 0.9501 | 13 |
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+ | 0.3482 | 0.9612 | 0.4381 | 0.9501 | 14 |
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+ | 0.3436 | 0.9619 | 0.4390 | 0.9500 | 15 |
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+ | 0.3391 | 0.9626 | 0.4396 | 0.9500 | 16 |
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+ | 0.3340 | 0.9633 | 0.4438 | 0.9499 | 17 |
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+ | 0.3297 | 0.9640 | 0.4454 | 0.9498 | 18 |
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+ | 0.3253 | 0.9647 | 0.4468 | 0.9495 | 19 |
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  ### Framework versions
tf_model.h5 CHANGED
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