ElifAker commited on
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +4 -4
  2. tf_model.h5 +1 -1
  3. tokenizer_config.json +4 -0
README.md CHANGED
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 6.3017
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- - Validation Loss: 5.4917
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  - Epoch: 0
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  ## Model description
@@ -36,14 +36,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10239, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 6.3017 | 5.4917 | 0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 6.3071
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+ - Validation Loss: 5.4973
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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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10239, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, '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 | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 6.3071 | 5.4973 | 0 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 503289936
 
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  size 503289936
tokenizer_config.json CHANGED
@@ -15,8 +15,12 @@
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "<|endoftext|>",
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  "errors": "replace",
 
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  "model_max_length": 1024,
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  "pad_token": "<|endoftext|>",
 
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  "tokenizer_class": "GPT2Tokenizer",
 
 
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  "unk_token": "<|endoftext|>"
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  }
 
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "<|endoftext|>",
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  "errors": "replace",
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+ "max_length": 40,
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  "model_max_length": 1024,
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  "pad_token": "<|endoftext|>",
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+ "stride": 0,
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  "tokenizer_class": "GPT2Tokenizer",
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+ "truncation_side": "right",
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+ "truncation_strategy": "longest_first",
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  "unk_token": "<|endoftext|>"
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  }