d2j666 commited on
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21838fb
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1 Parent(s): 8709d3c

Training in progress epoch 0

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Files changed (5) hide show
  1. README.md +7 -9
  2. config.json +1 -1
  3. special_tokens_map.json +1 -0
  4. tf_model.h5 +1 -1
  5. tokenizer.json +6 -1
README.md CHANGED
@@ -3,20 +3,20 @@ license: mit
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: competitorDescriptions-ds-mini
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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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- # competitorDescriptions-ds-mini
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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: 9.1714
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- - Validation Loss: 8.9614
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- - Epoch: 2
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  ## Model description
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@@ -35,16 +35,14 @@ 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: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -984, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, '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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- | 9.6302 | 9.5502 | 0 |
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- | 9.4638 | 9.2825 | 1 |
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- | 9.1714 | 8.9614 | 2 |
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: d2j666/competitorDescriptions-ds-mini
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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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+ # d2j666/competitorDescriptions-ds-mini
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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: 9.3039
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+ - Validation Loss: 8.8426
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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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -946, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, '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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+ | 9.3039 | 8.8426 | 0 |
 
 
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  ### Framework versions
config.json CHANGED
@@ -11,7 +11,7 @@
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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- "n_ctx": 40,
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  "n_embd": 768,
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  "n_head": 12,
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  "n_inner": null,
 
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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+ "n_ctx": 80,
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  "n_embd": 768,
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  "n_head": 12,
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  "n_inner": null,
special_tokens_map.json CHANGED
@@ -1,5 +1,6 @@
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  "bos_token": "<|endoftext|>",
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  "eos_token": "<|endoftext|>",
 
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  "unk_token": "<|endoftext|>"
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  }
 
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  "bos_token": "<|endoftext|>",
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  "eos_token": "<|endoftext|>",
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+ "pad_token": "<|endoftext|>",
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  "unk_token": "<|endoftext|>"
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tf_model.h5 CHANGED
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tokenizer.json CHANGED
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