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--- |
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base_model: Eliac11/tinkNLP |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Eliac11/FitModelKTP |
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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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# Eliac11/FitModelKTP |
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This model is a fine-tuned version of [Eliac11/tinkNLP](https://huggingface.co/Eliac11/tinkNLP) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2798 |
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- Validation Loss: 3.0329 |
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- Epoch: 41 |
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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': 0.005} |
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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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| 3.9625 | 4.0902 | 0 | |
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| 3.7233 | 3.9629 | 1 | |
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| 3.5004 | 3.8605 | 2 | |
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| 3.2832 | 3.7674 | 3 | |
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| 3.0715 | 3.7121 | 4 | |
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| 2.8942 | 3.6216 | 5 | |
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| 2.7196 | 3.5805 | 6 | |
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| 2.5480 | 3.4985 | 7 | |
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| 2.3730 | 3.4634 | 8 | |
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| 2.2230 | 3.4004 | 9 | |
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| 2.0769 | 3.3615 | 10 | |
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| 1.9424 | 3.3254 | 11 | |
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| 1.8186 | 3.2929 | 12 | |
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| 1.7042 | 3.2540 | 13 | |
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| 1.5870 | 3.2088 | 14 | |
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| 1.4708 | 3.1860 | 15 | |
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| 1.3852 | 3.1750 | 16 | |
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| 1.2858 | 3.1422 | 17 | |
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| 1.2008 | 3.1238 | 18 | |
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| 1.1220 | 3.0919 | 19 | |
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| 1.0540 | 3.0795 | 20 | |
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| 0.9794 | 3.0708 | 21 | |
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| 0.9126 | 3.0515 | 22 | |
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| 0.8535 | 3.0567 | 23 | |
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| 0.8003 | 3.0344 | 24 | |
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| 0.7417 | 3.0280 | 25 | |
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| 0.6913 | 3.0222 | 26 | |
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| 0.6467 | 3.0232 | 27 | |
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| 0.6076 | 3.0171 | 28 | |
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| 0.5714 | 3.0096 | 29 | |
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| 0.5296 | 3.0148 | 30 | |
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| 0.4989 | 3.0026 | 31 | |
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| 0.4666 | 3.0084 | 32 | |
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| 0.4366 | 3.0061 | 33 | |
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| 0.4123 | 3.0066 | 34 | |
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| 0.3904 | 3.0154 | 35 | |
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| 0.3676 | 3.0024 | 36 | |
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| 0.3467 | 3.0194 | 37 | |
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| 0.3249 | 3.0249 | 38 | |
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| 0.3095 | 3.0149 | 39 | |
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| 0.2947 | 3.0215 | 40 | |
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| 0.2798 | 3.0329 | 41 | |
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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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