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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: albert_squad_2.0 |
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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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# albert_squad_2.0 |
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6320 |
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- Validation Loss: 0.8542 |
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- Epoch: 2 |
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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': 'LAMB', 'learning_rate': 3e-05, 'weight_decay': 0.0, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-06, 'exclude_from_weight_decay': None, 'exclude_from_layer_adaptation': None} |
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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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| 1.1381 | 0.9066 | 0 | |
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| 0.7778 | 0.8423 | 1 | |
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| 0.6320 | 0.8542 | 2 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- TensorFlow 2.7.0 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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