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--- |
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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: chunwoolee0/distilgpt2_eli5_clm |
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results: [] |
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--- |
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# chunwoolee0/distilgpt2_eli5_clm |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) |
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on an eli5 dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 3.7237 |
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- Validation Loss: 3.7528 |
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- Epoch: 2 |
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## Model description |
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DistilGPT2 is an English-language model pre-trained with the supervision of the 124 million parameter version of GPT-2. DistilGPT2, which has 82 million parameters, was developed using knowledge distillation and was designed to be a faster, lighter version of GPT-2. |
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## Intended uses & limitations |
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This is an exercise for finetuning of the pretrained causal language model. |
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## Training and evaluation data |
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## Training procedure |
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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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| 3.9048 | 3.7838 | 0 | |
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| 3.7853 | 3.7647 | 1 | |
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| 3.7237 | 3.7528 | 2 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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