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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: JuliusFx/dyu-fr-t5-base_v1 |
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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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# JuliusFx/dyu-fr-t5-base_v1 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.3233 |
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- Validation Loss: 3.0376 |
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- Epoch: 46 |
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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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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| 3.2963 | 3.1402 | 0 | |
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| 3.0454 | 3.0436 | 1 | |
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| 2.9282 | 3.0219 | 2 | |
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| 2.8338 | 2.9804 | 3 | |
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| 2.7463 | 2.9778 | 4 | |
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| 2.6807 | 2.9307 | 5 | |
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| 2.6156 | 2.9288 | 6 | |
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| 2.5501 | 2.9221 | 7 | |
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| 2.4933 | 2.9245 | 8 | |
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| 2.4400 | 2.9083 | 9 | |
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| 2.3910 | 2.9285 | 10 | |
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| 2.3451 | 2.9178 | 11 | |
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| 2.2967 | 2.9217 | 12 | |
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| 2.2496 | 2.9160 | 13 | |
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| 2.2099 | 2.9176 | 14 | |
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| 2.1726 | 2.8832 | 15 | |
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| 2.1317 | 2.9009 | 16 | |
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| 2.0931 | 2.8764 | 17 | |
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| 2.0541 | 2.8484 | 18 | |
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| 2.0237 | 2.8875 | 19 | |
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| 1.9935 | 2.8943 | 20 | |
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| 1.9538 | 2.8810 | 21 | |
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| 1.9218 | 2.8885 | 22 | |
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| 1.8905 | 2.8650 | 23 | |
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| 1.8631 | 2.8671 | 24 | |
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| 1.8290 | 2.8832 | 25 | |
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| 1.8046 | 2.8879 | 26 | |
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| 1.7761 | 2.9429 | 27 | |
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| 1.7414 | 2.9406 | 28 | |
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| 1.7167 | 2.9296 | 29 | |
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| 1.6926 | 2.9174 | 30 | |
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| 1.6639 | 2.9762 | 31 | |
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| 1.6421 | 2.9700 | 32 | |
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| 1.6102 | 2.9565 | 33 | |
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| 1.5877 | 2.9810 | 34 | |
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| 1.5658 | 2.9643 | 35 | |
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| 1.5390 | 3.0225 | 36 | |
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| 1.5152 | 3.0029 | 37 | |
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| 1.4990 | 2.9756 | 38 | |
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| 1.4748 | 3.0228 | 39 | |
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| 1.4483 | 3.0092 | 40 | |
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| 1.4286 | 3.0356 | 41 | |
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| 1.4051 | 3.0226 | 42 | |
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| 1.3841 | 3.0442 | 43 | |
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| 1.3577 | 3.0595 | 44 | |
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| 1.3433 | 3.0547 | 45 | |
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| 1.3233 | 3.0376 | 46 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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