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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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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-small-mmlu-qa2a |
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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-small-mmlu-qa2a |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2046 |
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- Validation Loss: 0.2880 |
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- Epoch: 1 |
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<pre>{'eval_loss': 3.1777148246765137, |
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'eval_bleu': 8.258012778244474, |
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'eval_rouge1': 19.05, |
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'eval_rouge2': 6.45, |
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'eval_rougeL': 17.73, |
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'eval_rougeLsum': 17.73, |
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'eval_exact': 0.0010739490641301012, |
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'eval_runtime': 155.1163, |
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'eval_samples_per_second': 84.04, |
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'eval_steps_per_second': 2.63}</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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| 0.4413 | 0.2854 | 0 | |
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| 0.2046 | 0.2880 | 1 | |
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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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