File size: 1,887 Bytes
eedcffc a6bdd5a eedcffc 6091bd9 eedcffc 4ad84a3 0203e11 7b60dce 8c6b217 5590630 d9833e5 70244ed 6091bd9 e1d7988 a6bdd5a eedcffc |
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-1000
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-1000
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: 3.2314
- Validation Loss: 3.5643
- 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 |
|:----------:|:---------------:|:-----:|
| 3.9851 | 3.6010 | 0 |
| 3.7143 | 3.5460 | 1 |
| 3.5973 | 3.5299 | 2 |
| 3.5158 | 3.5266 | 3 |
| 3.4439 | 3.5331 | 4 |
| 3.3673 | 3.5419 | 5 |
| 3.2942 | 3.5538 | 6 |
| 3.2253 | 3.5580 | 7 |
| 3.2226 | 3.5617 | 8 |
| 3.2314 | 3.5643 | 9 |
### Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
|