---
license: apache-2.0
base_model: mBart
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/t5-small-dataset-ii-eng-lim
  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-ii-eng-lim

This model is a fine-tuned version of [mBart](https://huggingface.co/mBart) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 6.0880
- Validation Loss: 6.2594
- 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 |
|:----------:|:---------------:|:-----:|
| 8.3860     | 7.8693          | 0     |
| 7.8568     | 7.6558          | 1     |
| 7.6900     | 7.5352          | 2     |
| 7.5904     | 7.4631          | 3     |
| 7.5155     | 7.4041          | 4     |
| 7.4554     | 7.3553          | 5     |
| 7.4005     | 7.3036          | 6     |
| 7.3547     | 7.2561          | 7     |
| 7.3104     | 7.2076          | 8     |
| 7.2651     | 7.1736          | 9     |
| 7.2302     | 7.1315          | 10    |
| 7.1888     | 7.0968          | 11    |
| 7.1616     | 7.0651          | 12    |
| 7.1290     | 7.0307          | 13    |
| 7.1066     | 7.0053          | 14    |
| 7.0729     | 6.9707          | 15    |
| 7.0388     | 6.9448          | 16    |
| 7.0169     | 6.9307          | 17    |
| 6.9924     | 6.9024          | 18    |
| 6.9716     | 6.8793          | 19    |
| 6.9503     | 6.8574          | 20    |
| 6.9252     | 6.8467          | 21    |
| 6.9136     | 6.8283          | 22    |
| 6.8915     | 6.8110          | 23    |
| 6.8697     | 6.7949          | 24    |
| 6.8531     | 6.7795          | 25    |
| 6.8336     | 6.7697          | 26    |
| 6.8255     | 6.7512          | 27    |
| 6.8080     | 6.7408          | 28    |
| 6.7928     | 6.7286          | 29    |
| 6.7752     | 6.7145          | 30    |
| 6.7629     | 6.7035          | 31    |
| 6.7467     | 6.6857          | 32    |
| 6.7329     | 6.6796          | 33    |
| 6.7216     | 6.6668          | 34    |
| 6.7067     | 6.6644          | 35    |
| 6.6935     | 6.6473          | 36    |
| 6.6810     | 6.6427          | 37    |
| 6.6713     | 6.6261          | 38    |
| 6.6551     | 6.6150          | 39    |
| 6.6422     | 6.6055          | 40    |
| 6.6346     | 6.5983          | 41    |
| 6.6254     | 6.5894          | 42    |
| 6.6066     | 6.5755          | 43    |
| 6.6023     | 6.5741          | 44    |
| 6.5900     | 6.5606          | 45    |
| 6.5781     | 6.5552          | 46    |
| 6.5597     | 6.5443          | 47    |
| 6.5578     | 6.5378          | 48    |
| 6.5426     | 6.5306          | 49    |
| 6.5304     | 6.5201          | 50    |
| 6.5179     | 6.5205          | 51    |
| 6.5142     | 6.5051          | 52    |
| 6.5010     | 6.4979          | 53    |
| 6.4840     | 6.5017          | 54    |
| 6.4787     | 6.4823          | 55    |
| 6.4734     | 6.4735          | 56    |
| 6.4619     | 6.4677          | 57    |
| 6.4496     | 6.4637          | 58    |
| 6.4344     | 6.4539          | 59    |
| 6.4290     | 6.4470          | 60    |
| 6.4159     | 6.4421          | 61    |
| 6.4069     | 6.4314          | 62    |
| 6.3964     | 6.4247          | 63    |
| 6.3887     | 6.4217          | 64    |
| 6.3783     | 6.4150          | 65    |
| 6.3670     | 6.4078          | 66    |
| 6.3593     | 6.3974          | 67    |
| 6.3500     | 6.3996          | 68    |
| 6.3359     | 6.3906          | 69    |
| 6.3358     | 6.3818          | 70    |
| 6.3298     | 6.3764          | 71    |
| 6.3158     | 6.3746          | 72    |
| 6.3026     | 6.3638          | 73    |
| 6.2904     | 6.3611          | 74    |
| 6.2861     | 6.3627          | 75    |
| 6.2820     | 6.3596          | 76    |
| 6.2658     | 6.3496          | 77    |
| 6.2554     | 6.3430          | 78    |
| 6.2552     | 6.3374          | 79    |
| 6.2468     | 6.3300          | 80    |
| 6.2316     | 6.3230          | 81    |
| 6.2314     | 6.3171          | 82    |
| 6.2198     | 6.3162          | 83    |
| 6.2084     | 6.3126          | 84    |
| 6.2020     | 6.3108          | 85    |
| 6.1906     | 6.3039          | 86    |
| 6.1851     | 6.2929          | 87    |
| 6.1749     | 6.2924          | 88    |
| 6.1678     | 6.3043          | 89    |
| 6.1576     | 6.2845          | 90    |
| 6.1566     | 6.2820          | 91    |
| 6.1454     | 6.2695          | 92    |
| 6.1351     | 6.2746          | 93    |
| 6.1313     | 6.2629          | 94    |
| 6.1211     | 6.2618          | 95    |
| 6.1107     | 6.2512          | 96    |
| 6.1092     | 6.2542          | 97    |
| 6.0974     | 6.2551          | 98    |
| 6.0880     | 6.2594          | 99    |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3