File size: 1,962 Bytes
468624c 6a5b5da 468624c 6a5b5da 468624c 6a5b5da 468624c 6a5b5da 468624c |
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 |
---
library_name: transformers
license: apache-2.0
base_model: thonyyy/pegasus_indonesian_base-finetune
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/pegasus_informative_canon_hyperparameter_tuned
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. -->
# arthd24/pegasus_informative_canon_hyperparameter_tuned
This model is a fine-tuned version of [thonyyy/pegasus_indonesian_base-finetune](https://huggingface.co/thonyyy/pegasus_indonesian_base-finetune) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.0324
- Validation Loss: 1.2397
- Epoch: 11
## 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': 7.15031e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.02365212417840069}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.5627 | 1.3677 | 0 |
| 1.4182 | 1.3199 | 1 |
| 1.3440 | 1.2872 | 2 |
| 1.2875 | 1.2683 | 3 |
| 1.2384 | 1.2499 | 4 |
| 1.1982 | 1.2424 | 5 |
| 1.1645 | 1.2335 | 6 |
| 1.1344 | 1.2335 | 7 |
| 1.1076 | 1.2298 | 8 |
| 1.0806 | 1.2320 | 9 |
| 1.0560 | 1.2341 | 10 |
| 1.0324 | 1.2397 | 11 |
### Framework versions
- Transformers 4.51.3
- TensorFlow 2.16.1
- Datasets 3.5.0
- Tokenizers 0.21.1
|