File size: 4,497 Bytes
78859a4 cd88a55 7cc5683 cd88a55 78859a4 f77f6b4 79c3b31 20e0886 846d2a1 972a77e 06004fd fc6941b 1ae9d09 0bce1f5 bea2f7b 6c8371c 0b7cac4 625917a b84bf89 75454fb 7cc5683 be21392 bc566be d8dae9e 2927e0c f9ae9ae cadefdf cd88a55 78859a4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-augmented_05
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. -->
# pakawadeep/mt5-small-finetuned-ctfl-augmented_05
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9083
- Validation Loss: 0.9637
- Train Rouge1: 8.4866
- Train Rouge2: 1.3861
- Train Rougel: 8.4512
- Train Rougelsum: 8.4866
- Train Gen Len: 11.9554
- Epoch: 23
## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 9.2952 | 2.6353 | 1.5618 | 0.0 | 1.5117 | 1.5288 | 16.5347 | 0 |
| 4.7507 | 1.8159 | 5.5776 | 0.2888 | 5.5611 | 5.5281 | 12.2475 | 1 |
| 3.4617 | 1.8004 | 4.7218 | 0.2888 | 4.7218 | 4.6723 | 11.2723 | 2 |
| 2.8272 | 1.7197 | 6.1410 | 0.8251 | 6.1410 | 6.0113 | 11.1634 | 3 |
| 2.4003 | 1.6328 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.7277 | 4 |
| 2.0952 | 1.5374 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.8713 | 5 |
| 1.8634 | 1.4405 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9406 | 6 |
| 1.6782 | 1.3615 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9307 | 7 |
| 1.5333 | 1.3046 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9356 | 8 |
| 1.4151 | 1.2718 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9455 | 9 |
| 1.3320 | 1.2373 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9406 | 10 |
| 1.2664 | 1.2064 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9158 | 11 |
| 1.2220 | 1.1775 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9356 | 12 |
| 1.1767 | 1.1413 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9554 | 13 |
| 1.1303 | 1.1072 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9505 | 14 |
| 1.0972 | 1.0782 | 8.6987 | 1.7822 | 8.6987 | 8.6987 | 11.9703 | 15 |
| 1.0664 | 1.0578 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9554 | 16 |
| 1.0392 | 1.0504 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9752 | 17 |
| 1.0152 | 1.0242 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9653 | 18 |
| 0.9892 | 1.0193 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9703 | 19 |
| 0.9627 | 0.9990 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9802 | 20 |
| 0.9460 | 0.9869 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9752 | 21 |
| 0.9262 | 0.9735 | 7.9562 | 1.3861 | 7.9562 | 7.9562 | 11.9703 | 22 |
| 0.9083 | 0.9637 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9554 | 23 |
### Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1
|