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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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base_model: serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04 |
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model-index: |
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- name: mt5-small_poetry_test-2024-02-23-15-43-02 |
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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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# mt5-small_poetry_test-2024-02-23-15-43-02 |
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This model is a fine-tuned version of [serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04](https://huggingface.co/serhii-korobchenko/mt5-small_poetry_test-2024-02-23-11-37-04) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.0719 |
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- Validation Loss: 8.8056 |
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- Epoch: 49 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0056, 'decay_steps': 750, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 1e-06} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 10.6051 | 8.0186 | 0 | |
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| 7.2838 | 7.5097 | 1 | |
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| 6.1079 | 7.5227 | 2 | |
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| 5.8520 | 7.6991 | 3 | |
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| 5.7403 | 7.6098 | 4 | |
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| 5.7371 | 7.6277 | 5 | |
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| 5.6356 | 7.6047 | 6 | |
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| 5.6156 | 7.7156 | 7 | |
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| 5.5722 | 7.5735 | 8 | |
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| 5.5118 | 7.5908 | 9 | |
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| 5.4539 | 7.6017 | 10 | |
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| 5.3815 | 7.6174 | 11 | |
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| 5.3763 | 7.6022 | 12 | |
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| 5.2895 | 7.4830 | 13 | |
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| 5.2140 | 7.5455 | 14 | |
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| 5.1843 | 7.4243 | 15 | |
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| 5.1056 | 7.3897 | 16 | |
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| 4.9740 | 7.2854 | 17 | |
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| 4.9361 | 7.2887 | 18 | |
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| 4.8234 | 7.4561 | 19 | |
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| 4.9462 | 7.3764 | 20 | |
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| 4.8029 | 7.2209 | 21 | |
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| 4.6122 | 7.1327 | 22 | |
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| 4.4010 | 7.3362 | 23 | |
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| 4.2291 | 7.0549 | 24 | |
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| 4.0323 | 7.2076 | 25 | |
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| 3.8655 | 7.2932 | 26 | |
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| 3.6406 | 7.3575 | 27 | |
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| 3.4665 | 7.2689 | 28 | |
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| 3.4070 | 7.1520 | 29 | |
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| 3.3049 | 7.4382 | 30 | |
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| 3.0354 | 7.5552 | 31 | |
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| 2.7136 | 7.2149 | 32 | |
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| 2.5568 | 7.8140 | 33 | |
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| 2.2594 | 7.7701 | 34 | |
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| 2.1743 | 7.9400 | 35 | |
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| 2.0776 | 8.1060 | 36 | |
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| 1.8686 | 7.7733 | 37 | |
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| 1.8453 | 8.1850 | 38 | |
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| 1.7281 | 7.8816 | 39 | |
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| 1.5912 | 7.8918 | 40 | |
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| 1.4447 | 8.4160 | 41 | |
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| 1.4090 | 8.5857 | 42 | |
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| 1.2143 | 8.5367 | 43 | |
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| 1.2254 | 8.3491 | 44 | |
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| 1.0937 | 8.8601 | 45 | |
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| 1.1357 | 8.4994 | 46 | |
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| 1.0708 | 8.9421 | 47 | |
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| 1.0830 | 8.9817 | 48 | |
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| 1.0719 | 8.8056 | 49 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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