---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: tarsssss/eng-jagoy-t5-001
  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. -->

# tarsssss/eng-jagoy-t5-001

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: 5.4231
- Validation Loss: 5.4454
- Epoch: 60

## 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 |
|:----------:|:---------------:|:-----:|
| 7.8603     | 7.4105          | 0     |
| 7.3775     | 7.1273          | 1     |
| 7.1632     | 6.9598          | 2     |
| 7.0228     | 6.8372          | 3     |
| 6.9085     | 6.7335          | 4     |
| 6.8226     | 6.6458          | 5     |
| 6.7451     | 6.5671          | 6     |
| 6.6785     | 6.5022          | 7     |
| 6.6254     | 6.4409          | 8     |
| 6.5606     | 6.3842          | 9     |
| 6.5163     | 6.3361          | 10    |
| 6.4682     | 6.2908          | 11    |
| 6.4250     | 6.2436          | 12    |
| 6.3749     | 6.1907          | 13    |
| 6.3293     | 6.1494          | 14    |
| 6.2822     | 6.1098          | 15    |
| 6.2560     | 6.0750          | 16    |
| 6.2078     | 6.0508          | 17    |
| 6.1839     | 6.0229          | 18    |
| 6.1561     | 5.9944          | 19    |
| 6.1146     | 5.9732          | 20    |
| 6.0885     | 5.9490          | 21    |
| 6.0587     | 5.9243          | 22    |
| 6.0366     | 5.9064          | 23    |
| 6.0135     | 5.8857          | 24    |
| 5.9904     | 5.8675          | 25    |
| 5.9681     | 5.8482          | 26    |
| 5.9473     | 5.8262          | 27    |
| 5.9263     | 5.8127          | 28    |
| 5.9031     | 5.7896          | 29    |
| 5.8827     | 5.7721          | 30    |
| 5.8566     | 5.7482          | 31    |
| 5.8406     | 5.7355          | 32    |
| 5.8285     | 5.7231          | 33    |
| 5.7944     | 5.7049          | 34    |
| 5.7822     | 5.6968          | 35    |
| 5.7567     | 5.6813          | 36    |
| 5.7526     | 5.6650          | 37    |
| 5.7363     | 5.6614          | 38    |
| 5.7132     | 5.6398          | 39    |
| 5.6945     | 5.6383          | 40    |
| 5.6786     | 5.6243          | 41    |
| 5.6636     | 5.6071          | 42    |
| 5.6527     | 5.5955          | 43    |
| 5.6390     | 5.5876          | 44    |
| 5.6198     | 5.5754          | 45    |
| 5.6082     | 5.5663          | 46    |
| 5.6070     | 5.5572          | 47    |
| 5.5782     | 5.5493          | 48    |
| 5.5679     | 5.5487          | 49    |
| 5.5520     | 5.5301          | 50    |
| 5.5307     | 5.5261          | 51    |
| 5.5284     | 5.5089          | 52    |
| 5.5160     | 5.5003          | 53    |
| 5.4976     | 5.4981          | 54    |
| 5.4864     | 5.4860          | 55    |
| 5.4795     | 5.4816          | 56    |
| 5.4653     | 5.4652          | 57    |
| 5.4484     | 5.4639          | 58    |
| 5.4335     | 5.4580          | 59    |
| 5.4231     | 5.4454          | 60    |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.10.0
- Datasets 2.15.0
- Tokenizers 0.13.3