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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: pijarcandra22/t5Indo2Sunda |
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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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# pijarcandra22/t5Indo2Sunda |
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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: 2.2537 |
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- Validation Loss: 2.1618 |
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- Epoch: 87 |
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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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| 4.3724 | 3.9124 | 0 | |
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| 3.9887 | 3.6348 | 1 | |
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| 3.7534 | 3.4215 | 2 | |
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| 3.5819 | 3.2847 | 3 | |
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| 3.4632 | 3.1902 | 4 | |
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| 3.3751 | 3.1139 | 5 | |
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| 3.3039 | 3.0493 | 6 | |
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| 3.2447 | 2.9955 | 7 | |
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| 3.1911 | 2.9481 | 8 | |
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| 3.1455 | 2.9082 | 9 | |
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| 3.1068 | 2.8718 | 10 | |
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| 3.0697 | 2.8387 | 11 | |
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| 3.0381 | 2.8105 | 12 | |
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| 3.0050 | 2.7825 | 13 | |
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| 2.9796 | 2.7568 | 14 | |
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| 2.9510 | 2.7350 | 15 | |
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| 2.9259 | 2.7096 | 16 | |
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| 2.9053 | 2.6881 | 17 | |
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| 2.8833 | 2.6696 | 18 | |
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| 2.8599 | 2.6510 | 19 | |
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| 2.8403 | 2.6328 | 20 | |
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| 2.8207 | 2.6171 | 21 | |
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| 2.8046 | 2.5999 | 22 | |
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| 2.7861 | 2.5857 | 23 | |
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| 2.7715 | 2.5699 | 24 | |
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| 2.7557 | 2.5542 | 25 | |
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| 2.7387 | 2.5420 | 26 | |
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| 2.7225 | 2.5299 | 27 | |
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| 2.7085 | 2.5182 | 28 | |
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| 2.6950 | 2.5081 | 29 | |
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| 2.6818 | 2.4951 | 30 | |
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| 2.6687 | 2.4864 | 31 | |
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| 2.6578 | 2.4760 | 32 | |
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| 2.6461 | 2.4651 | 33 | |
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| 2.6334 | 2.4559 | 34 | |
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| 2.6213 | 2.4477 | 35 | |
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| 2.6096 | 2.4373 | 36 | |
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| 2.5993 | 2.4297 | 37 | |
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| 2.5906 | 2.4208 | 38 | |
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| 2.5778 | 2.4100 | 39 | |
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| 2.5703 | 2.4025 | 40 | |
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| 2.5594 | 2.3962 | 41 | |
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| 2.5521 | 2.3901 | 42 | |
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| 2.5414 | 2.3808 | 43 | |
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| 2.5318 | 2.3726 | 44 | |
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| 2.5235 | 2.3684 | 45 | |
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| 2.5165 | 2.3592 | 46 | |
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| 2.5060 | 2.3507 | 47 | |
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| 2.4972 | 2.3466 | 48 | |
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| 2.4892 | 2.3388 | 49 | |
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| 2.4807 | 2.3325 | 50 | |
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| 2.4732 | 2.3281 | 51 | |
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| 2.4654 | 2.3210 | 52 | |
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| 2.4592 | 2.3138 | 53 | |
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| 2.4525 | 2.3100 | 54 | |
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| 2.4439 | 2.3046 | 55 | |
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| 2.4349 | 2.2980 | 56 | |
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| 2.4283 | 2.2926 | 57 | |
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| 2.4222 | 2.2884 | 58 | |
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| 2.4139 | 2.2824 | 59 | |
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| 2.4071 | 2.2759 | 60 | |
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| 2.4008 | 2.2705 | 61 | |
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| 2.3941 | 2.2664 | 62 | |
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| 2.3882 | 2.2588 | 63 | |
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| 2.3813 | 2.2566 | 64 | |
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| 2.3759 | 2.2498 | 65 | |
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| 2.3674 | 2.2461 | 66 | |
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| 2.3618 | 2.2425 | 67 | |
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| 2.3534 | 2.2377 | 68 | |
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| 2.3522 | 2.2314 | 69 | |
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| 2.3398 | 2.2269 | 70 | |
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| 2.3391 | 2.2241 | 71 | |
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| 2.3303 | 2.2184 | 72 | |
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| 2.3275 | 2.2137 | 73 | |
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| 2.3190 | 2.2100 | 74 | |
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| 2.3159 | 2.2048 | 75 | |
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| 2.3078 | 2.2011 | 76 | |
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| 2.3048 | 2.1971 | 77 | |
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| 2.3005 | 2.1936 | 78 | |
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| 2.2938 | 2.1899 | 79 | |
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| 2.2892 | 2.1859 | 80 | |
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| 2.2824 | 2.1819 | 81 | |
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| 2.2758 | 2.1787 | 82 | |
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| 2.2739 | 2.1757 | 83 | |
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| 2.2689 | 2.1716 | 84 | |
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| 2.2623 | 2.1664 | 85 | |
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| 2.2574 | 2.1657 | 86 | |
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| 2.2537 | 2.1618 | 87 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.14.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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