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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: tarsssss/eng-jagoy-t5-001
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. -->
# tarsssss/eng-jagoy-t5-001
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: 4.9612
- Validation Loss: 5.2003
- Epoch: 108
## 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 |
|:----------:|:---------------:|:-----:|
| 7.8603 | 7.4105 | 0 |
| 7.3775 | 7.1273 | 1 |
| 7.1632 | 6.9598 | 2 |
| 7.0228 | 6.8372 | 3 |
| 6.9085 | 6.7335 | 4 |
| 6.8226 | 6.6458 | 5 |
| 6.7451 | 6.5671 | 6 |
| 6.6785 | 6.5022 | 7 |
| 6.6254 | 6.4409 | 8 |
| 6.5606 | 6.3842 | 9 |
| 6.5163 | 6.3361 | 10 |
| 6.4682 | 6.2908 | 11 |
| 6.4250 | 6.2436 | 12 |
| 6.3749 | 6.1907 | 13 |
| 6.3293 | 6.1494 | 14 |
| 6.2822 | 6.1098 | 15 |
| 6.2560 | 6.0750 | 16 |
| 6.2078 | 6.0508 | 17 |
| 6.1839 | 6.0229 | 18 |
| 6.1561 | 5.9944 | 19 |
| 6.1146 | 5.9732 | 20 |
| 6.0885 | 5.9490 | 21 |
| 6.0587 | 5.9243 | 22 |
| 6.0366 | 5.9064 | 23 |
| 6.0135 | 5.8857 | 24 |
| 5.9904 | 5.8675 | 25 |
| 5.9681 | 5.8482 | 26 |
| 5.9473 | 5.8262 | 27 |
| 5.9263 | 5.8127 | 28 |
| 5.9031 | 5.7896 | 29 |
| 5.8827 | 5.7721 | 30 |
| 5.8566 | 5.7482 | 31 |
| 5.8406 | 5.7355 | 32 |
| 5.8285 | 5.7231 | 33 |
| 5.7944 | 5.7049 | 34 |
| 5.7822 | 5.6968 | 35 |
| 5.7567 | 5.6813 | 36 |
| 5.7526 | 5.6650 | 37 |
| 5.7363 | 5.6614 | 38 |
| 5.7132 | 5.6398 | 39 |
| 5.6945 | 5.6383 | 40 |
| 5.6786 | 5.6243 | 41 |
| 5.6636 | 5.6071 | 42 |
| 5.6527 | 5.5955 | 43 |
| 5.6390 | 5.5876 | 44 |
| 5.6198 | 5.5754 | 45 |
| 5.6082 | 5.5663 | 46 |
| 5.6070 | 5.5572 | 47 |
| 5.5782 | 5.5493 | 48 |
| 5.5679 | 5.5487 | 49 |
| 5.5520 | 5.5301 | 50 |
| 5.5307 | 5.5261 | 51 |
| 5.5284 | 5.5089 | 52 |
| 5.5160 | 5.5003 | 53 |
| 5.4976 | 5.4981 | 54 |
| 5.4864 | 5.4860 | 55 |
| 5.4795 | 5.4816 | 56 |
| 5.4653 | 5.4652 | 57 |
| 5.4484 | 5.4639 | 58 |
| 5.4335 | 5.4580 | 59 |
| 5.4231 | 5.4454 | 60 |
| 5.4132 | 5.4358 | 61 |
| 5.4064 | 5.4349 | 62 |
| 5.3886 | 5.4261 | 63 |
| 5.3913 | 5.4193 | 64 |
| 5.3692 | 5.4138 | 65 |
| 5.3556 | 5.4028 | 66 |
| 5.3469 | 5.4001 | 67 |
| 5.3421 | 5.3942 | 68 |
| 5.3194 | 5.3826 | 69 |
| 5.3243 | 5.3799 | 70 |
| 5.3081 | 5.3713 | 71 |
| 5.2921 | 5.3737 | 72 |
| 5.2845 | 5.3681 | 73 |
| 5.2754 | 5.3601 | 74 |
| 5.2594 | 5.3524 | 75 |
| 5.2527 | 5.3420 | 76 |
| 5.2496 | 5.3367 | 77 |
| 5.2360 | 5.3320 | 78 |
| 5.2193 | 5.3253 | 79 |
| 5.2141 | 5.3178 | 80 |
| 5.1993 | 5.3150 | 81 |
| 5.1923 | 5.3157 | 82 |
| 5.1875 | 5.3097 | 83 |
| 5.1776 | 5.3051 | 84 |
| 5.1693 | 5.3050 | 85 |
| 5.1533 | 5.3115 | 86 |
| 5.1567 | 5.2943 | 87 |
| 5.1348 | 5.2757 | 88 |
| 5.1317 | 5.2849 | 89 |
| 5.1191 | 5.2846 | 90 |
| 5.1102 | 5.2742 | 91 |
| 5.1054 | 5.2725 | 92 |
| 5.0944 | 5.2624 | 93 |
| 5.0906 | 5.2560 | 94 |
| 5.0712 | 5.2502 | 95 |
| 5.0719 | 5.2495 | 96 |
| 5.0628 | 5.2498 | 97 |
| 5.0597 | 5.2454 | 98 |
| 5.0402 | 5.2420 | 99 |
| 5.0308 | 5.2441 | 100 |
| 5.0193 | 5.2379 | 101 |
| 5.0198 | 5.2298 | 102 |
| 5.0110 | 5.2315 | 103 |
| 5.0087 | 5.2304 | 104 |
| 4.9906 | 5.2261 | 105 |
| 4.9883 | 5.2288 | 106 |
| 4.9818 | 5.2069 | 107 |
| 4.9612 | 5.2003 | 108 |
### Framework versions
- Transformers 4.33.2
- TensorFlow 2.10.0
- Datasets 2.15.0
- Tokenizers 0.13.3
|