BrianLiu commited on
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Training in progress epoch 0

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README.md CHANGED
@@ -2,20 +2,22 @@
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  license: apache-2.0
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  base_model: distilgpt2
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  tags:
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- - generated_from_trainer
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  model-index:
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- - name: distilgpt2-finetuned-wikitext2
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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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- # distilgpt2-finetuned-wikitext2
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.6420
 
 
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  ## Model description
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@@ -34,26 +36,19 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 3.0
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 3.7501 | 1.0 | 2334 | 3.6669 |
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- | 3.6498 | 2.0 | 4668 | 3.6464 |
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- | 3.6023 | 3.0 | 7002 | 3.6420 |
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  ### Framework versions
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  - Transformers 4.39.3
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  license: apache-2.0
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  base_model: distilgpt2
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  tags:
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+ - generated_from_keras_callback
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  model-index:
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+ - name: BrianLiu/distilgpt2-finetuned-wikitext2
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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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+ # BrianLiu/distilgpt2-finetuned-wikitext2
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 3.8578
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+ - Validation Loss: 3.6751
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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': 2e-05, '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: float32
 
 
 
 
 
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  ### Training results
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 3.8578 | 3.6751 | 0 |
 
 
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  ### Framework versions
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  - Transformers 4.39.3
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+ - TensorFlow 2.15.0
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
config.json CHANGED
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  "max_length": 50
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  }
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  },
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- "torch_dtype": "float32",
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  "transformers_version": "4.39.3",
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  "use_cache": true,
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  "vocab_size": 50257
 
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  "max_length": 50
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  }
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  },
 
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  "transformers_version": "4.39.3",
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  "use_cache": true,
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  "vocab_size": 50257
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