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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: quote-type-sentence-model |
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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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# quote-type-sentence-model |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) to perform sentence level classification on |
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a news dataset. The following sentence level tags are identified: |
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``` |
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'No Quote' |
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'Direct Quote' |
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'Published Work/Press Report' |
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'Indirect Quote' |
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'Statement/Public Speech' |
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'Background/Narrative' |
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'Other' |
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'Proposal/Order/Law' |
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'Email/Social Media Post' |
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'Court Proceeding' |
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'Direct Observation' |
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``` |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8795 |
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- F1: 0.5407 |
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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: 1 |
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- eval_batch_size: 1 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 0.19 | 100 | 1.1174 | 0.2831 | |
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| No log | 0.38 | 200 | 1.1066 | 0.3356 | |
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| No log | 0.57 | 300 | 1.0490 | 0.4126 | |
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| No log | 0.76 | 400 | 1.0280 | 0.3778 | |
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| 1.0973 | 0.95 | 500 | 0.9378 | 0.4492 | |
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| 1.0973 | 1.14 | 600 | 1.0546 | 0.4650 | |
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| 1.0973 | 1.33 | 700 | 0.9806 | 0.4619 | |
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| 1.0973 | 1.52 | 800 | 0.8989 | 0.5176 | |
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| 1.0973 | 1.7 | 900 | 0.9531 | 0.5078 | |
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| 0.8155 | 1.89 | 1000 | 0.9482 | 0.4781 | |
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| 0.8155 | 2.08 | 1100 | 0.8935 | 0.5084 | |
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| 0.8155 | 2.27 | 1200 | 0.9059 | 0.5236 | |
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| 0.8155 | 2.46 | 1300 | 0.9483 | 0.5127 | |
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| 0.8155 | 2.65 | 1400 | 0.8961 | 0.5355 | |
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| 0.6225 | 2.84 | 1500 | 0.8795 | 0.5407 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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