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--- |
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license: apache-2.0 |
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base_model: 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: ecolibrium |
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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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# ecolibrium |
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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: 0.3202 |
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- Validation Loss: 0.0689 |
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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': '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': 0.0002, '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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| 1.6155 | 1.3909 | 0 | |
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| 1.4232 | 1.2592 | 1 | |
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| 1.3301 | 1.1768 | 2 | |
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| 1.2562 | 1.0908 | 3 | |
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| 1.1925 | 1.0136 | 4 | |
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| 1.1417 | 0.9589 | 5 | |
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| 1.0953 | 0.9173 | 6 | |
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| 1.0502 | 0.8531 | 7 | |
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| 1.0103 | 0.8009 | 8 | |
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| 0.9761 | 0.7488 | 9 | |
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| 0.9404 | 0.7100 | 10 | |
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| 0.9095 | 0.6793 | 11 | |
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| 0.8743 | 0.6319 | 12 | |
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| 0.8480 | 0.6139 | 13 | |
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| 0.8233 | 0.5741 | 14 | |
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| 0.7942 | 0.5479 | 15 | |
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| 0.7697 | 0.5176 | 16 | |
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| 0.7456 | 0.4847 | 17 | |
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| 0.7250 | 0.4650 | 18 | |
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| 0.6996 | 0.4370 | 19 | |
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| 0.6790 | 0.4141 | 20 | |
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| 0.6607 | 0.3959 | 21 | |
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| 0.6428 | 0.3666 | 22 | |
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| 0.6249 | 0.3511 | 23 | |
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| 0.6060 | 0.3344 | 24 | |
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| 0.5944 | 0.3178 | 25 | |
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| 0.5750 | 0.2942 | 26 | |
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| 0.5607 | 0.2787 | 27 | |
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| 0.5453 | 0.2608 | 28 | |
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| 0.5317 | 0.2472 | 29 | |
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| 0.5146 | 0.2365 | 30 | |
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| 0.5017 | 0.2146 | 31 | |
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| 0.4909 | 0.2078 | 32 | |
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| 0.4764 | 0.1945 | 33 | |
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| 0.4664 | 0.1831 | 34 | |
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| 0.4517 | 0.1703 | 35 | |
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| 0.4397 | 0.1643 | 36 | |
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| 0.4316 | 0.1588 | 37 | |
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| 0.4196 | 0.1428 | 38 | |
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| 0.4073 | 0.1311 | 39 | |
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| 0.3949 | 0.1232 | 40 | |
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| 0.3871 | 0.1175 | 41 | |
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| 0.3776 | 0.1105 | 42 | |
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| 0.3705 | 0.1025 | 43 | |
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| 0.3623 | 0.0959 | 44 | |
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| 0.3514 | 0.0928 | 45 | |
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| 0.3427 | 0.0828 | 46 | |
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| 0.3346 | 0.0799 | 47 | |
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| 0.3268 | 0.0736 | 48 | |
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| 0.3202 | 0.0689 | 49 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- TensorFlow 2.14.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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