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--- |
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license: apache-2.0 |
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base_model: bedus-creation/eng-limbu-t5-base-all-001 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: bedus-creation/eng-limbu-t5-base-all-001 |
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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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# bedus-creation/eng-limbu-t5-base-all-001 |
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This model is a fine-tuned version of [bedus-creation/eng-limbu-t5-base-all-001](https://huggingface.co/bedus-creation/eng-limbu-t5-base-all-001) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.7242 |
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- Validation Loss: 2.6274 |
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- Epoch: 64 |
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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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| 7.0062 | 6.1115 | 0 | |
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| 6.0720 | 5.8817 | 1 | |
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| 5.8833 | 5.7515 | 2 | |
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| 5.7643 | 5.6312 | 3 | |
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| 5.6159 | 5.5281 | 4 | |
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| 5.5133 | 5.4337 | 5 | |
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| 5.4239 | 5.3227 | 6 | |
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| 5.3002 | 5.2327 | 7 | |
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| 5.1915 | 5.1267 | 8 | |
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| 5.1029 | 5.0370 | 9 | |
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| 4.9916 | 4.9413 | 10 | |
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| 4.8633 | 4.8633 | 11 | |
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| 4.7651 | 4.7806 | 12 | |
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| 4.6682 | 4.7019 | 13 | |
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| 4.5570 | 4.6346 | 14 | |
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| 4.4718 | 4.5772 | 15 | |
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| 4.3830 | 4.5084 | 16 | |
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| 4.2749 | 4.4127 | 17 | |
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| 4.1922 | 4.3616 | 18 | |
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| 4.1207 | 4.3160 | 19 | |
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| 4.0164 | 4.2560 | 20 | |
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| 3.9700 | 4.1961 | 21 | |
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| 3.8745 | 4.1515 | 22 | |
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| 3.8068 | 4.0910 | 23 | |
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| 3.7149 | 4.0444 | 24 | |
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| 3.6474 | 3.9920 | 25 | |
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| 3.5522 | 3.9630 | 26 | |
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| 3.5127 | 3.8822 | 27 | |
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| 3.4414 | 3.8390 | 28 | |
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| 3.3722 | 3.7892 | 29 | |
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| 3.2981 | 3.7517 | 30 | |
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| 3.2240 | 3.7112 | 31 | |
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| 3.1878 | 3.6488 | 32 | |
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| 3.1070 | 3.6168 | 33 | |
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| 3.0528 | 3.5680 | 34 | |
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| 2.9806 | 3.5328 | 35 | |
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| 2.9294 | 3.4970 | 36 | |
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| 2.8907 | 3.4519 | 37 | |
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| 2.8304 | 3.4270 | 38 | |
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| 2.7737 | 3.3785 | 39 | |
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| 2.7023 | 3.3517 | 40 | |
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| 2.6705 | 3.3207 | 41 | |
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| 2.6218 | 3.2700 | 42 | |
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| 2.5651 | 3.2356 | 43 | |
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| 2.5065 | 3.2072 | 44 | |
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| 2.4517 | 3.1826 | 45 | |
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| 2.4043 | 3.1395 | 46 | |
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| 2.3662 | 3.0882 | 47 | |
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| 2.3240 | 3.0693 | 48 | |
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| 2.2801 | 3.0547 | 49 | |
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| 2.2304 | 3.0123 | 50 | |
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| 2.1928 | 2.9626 | 51 | |
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| 2.1492 | 2.9453 | 52 | |
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| 2.1062 | 2.9063 | 53 | |
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| 2.0650 | 2.8974 | 54 | |
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| 2.0331 | 2.8556 | 55 | |
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| 1.9951 | 2.8444 | 56 | |
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| 1.9559 | 2.7950 | 57 | |
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| 1.9095 | 2.7815 | 58 | |
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| 1.8837 | 2.7437 | 59 | |
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| 1.8460 | 2.7277 | 60 | |
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| 1.8221 | 2.6958 | 61 | |
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| 1.7798 | 2.6683 | 62 | |
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| 1.7431 | 2.6418 | 63 | |
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| 1.7242 | 2.6274 | 64 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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