Add model weights and configuration
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README.md
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---
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language: en
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license: apache-2.0
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datasets:
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- sst-2
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---
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# DistilBERT base uncased finetuned SST-2
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This model is a fine-tune checkpoint of [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned on SST-2.
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This model reaches an accuracy of 91.3 on the dev set (for comparison, Bert bert-base-uncased version reaches an accuracy of 92.7).
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# Fine-tuning hyper-parameters
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- learning_rate = 1e-5
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- batch_size = 32
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- warmup = 600
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- max_seq_length = 128
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- num_train_epochs = 3.0
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