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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: t5-base-trivia-v2-c2a |
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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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# t5-base-trivia-v2-c2a |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0262 |
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- Validation Loss: 0.0442 |
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- Epoch: 2 |
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<pre>{'eval_loss': 0.6880931854248047, |
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'eval_bleu': 41.64364079630949, |
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'eval_rouge1': 49.33, |
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'eval_rouge2': 23.97, |
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'eval_rougeL': 49.37, |
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'eval_rougeLsum': 49.34, |
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'eval_exact': 0.4503935477601788, |
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'eval_runtime': 571.9059, |
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'eval_samples_per_second': 17.994, |
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'eval_steps_per_second': 0.563}</pre> |
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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': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.1841 | 0.0419 | 0 | |
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| 0.0358 | 0.0415 | 1 | |
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| 0.0262 | 0.0442 | 2 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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