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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: demo |
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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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# demo |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-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: 1.1764 |
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- Validation Loss: 0.9237 |
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- Epoch: 24 |
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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': 2e-05, '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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 1.6824 | 1.3619 | 0 | |
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| 1.5733 | 1.3030 | 1 | |
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| 1.5199 | 1.2730 | 2 | |
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| 1.4833 | 1.2379 | 3 | |
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| 1.4591 | 1.2201 | 4 | |
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| 1.4278 | 1.1945 | 5 | |
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| 1.4101 | 1.1755 | 6 | |
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| 1.3870 | 1.1561 | 7 | |
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| 1.3740 | 1.1366 | 8 | |
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| 1.3559 | 1.1163 | 9 | |
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| 1.3420 | 1.1007 | 10 | |
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| 1.3265 | 1.0871 | 11 | |
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| 1.3082 | 1.0708 | 12 | |
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| 1.2984 | 1.0586 | 13 | |
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| 1.2832 | 1.0429 | 14 | |
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| 1.2724 | 1.0305 | 15 | |
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| 1.2634 | 1.0170 | 16 | |
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| 1.2486 | 1.0090 | 17 | |
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| 1.2375 | 0.9901 | 18 | |
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| 1.2259 | 0.9760 | 19 | |
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| 1.2128 | 0.9659 | 20 | |
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| 1.2038 | 0.9556 | 21 | |
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| 1.1965 | 0.9446 | 22 | |
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| 1.1833 | 0.9369 | 23 | |
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| 1.1764 | 0.9237 | 24 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.12.1 |
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