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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/t5-small-dataset-i-lim-to-eng
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/t5-small-dataset-i-lim-to-eng
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: 0.1159
- Validation Loss: 0.1001
- Epoch: 58
## 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 |
|:----------:|:---------------:|:-----:|
| 1.0149 | 0.2846 | 0 |
| 0.3652 | 0.2595 | 1 |
| 0.3009 | 0.2475 | 2 |
| 0.2726 | 0.2319 | 3 |
| 0.2486 | 0.2168 | 4 |
| 0.2459 | 0.2118 | 5 |
| 0.2301 | 0.2228 | 6 |
| 0.2342 | 0.2148 | 7 |
| 0.2199 | 0.1870 | 8 |
| 0.2221 | 0.1810 | 9 |
| 0.2199 | 0.1815 | 10 |
| 0.2066 | 0.1737 | 11 |
| 0.1996 | 0.1665 | 12 |
| 0.1935 | 0.1735 | 13 |
| 0.1992 | 0.1622 | 14 |
| 0.1841 | 0.1583 | 15 |
| 0.1909 | 0.1560 | 16 |
| 0.1784 | 0.1554 | 17 |
| 0.1816 | 0.1493 | 18 |
| 0.1765 | 0.1477 | 19 |
| 0.1805 | 0.1543 | 20 |
| 0.1763 | 0.1474 | 21 |
| 0.1730 | 0.1422 | 22 |
| 0.1651 | 0.1445 | 23 |
| 0.1707 | 0.1403 | 24 |
| 0.1631 | 0.1401 | 25 |
| 0.1653 | 0.1420 | 26 |
| 0.1640 | 0.1383 | 27 |
| 0.1571 | 0.1295 | 28 |
| 0.1632 | 0.1332 | 29 |
| 0.1586 | 0.1303 | 30 |
| 0.1534 | 0.1251 | 31 |
| 0.1572 | 0.1213 | 32 |
| 0.1561 | 0.1207 | 33 |
| 0.1514 | 0.1186 | 34 |
| 0.1522 | 0.1194 | 35 |
| 0.1455 | 0.1159 | 36 |
| 0.1466 | 0.1160 | 37 |
| 0.1394 | 0.1148 | 38 |
| 0.1421 | 0.1136 | 39 |
| 0.1492 | 0.1144 | 40 |
| 0.1444 | 0.1113 | 41 |
| 0.1393 | 0.1125 | 42 |
| 0.1304 | 0.1119 | 43 |
| 0.1394 | 0.1068 | 44 |
| 0.1312 | 0.1064 | 45 |
| 0.1367 | 0.1043 | 46 |
| 0.1278 | 0.1028 | 47 |
| 0.1308 | 0.1033 | 48 |
| 0.1266 | 0.1008 | 49 |
| 0.1127 | 0.1035 | 50 |
| 0.1263 | 0.0956 | 51 |
| 0.1281 | 0.0933 | 52 |
| 0.1209 | 0.0966 | 53 |
| 0.1139 | 0.0937 | 54 |
| 0.1174 | 0.0942 | 55 |
| 0.1137 | 0.0933 | 56 |
| 0.1183 | 0.0960 | 57 |
| 0.1159 | 0.1001 | 58 |
### Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
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