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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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model-index: |
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- name: bert-base-uncased-sst2-unstructured-sparsity-80 |
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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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# bert-base-uncased-sst2-unstructured-sparsity-80 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE SST2 dataset. |
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The sparsity on linear layers is 80%. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.4133 |
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- eval_accuracy: 0.9128 |
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- eval_runtime: 31.5327 |
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- eval_samples_per_second: 27.654 |
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- eval_steps_per_second: 3.457 |
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## Model description |
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- eval config： max_seq_length 128 |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
