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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/eng-limbu-t5-manual-002
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# bedus-creation/eng-limbu-t5-manual-002
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.0687
- Validation Loss: 3.7774
- Epoch: 99
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 6.7285 | 5.8526 | 0 |
| 5.8608 | 5.3145 | 1 |
| 5.3625 | 5.0804 | 2 |
| 5.1012 | 4.9629 | 3 |
| 4.9323 | 4.8258 | 4 |
| 4.7733 | 4.7266 | 5 |
| 4.6924 | 4.6181 | 6 |
| 4.5603 | 4.5446 | 7 |
| 4.4889 | 4.4844 | 8 |
| 4.4311 | 4.4172 | 9 |
| 4.3759 | 4.3850 | 10 |
| 4.3222 | 4.3224 | 11 |
| 4.2802 | 4.2932 | 12 |
| 4.2507 | 4.2517 | 13 |
| 4.1858 | 4.2192 | 14 |
| 4.1643 | 4.2057 | 15 |
| 4.1406 | 4.2012 | 16 |
| 4.0881 | 4.1809 | 17 |
| 4.0782 | 4.1407 | 18 |
| 4.0536 | 4.1458 | 19 |
| 4.0260 | 4.1167 | 20 |
| 4.0093 | 4.1147 | 21 |
| 3.9739 | 4.0881 | 22 |
| 3.9548 | 4.0896 | 23 |
| 3.9533 | 4.0832 | 24 |
| 3.9363 | 4.0328 | 25 |
| 3.9258 | 4.0340 | 26 |
| 3.8973 | 4.0176 | 27 |
| 3.8789 | 4.0131 | 28 |
| 3.8784 | 4.0032 | 29 |
| 3.8391 | 3.9896 | 30 |
| 3.8506 | 3.9902 | 31 |
| 3.8081 | 3.9742 | 32 |
| 3.8068 | 3.9699 | 33 |
| 3.7911 | 3.9409 | 34 |
| 3.7909 | 3.9411 | 35 |
| 3.7658 | 3.9416 | 36 |
| 3.7317 | 3.9270 | 37 |
| 3.7404 | 3.9225 | 38 |
| 3.7321 | 3.9159 | 39 |
| 3.7112 | 3.9071 | 40 |
| 3.7039 | 3.9003 | 41 |
| 3.6980 | 3.8723 | 42 |
| 3.6639 | 3.8921 | 43 |
| 3.6612 | 3.8674 | 44 |
| 3.6497 | 3.8624 | 45 |
| 3.6284 | 3.8694 | 46 |
| 3.6403 | 3.8701 | 47 |
| 3.5968 | 3.8516 | 48 |
| 3.5749 | 3.8435 | 49 |
| 3.5751 | 3.8545 | 50 |
| 3.5736 | 3.8304 | 51 |
| 3.5722 | 3.8247 | 52 |
| 3.5431 | 3.8396 | 53 |
| 3.5280 | 3.8265 | 54 |
| 3.5288 | 3.8225 | 55 |
| 3.5014 | 3.8248 | 56 |
| 3.5046 | 3.7864 | 57 |
| 3.5144 | 3.8151 | 58 |
| 3.4876 | 3.8117 | 59 |
| 3.4744 | 3.8099 | 60 |
| 3.4667 | 3.8110 | 61 |
| 3.4503 | 3.8165 | 62 |
| 3.4516 | 3.7818 | 63 |
| 3.4484 | 3.8165 | 64 |
| 3.4146 | 3.8282 | 65 |
| 3.3911 | 3.8151 | 66 |
| 3.4345 | 3.7842 | 67 |
| 3.4155 | 3.7777 | 68 |
| 3.3755 | 3.8011 | 69 |
| 3.3595 | 3.7737 | 70 |
| 3.3727 | 3.7744 | 71 |
| 3.3670 | 3.7683 | 72 |
| 3.3493 | 3.7721 | 73 |
| 3.3337 | 3.7927 | 74 |
| 3.3260 | 3.7670 | 75 |
| 3.3160 | 3.7802 | 76 |
| 3.3120 | 3.7885 | 77 |
| 3.3101 | 3.7675 | 78 |
| 3.2842 | 3.7837 | 79 |
| 3.2765 | 3.7607 | 80 |
| 3.2684 | 3.7805 | 81 |
| 3.2576 | 3.7578 | 82 |
| 3.2637 | 3.7661 | 83 |
| 3.2414 | 3.7964 | 84 |
| 3.2241 | 3.7806 | 85 |
| 3.2294 | 3.7762 | 86 |
| 3.2067 | 3.7526 | 87 |
| 3.1882 | 3.7809 | 88 |
| 3.2020 | 3.7670 | 89 |
| 3.1646 | 3.7671 | 90 |
| 3.1873 | 3.7586 | 91 |
| 3.1619 | 3.7843 | 92 |
| 3.1608 | 3.7573 | 93 |
| 3.1648 | 3.7654 | 94 |
| 3.1107 | 3.7811 | 95 |
| 3.1221 | 3.7974 | 96 |
| 3.0947 | 3.7810 | 97 |
| 3.1046 | 3.7647 | 98 |
| 3.0687 | 3.7774 | 99 |
### Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
|