---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/t5Indo2Sunda
  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. -->

# pijarcandra22/t5Indo2Sunda

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: 2.1941
- Validation Loss: 2.1230
- Epoch: 99

## 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 |
|:----------:|:---------------:|:-----:|
| 4.3724     | 3.9124          | 0     |
| 3.9887     | 3.6348          | 1     |
| 3.7534     | 3.4215          | 2     |
| 3.5819     | 3.2847          | 3     |
| 3.4632     | 3.1902          | 4     |
| 3.3751     | 3.1139          | 5     |
| 3.3039     | 3.0493          | 6     |
| 3.2447     | 2.9955          | 7     |
| 3.1911     | 2.9481          | 8     |
| 3.1455     | 2.9082          | 9     |
| 3.1068     | 2.8718          | 10    |
| 3.0697     | 2.8387          | 11    |
| 3.0381     | 2.8105          | 12    |
| 3.0050     | 2.7825          | 13    |
| 2.9796     | 2.7568          | 14    |
| 2.9510     | 2.7350          | 15    |
| 2.9259     | 2.7096          | 16    |
| 2.9053     | 2.6881          | 17    |
| 2.8833     | 2.6696          | 18    |
| 2.8599     | 2.6510          | 19    |
| 2.8403     | 2.6328          | 20    |
| 2.8207     | 2.6171          | 21    |
| 2.8046     | 2.5999          | 22    |
| 2.7861     | 2.5857          | 23    |
| 2.7715     | 2.5699          | 24    |
| 2.7557     | 2.5542          | 25    |
| 2.7387     | 2.5420          | 26    |
| 2.7225     | 2.5299          | 27    |
| 2.7085     | 2.5182          | 28    |
| 2.6950     | 2.5081          | 29    |
| 2.6818     | 2.4951          | 30    |
| 2.6687     | 2.4864          | 31    |
| 2.6578     | 2.4760          | 32    |
| 2.6461     | 2.4651          | 33    |
| 2.6334     | 2.4559          | 34    |
| 2.6213     | 2.4477          | 35    |
| 2.6096     | 2.4373          | 36    |
| 2.5993     | 2.4297          | 37    |
| 2.5906     | 2.4208          | 38    |
| 2.5778     | 2.4100          | 39    |
| 2.5703     | 2.4025          | 40    |
| 2.5594     | 2.3962          | 41    |
| 2.5521     | 2.3901          | 42    |
| 2.5414     | 2.3808          | 43    |
| 2.5318     | 2.3726          | 44    |
| 2.5235     | 2.3684          | 45    |
| 2.5165     | 2.3592          | 46    |
| 2.5060     | 2.3507          | 47    |
| 2.4972     | 2.3466          | 48    |
| 2.4892     | 2.3388          | 49    |
| 2.4807     | 2.3325          | 50    |
| 2.4732     | 2.3281          | 51    |
| 2.4654     | 2.3210          | 52    |
| 2.4592     | 2.3138          | 53    |
| 2.4525     | 2.3100          | 54    |
| 2.4439     | 2.3046          | 55    |
| 2.4349     | 2.2980          | 56    |
| 2.4283     | 2.2926          | 57    |
| 2.4222     | 2.2884          | 58    |
| 2.4139     | 2.2824          | 59    |
| 2.4071     | 2.2759          | 60    |
| 2.4008     | 2.2705          | 61    |
| 2.3941     | 2.2664          | 62    |
| 2.3882     | 2.2588          | 63    |
| 2.3813     | 2.2566          | 64    |
| 2.3759     | 2.2498          | 65    |
| 2.3674     | 2.2461          | 66    |
| 2.3618     | 2.2425          | 67    |
| 2.3534     | 2.2377          | 68    |
| 2.3522     | 2.2314          | 69    |
| 2.3398     | 2.2269          | 70    |
| 2.3391     | 2.2241          | 71    |
| 2.3303     | 2.2184          | 72    |
| 2.3275     | 2.2137          | 73    |
| 2.3190     | 2.2100          | 74    |
| 2.3159     | 2.2048          | 75    |
| 2.3078     | 2.2011          | 76    |
| 2.3048     | 2.1971          | 77    |
| 2.3005     | 2.1936          | 78    |
| 2.2938     | 2.1899          | 79    |
| 2.2892     | 2.1859          | 80    |
| 2.2824     | 2.1819          | 81    |
| 2.2758     | 2.1787          | 82    |
| 2.2739     | 2.1757          | 83    |
| 2.2689     | 2.1716          | 84    |
| 2.2623     | 2.1664          | 85    |
| 2.2574     | 2.1657          | 86    |
| 2.2537     | 2.1618          | 87    |
| 2.2483     | 2.1563          | 88    |
| 2.2407     | 2.1554          | 89    |
| 2.2387     | 2.1510          | 90    |
| 2.2351     | 2.1469          | 91    |
| 2.2286     | 2.1436          | 92    |
| 2.2226     | 2.1413          | 93    |
| 2.2171     | 2.1395          | 94    |
| 2.2159     | 2.1342          | 95    |
| 2.2109     | 2.1314          | 96    |
| 2.2041     | 2.1284          | 97    |
| 2.1999     | 2.1260          | 98    |
| 2.1941     | 2.1230          | 99    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0