File size: 1,887 Bytes
fe1d43a 866bd86 fe1d43a 2d51db6 fe1d43a c54f3e7 1321523 0295129 7efb68e 7c2b2c2 6754c34 350cc00 2d51db6 634d53d 866bd86 fe1d43a |
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 |
---
base_model: google/pegasus-large
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/gpl-3000
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. -->
# s-man2099/gpl-3000
This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.0904
- Validation Loss: 3.4411
- Epoch: 9
## 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': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.8518 | 3.4450 | 0 |
| 3.5976 | 3.4109 | 1 |
| 3.4730 | 3.3992 | 2 |
| 3.3789 | 3.3987 | 3 |
| 3.3083 | 3.4055 | 4 |
| 3.2449 | 3.4183 | 5 |
| 3.1811 | 3.4343 | 6 |
| 3.1092 | 3.4363 | 7 |
| 3.0990 | 3.4389 | 8 |
| 3.0904 | 3.4411 | 9 |
### Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
|