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--- |
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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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metrics: |
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- accuracy |
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- f1 |
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duplicated_from: autoevaluate/natural-language-inference |
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model-index: |
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- name: autoevaluate/natural-language-inference-not-evaluated |
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results: |
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- task: |
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type: natural-language-inference |
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name: Natural Language Inference |
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dataset: |
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name: glue |
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type: glue |
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config: mrpc |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 0.8284313725490197 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzNjOTc5YTVkNGVhNjVhMGZlZDhlYmJmYTVjNjU4M2MzYmEzZjFlNjA1NjRmMGJkNzYxMzRlOWIxYWNiNDcxYiIsInZlcnNpb24iOjF9.w2yR3GN0vCif0WVealSXWA5BOsOckjglV_MNtvJFtcIzzdtQ_ttBzz092wXSq_Ikc21dETjP8rlX4VutIX8ZDg |
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- type: precision |
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value: 0.8317460317460318 |
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name: Precision |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzhmYzExMjNhZTZhNjYzMTBkZDYzNGQ3YTQzYTdkYzNjNmI1ODZjMTY2ZmU2NDhhZWM5NzQyM2NlMTcwYjkyNCIsInZlcnNpb24iOjF9.NQJgypOCQrPavNNNFb4XcvGWi0QAs6dnGZhzMlPahrs3h667hiVR6bBfHDoiPjGEWULN9_5jO9G8ZW_CqutbBg |
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- type: recall |
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value: 0.9390681003584229 |
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name: Recall |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWZiNzBkMzA3ODI5OGMxYTdlMGQxNGY0MGMxZmMzMDJlYzZjMDI5NjY1YWY5OTRiMDVlMzE5MjZhN2MxZDc0ZSIsInZlcnNpb24iOjF9.OtR_lHw_Qis0vpWCGCBltUmQ--iVJm6FZjmajIiKe9Hyn9rn9cG-_ZhSBc1geAwXUIcwy4oGW65DhXLeu0UKCA |
|
- type: auc |
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value: 0.8847906421049706 |
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name: AUC |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGIyYjU5N2M1MzM5MDY1MzZmYTQwY2MyYTZiZmU4YjM0ZjliZjAxOTk1NDlhNTI5ZDUyMDY4NDkzMTY3NTc1OSIsInZlcnNpb24iOjF9.ok5fv946G94PFiT-RHxSG9IIY_syDgh_YA2Kc7bPCeX-7m3z0W75qKGfmGwLkE3fc9f31tjhNpQfGvc6pQG9Cg |
|
- type: f1 |
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value: 0.8821548821548822 |
|
name: F1 |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTkyMGM2NWIzZjhkZDZlMzQzYzdmZjFmMThjZGU1NzJkMDYzYWUzMzZhZjdjNjQxY2UwNTExZDI4MmNiODZjNyIsInZlcnNpb24iOjF9.24PUrTlGWeZGLAsEyjPHArMiAU1Mw6_QkmU59jSsOc6f1L53qLEx4X2W8SbfVauDMnuo4edGZMkzumzHGj6bDA |
|
- type: loss |
|
value: 0.4118819236755371 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzRhODg5YjM2MTRhODEyYjA3ZWM5NGNmYmQ1YTVhY2Q0YWIzNDhkNDRkNTk2YzlkYTYzM2VjM2I5MDhjMDM0NiIsInZlcnNpb24iOjF9.C9DA-vmM8wi2H8Rc3qg1g_UNoGmtOqyHiJD7Z85IViVX4eU40T_J1zW1DSlx73YtesXooVVGX1ZsOBnsfCI0Aw |
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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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# natural-language-inference |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4120 |
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- Accuracy: 0.8284 |
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- F1: 0.8822 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 230 | 0.4288 | 0.8039 | 0.8644 | |
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| No log | 2.0 | 460 | 0.4120 | 0.8284 | 0.8822 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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