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--- |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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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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- Transformers 4.27.4 |
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- TensorFlow 2.11.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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