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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: CIS6930_DAAGR_T5_NoEmo
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# CIS6930_DAAGR_T5_NoEmo
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3368
- Train Accuracy: 0.9629
- Validation Loss: 0.4438
- Validation Accuracy: 0.9496
- Epoch: 17
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.5062 | 0.9405 | 0.4590 | 0.9454 | 0 |
| 0.4381 | 0.9479 | 0.4477 | 0.9472 | 1 |
| 0.4249 | 0.9499 | 0.4423 | 0.9481 | 2 |
| 0.4152 | 0.9513 | 0.4386 | 0.9486 | 3 |
| 0.4071 | 0.9525 | 0.4365 | 0.9490 | 4 |
| 0.4000 | 0.9535 | 0.4349 | 0.9493 | 5 |
| 0.3935 | 0.9545 | 0.4338 | 0.9496 | 6 |
| 0.3876 | 0.9553 | 0.4337 | 0.9498 | 7 |
| 0.3816 | 0.9562 | 0.4338 | 0.9498 | 8 |
| 0.3763 | 0.9571 | 0.4343 | 0.9499 | 9 |
| 0.3708 | 0.9578 | 0.4338 | 0.9500 | 10 |
| 0.3657 | 0.9586 | 0.4357 | 0.9498 | 11 |
| 0.3605 | 0.9593 | 0.4355 | 0.9500 | 12 |
| 0.3556 | 0.9601 | 0.4370 | 0.9499 | 13 |
| 0.3507 | 0.9608 | 0.4380 | 0.9499 | 14 |
| 0.3463 | 0.9615 | 0.4397 | 0.9498 | 15 |
| 0.3413 | 0.9622 | 0.4427 | 0.9496 | 16 |
| 0.3368 | 0.9629 | 0.4438 | 0.9496 | 17 |
### Framework versions
- Transformers 4.27.4
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.2
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