metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliT5
results: []
pijarcandra22/NMTIndoBaliT5
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3273
- Validation Loss: 1.7988
- Epoch: 130
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': 1e-04, '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 |
---|---|---|
3.2881 | 2.6852 | 0 |
2.7514 | 2.4004 | 1 |
2.5012 | 2.2171 | 2 |
2.3252 | 2.0959 | 3 |
2.1930 | 1.9901 | 4 |
2.0837 | 1.9130 | 5 |
1.9912 | 1.8452 | 6 |
1.9107 | 1.7974 | 7 |
1.8459 | 1.7521 | 8 |
1.7902 | 1.7165 | 9 |
1.7321 | 1.6842 | 10 |
1.6811 | 1.6400 | 11 |
1.6374 | 1.6230 | 12 |
1.5973 | 1.5960 | 13 |
1.5588 | 1.5765 | 14 |
1.5244 | 1.5589 | 15 |
1.4933 | 1.5370 | 16 |
1.4588 | 1.5300 | 17 |
1.4325 | 1.5107 | 18 |
1.4054 | 1.4970 | 19 |
1.3730 | 1.4839 | 20 |
1.3475 | 1.4789 | 21 |
1.3231 | 1.4616 | 22 |
1.3035 | 1.4568 | 23 |
1.2768 | 1.4489 | 24 |
1.2587 | 1.4396 | 25 |
1.2380 | 1.4364 | 26 |
1.2208 | 1.4273 | 27 |
1.2026 | 1.4228 | 28 |
1.1755 | 1.4141 | 29 |
1.1614 | 1.4062 | 30 |
1.1460 | 1.4060 | 31 |
1.1289 | 1.3934 | 32 |
1.1134 | 1.4007 | 33 |
1.0965 | 1.3927 | 34 |
1.0818 | 1.3874 | 35 |
1.0661 | 1.3921 | 36 |
1.0482 | 1.3795 | 37 |
1.0345 | 1.3853 | 38 |
1.0195 | 1.3835 | 39 |
1.0074 | 1.3772 | 40 |
0.9890 | 1.3851 | 41 |
0.9833 | 1.3724 | 42 |
0.9667 | 1.3740 | 43 |
0.9561 | 1.3752 | 44 |
0.9429 | 1.3673 | 45 |
0.9301 | 1.3828 | 46 |
0.9141 | 1.3806 | 47 |
0.9050 | 1.3772 | 48 |
0.8952 | 1.3812 | 49 |
0.8809 | 1.3718 | 50 |
0.8725 | 1.3825 | 51 |
0.8601 | 1.3842 | 52 |
0.8488 | 1.3827 | 53 |
0.8375 | 1.3920 | 54 |
0.8257 | 1.3936 | 55 |
0.8184 | 1.3842 | 56 |
0.8081 | 1.3846 | 57 |
0.7986 | 1.3860 | 58 |
0.7883 | 1.3943 | 59 |
0.7787 | 1.4004 | 60 |
0.7666 | 1.4071 | 61 |
0.7554 | 1.4079 | 62 |
0.7470 | 1.4038 | 63 |
0.7366 | 1.4141 | 64 |
0.7279 | 1.4135 | 65 |
0.7250 | 1.4111 | 66 |
0.7128 | 1.4196 | 67 |
0.7042 | 1.4182 | 68 |
0.6946 | 1.4378 | 69 |
0.6851 | 1.4350 | 70 |
0.6764 | 1.4403 | 71 |
0.6695 | 1.4474 | 72 |
0.6606 | 1.4454 | 73 |
0.6565 | 1.4516 | 74 |
0.6450 | 1.4595 | 75 |
0.6347 | 1.4700 | 76 |
0.6287 | 1.4746 | 77 |
0.6183 | 1.4813 | 78 |
0.6143 | 1.4785 | 79 |
0.6053 | 1.4848 | 80 |
0.5994 | 1.4777 | 81 |
0.5903 | 1.4962 | 82 |
0.5828 | 1.5102 | 83 |
0.5760 | 1.4957 | 84 |
0.5696 | 1.5121 | 85 |
0.5637 | 1.5168 | 86 |
0.5578 | 1.5183 | 87 |
0.5499 | 1.5184 | 88 |
0.5396 | 1.5433 | 89 |
0.5345 | 1.5411 | 90 |
0.5268 | 1.5338 | 91 |
0.5220 | 1.5556 | 92 |
0.5184 | 1.5489 | 93 |
0.5122 | 1.5635 | 94 |
0.5014 | 1.5674 | 95 |
0.4921 | 1.5773 | 96 |
0.4925 | 1.5773 | 97 |
0.4821 | 1.5938 | 98 |
0.4769 | 1.6013 | 99 |
0.4723 | 1.5979 | 100 |
0.4692 | 1.6131 | 101 |
0.4603 | 1.6247 | 102 |
0.4553 | 1.6276 | 103 |
0.4476 | 1.6376 | 104 |
0.4401 | 1.6390 | 105 |
0.4384 | 1.6442 | 106 |
0.4305 | 1.6548 | 107 |
0.4263 | 1.6617 | 108 |
0.4232 | 1.6523 | 109 |
0.4185 | 1.6561 | 110 |
0.4129 | 1.6779 | 111 |
0.4036 | 1.6897 | 112 |
0.4005 | 1.6873 | 113 |
0.3948 | 1.6987 | 114 |
0.3892 | 1.7120 | 115 |
0.3859 | 1.7049 | 116 |
0.3795 | 1.7241 | 117 |
0.3802 | 1.7273 | 118 |
0.3731 | 1.7387 | 119 |
0.3672 | 1.7447 | 120 |
0.3629 | 1.7513 | 121 |
0.3607 | 1.7515 | 122 |
0.3543 | 1.7585 | 123 |
0.3504 | 1.7601 | 124 |
0.3477 | 1.7657 | 125 |
0.3453 | 1.7733 | 126 |
0.3448 | 1.7718 | 127 |
0.3390 | 1.7971 | 128 |
0.3352 | 1.7929 | 129 |
0.3273 | 1.7988 | 130 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2