---
license: apache-2.0
base_model: bedus-creation/eng-limbu-t5-base-all-001
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/eng-limbu-t5-base-all-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. -->

# bedus-creation/eng-limbu-t5-base-all-001

This model is a fine-tuned version of [bedus-creation/eng-limbu-t5-base-all-001](https://huggingface.co/bedus-creation/eng-limbu-t5-base-all-001) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.1062
- Validation Loss: 2.9063
- Epoch: 53

## 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 |
|:----------:|:---------------:|:-----:|
| 7.0062     | 6.1115          | 0     |
| 6.0720     | 5.8817          | 1     |
| 5.8833     | 5.7515          | 2     |
| 5.7643     | 5.6312          | 3     |
| 5.6159     | 5.5281          | 4     |
| 5.5133     | 5.4337          | 5     |
| 5.4239     | 5.3227          | 6     |
| 5.3002     | 5.2327          | 7     |
| 5.1915     | 5.1267          | 8     |
| 5.1029     | 5.0370          | 9     |
| 4.9916     | 4.9413          | 10    |
| 4.8633     | 4.8633          | 11    |
| 4.7651     | 4.7806          | 12    |
| 4.6682     | 4.7019          | 13    |
| 4.5570     | 4.6346          | 14    |
| 4.4718     | 4.5772          | 15    |
| 4.3830     | 4.5084          | 16    |
| 4.2749     | 4.4127          | 17    |
| 4.1922     | 4.3616          | 18    |
| 4.1207     | 4.3160          | 19    |
| 4.0164     | 4.2560          | 20    |
| 3.9700     | 4.1961          | 21    |
| 3.8745     | 4.1515          | 22    |
| 3.8068     | 4.0910          | 23    |
| 3.7149     | 4.0444          | 24    |
| 3.6474     | 3.9920          | 25    |
| 3.5522     | 3.9630          | 26    |
| 3.5127     | 3.8822          | 27    |
| 3.4414     | 3.8390          | 28    |
| 3.3722     | 3.7892          | 29    |
| 3.2981     | 3.7517          | 30    |
| 3.2240     | 3.7112          | 31    |
| 3.1878     | 3.6488          | 32    |
| 3.1070     | 3.6168          | 33    |
| 3.0528     | 3.5680          | 34    |
| 2.9806     | 3.5328          | 35    |
| 2.9294     | 3.4970          | 36    |
| 2.8907     | 3.4519          | 37    |
| 2.8304     | 3.4270          | 38    |
| 2.7737     | 3.3785          | 39    |
| 2.7023     | 3.3517          | 40    |
| 2.6705     | 3.3207          | 41    |
| 2.6218     | 3.2700          | 42    |
| 2.5651     | 3.2356          | 43    |
| 2.5065     | 3.2072          | 44    |
| 2.4517     | 3.1826          | 45    |
| 2.4043     | 3.1395          | 46    |
| 2.3662     | 3.0882          | 47    |
| 2.3240     | 3.0693          | 48    |
| 2.2801     | 3.0547          | 49    |
| 2.2304     | 3.0123          | 50    |
| 2.1928     | 2.9626          | 51    |
| 2.1492     | 2.9453          | 52    |
| 2.1062     | 2.9063          | 53    |


### Framework versions

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