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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased-finetuned-sst-2-english |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetune_Distilbert_SST_Avalinguo_Fluency |
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results: [] |
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widget: |
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- text: "Engineer, Yeah, indeed, you know that the lady has a Phd. It's the 1st." |
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example_title: "High_fluency_1" |
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- text: "Oh, how was brown for you?" |
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example_title: "Low_fluency_1" |
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- text: "Now they can." |
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example_title: "Low_fluency_2" |
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- text: "But kind of plastics like growing more social consciousness, right?" |
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example_title: "High_fluency_2" |
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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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# finetune_Distilbert_SST_Avalinguo_Fluency |
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset. |
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## Model description |
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More information needed |
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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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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-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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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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