joelwigton commited on
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1b3564a
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Training in progress epoch 0

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  1. README.md +5 -5
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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  # joelwigton/t5-xsum
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/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: 2.6785
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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': 63765, '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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- | 2.6785 | 0 |
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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
config.json CHANGED
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  {
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- "_name_or_path": "t5-small",
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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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  ],
tf_model.h5 CHANGED
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  size 373902664
 
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