---
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