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Training in progress epoch 0
Browse files- README.md +5 -5
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-
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tags:
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- generated_from_keras_callback
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model-index:
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# joelwigton/t5-xsum
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This model is a fine-tuned version of [t5-
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It achieves the following results on the evaluation set:
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- Train Loss: 2.
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps':
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 2.
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### Framework versions
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---
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license: apache-2.0
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base_model: joelwigton/t5-xsum
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tags:
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- generated_from_keras_callback
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model-index:
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# joelwigton/t5-xsum
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This model is a fine-tuned version of [joelwigton/t5-xsum](https://huggingface.co/joelwigton/t5-xsum) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.5308
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 51012, 'end_learning_rate': 1e-05, 'power': 1, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 2.5308 | 0 |
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### Framework versions
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config.json
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{
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"_name_or_path": "t5-
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "joelwigton/t5-xsum",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 373902664
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version https://git-lfs.github.com/spec/v1
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oid sha256:67fa4b2ff7a649af0437da0a6f1401b7fbaf6334bad6103209e428118dbb432c
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size 373902664
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