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# pijarcandra22/t5Bali2Indo

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: 0.4589
- Validation Loss: 1.5981
- Epoch: 97

## 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 |
|:----------:|:---------------:|:-----:|
| 0.5701     | 1.5227          | 0     |
| 0.5700     | 1.5142          | 1     |
| 0.5690     | 1.5212          | 2     |
| 0.5623     | 1.5221          | 3     |
| 0.5686     | 1.5265          | 4     |
| 0.5592     | 1.5261          | 5     |
| 0.5619     | 1.5208          | 6     |
| 0.5615     | 1.5224          | 7     |
| 0.5679     | 1.5230          | 8     |
| 0.5630     | 1.5250          | 9     |
| 0.5621     | 1.5238          | 10    |
| 0.5617     | 1.5270          | 11    |
| 0.5520     | 1.5271          | 12    |
| 0.5530     | 1.5347          | 13    |
| 0.5578     | 1.5278          | 14    |
| 0.5497     | 1.5280          | 15    |
| 0.5513     | 1.5333          | 16    |
| 0.5506     | 1.5371          | 17    |
| 0.5504     | 1.5337          | 18    |
| 0.5499     | 1.5374          | 19    |
| 0.5436     | 1.5405          | 20    |
| 0.5420     | 1.5382          | 21    |
| 0.5462     | 1.5377          | 22    |
| 0.5402     | 1.5367          | 23    |
| 0.5422     | 1.5345          | 24    |
| 0.5408     | 1.5385          | 25    |
| 0.5434     | 1.5378          | 26    |
| 0.5343     | 1.5381          | 27    |
| 0.5368     | 1.5404          | 28    |
| 0.5410     | 1.5407          | 29    |
| 0.5368     | 1.5417          | 30    |
| 0.5344     | 1.5431          | 31    |
| 0.5343     | 1.5428          | 32    |
| 0.5343     | 1.5454          | 33    |
| 0.5300     | 1.5499          | 34    |
| 0.5325     | 1.5505          | 35    |
| 0.5269     | 1.5427          | 36    |
| 0.5217     | 1.5493          | 37    |
| 0.5197     | 1.5560          | 38    |
| 0.5247     | 1.5520          | 39    |
| 0.5200     | 1.5557          | 40    |
| 0.5270     | 1.5551          | 41    |
| 0.5241     | 1.5518          | 42    |
| 0.5163     | 1.5492          | 43    |
| 0.5227     | 1.5520          | 44    |
| 0.5221     | 1.5552          | 45    |
| 0.5123     | 1.5523          | 46    |
| 0.5173     | 1.5572          | 47    |
| 0.5194     | 1.5571          | 48    |
| 0.5159     | 1.5566          | 49    |
| 0.5137     | 1.5591          | 50    |
| 0.5127     | 1.5533          | 51    |
| 0.5094     | 1.5516          | 52    |
| 0.5095     | 1.5574          | 53    |
| 0.5023     | 1.5609          | 54    |
| 0.5040     | 1.5604          | 55    |
| 0.5019     | 1.5650          | 56    |
| 0.5093     | 1.5577          | 57    |
| 0.5050     | 1.5592          | 58    |
| 0.5069     | 1.5623          | 59    |
| 0.4998     | 1.5635          | 60    |
| 0.4936     | 1.5674          | 61    |
| 0.4997     | 1.5651          | 62    |
| 0.4970     | 1.5648          | 63    |
| 0.4927     | 1.5651          | 64    |
| 0.4933     | 1.5719          | 65    |
| 0.4951     | 1.5699          | 66    |
| 0.4963     | 1.5690          | 67    |
| 0.4906     | 1.5728          | 68    |
| 0.4927     | 1.5740          | 69    |
| 0.4884     | 1.5763          | 70    |
| 0.4917     | 1.5766          | 71    |
| 0.4854     | 1.5740          | 72    |
| 0.4793     | 1.5741          | 73    |
| 0.4824     | 1.5790          | 74    |
| 0.4830     | 1.5760          | 75    |
| 0.4842     | 1.5784          | 76    |
| 0.4786     | 1.5794          | 77    |
| 0.4815     | 1.5733          | 78    |
| 0.4791     | 1.5800          | 79    |
| 0.4784     | 1.5796          | 80    |
| 0.4743     | 1.5835          | 81    |
| 0.4766     | 1.5832          | 82    |
| 0.4767     | 1.5814          | 83    |
| 0.4800     | 1.5832          | 84    |
| 0.4787     | 1.5847          | 85    |
| 0.4681     | 1.5849          | 86    |
| 0.4727     | 1.5875          | 87    |
| 0.4716     | 1.5838          | 88    |
| 0.4686     | 1.5849          | 89    |
| 0.4708     | 1.5851          | 90    |
| 0.4697     | 1.5911          | 91    |
| 0.4705     | 1.5910          | 92    |
| 0.4695     | 1.5934          | 93    |
| 0.4670     | 1.5914          | 94    |
| 0.4643     | 1.5969          | 95    |
| 0.4636     | 1.5945          | 96    |
| 0.4589     | 1.5981          | 97    |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "pijarcandra22/t5Bali2Indo", "results": []}]}
transformers tf t5 text2text-generation generated_from_keras_callback base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us