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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: bedus-creation/t5-small-dataset-i-lim-to-eng |
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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/t5-small-dataset-i-lim-to-eng |
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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: 0.1159 |
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- Validation Loss: 0.1001 |
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- Epoch: 58 |
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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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| 1.0149 | 0.2846 | 0 | |
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| 0.3652 | 0.2595 | 1 | |
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| 0.3009 | 0.2475 | 2 | |
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| 0.2726 | 0.2319 | 3 | |
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| 0.2486 | 0.2168 | 4 | |
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| 0.2459 | 0.2118 | 5 | |
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| 0.2301 | 0.2228 | 6 | |
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| 0.2342 | 0.2148 | 7 | |
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| 0.2199 | 0.1870 | 8 | |
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| 0.2221 | 0.1810 | 9 | |
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| 0.2199 | 0.1815 | 10 | |
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| 0.2066 | 0.1737 | 11 | |
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| 0.1996 | 0.1665 | 12 | |
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| 0.1935 | 0.1735 | 13 | |
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| 0.1992 | 0.1622 | 14 | |
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| 0.1841 | 0.1583 | 15 | |
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| 0.1909 | 0.1560 | 16 | |
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| 0.1784 | 0.1554 | 17 | |
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| 0.1816 | 0.1493 | 18 | |
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| 0.1765 | 0.1477 | 19 | |
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| 0.1805 | 0.1543 | 20 | |
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| 0.1763 | 0.1474 | 21 | |
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| 0.1730 | 0.1422 | 22 | |
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| 0.1651 | 0.1445 | 23 | |
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| 0.1707 | 0.1403 | 24 | |
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| 0.1631 | 0.1401 | 25 | |
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| 0.1653 | 0.1420 | 26 | |
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| 0.1640 | 0.1383 | 27 | |
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| 0.1571 | 0.1295 | 28 | |
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| 0.1632 | 0.1332 | 29 | |
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| 0.1586 | 0.1303 | 30 | |
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| 0.1534 | 0.1251 | 31 | |
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| 0.1572 | 0.1213 | 32 | |
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| 0.1561 | 0.1207 | 33 | |
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| 0.1514 | 0.1186 | 34 | |
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| 0.1522 | 0.1194 | 35 | |
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| 0.1455 | 0.1159 | 36 | |
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| 0.1466 | 0.1160 | 37 | |
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| 0.1394 | 0.1148 | 38 | |
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| 0.1421 | 0.1136 | 39 | |
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| 0.1492 | 0.1144 | 40 | |
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| 0.1444 | 0.1113 | 41 | |
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| 0.1393 | 0.1125 | 42 | |
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| 0.1304 | 0.1119 | 43 | |
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| 0.1394 | 0.1068 | 44 | |
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| 0.1312 | 0.1064 | 45 | |
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| 0.1367 | 0.1043 | 46 | |
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| 0.1278 | 0.1028 | 47 | |
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| 0.1308 | 0.1033 | 48 | |
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| 0.1266 | 0.1008 | 49 | |
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| 0.1127 | 0.1035 | 50 | |
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| 0.1263 | 0.0956 | 51 | |
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| 0.1281 | 0.0933 | 52 | |
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| 0.1209 | 0.0966 | 53 | |
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| 0.1139 | 0.0937 | 54 | |
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| 0.1174 | 0.0942 | 55 | |
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| 0.1137 | 0.0933 | 56 | |
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| 0.1183 | 0.0960 | 57 | |
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| 0.1159 | 0.1001 | 58 | |
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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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