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--- |
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base_model: google/pegasus-large |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: s-man2099/google-pegasus-large |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# s-man2099/google-pegasus-large |
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.0100 |
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- Validation Loss: 3.5622 |
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- Epoch: 7 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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': 5.999999e-13, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 4.4456 | 3.5894 | 0 | |
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| 4.0552 | 3.5645 | 1 | |
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| 4.0056 | 3.5623 | 2 | |
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| 3.9808 | 3.5622 | 3 | |
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| 3.9825 | 3.5622 | 4 | |
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| 4.0072 | 3.5622 | 5 | |
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| 3.9842 | 3.5622 | 6 | |
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| 4.0100 | 3.5622 | 7 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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