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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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model-index: |
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- name: natural-language-inference |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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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: train |
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args: mrpc |
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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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- type: f1 |
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value: 0.8821548821548822 |
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name: F1 |
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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.eyJoYXNoIjoiY2M5YTZkYzE2NWFiYmNiNjljMjEzOWFkMzUyNDNhZmY0YjVjZmVlYjYzYzVmYTQyOGRiOTkyM2ZlZjMyMDVjMSIsInZlcnNpb24iOjF9.UjLZUc4z71OQewLCeA3tNjUpiZ8RfoojFDZBbC1hAAGUu38PKHg9EjLLE9_xV_Q0UrlQZnU_1gCjisczRnuRBQ |
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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 |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDUwN2JjZTgwYzI5MWJjYTY4ZjJmZmI1MzMyNzdkMmU3MzZmOGIzNDg1NjljYzQ3NDM4NDI3ZmJmN2E1ZGFlYyIsInZlcnNpb24iOjF9.2_97LjZNzaqr1Y_5KS3drJXod88tnR8nxueoykW5HyAjOZWyHUxWnVYCehp69uStMqZZdEoIcmEbUO-G9UtsBQ |
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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 |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmY0YTA5OTJmNDA1ZWMwODFjM2ZjYTQ2NDk3YTVjMWVlODk3MDAwNGQ5NTIxMDNmNWNiZjVjZjNkMjZkMjRhNCIsInZlcnNpb24iOjF9.lzgiHn52oU5rfHt5nn6MCLD96EQ7v617tnyBQrvyXRRhNTbRnEahIw-HlgGwttBEvIuY3sdC-PO1_27_B4NRBg |
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- type: auc |
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value: 0.8847906421049706 |
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name: AUC |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE0NmY0MzdjMWU4OTk3YzRjYzNmZDlmODY4ZTY2MTI3ODgyMGIwNTBkYTJlZjlmYmQwMWQ5YjZmYmRiNmVhMSIsInZlcnNpb24iOjF9.w9SJJidX_yNOl3OpJ06h8uwdD1AE-29wC6h3FkzAuOg9Je3zebrIpANRCeS7Dlx0XVAYgrPx0fHGpEmE6xycAQ |
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- type: f1 |
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value: 0.8821548821548822 |
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name: F1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjRhNGQxYjZiMTNlNWNlZmNlMzI3YzMzNTZjYTM4ZmRlMmMwN2U2ODhhYjlkOTA2M2U5YTlhNWYzMzM1OGRiYSIsInZlcnNpb24iOjF9.mhZ9x1uP2duocbA1J5QwZ8KmjanY1bsyhS4jWXdr3Kmx6crIzTEie_7NxnoMhVvZSah-bnm9u2ZwncKevz38Dg |
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- type: loss |
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value: 0.4118819236755371 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQyNzc3ZmIwMDZiY2IwNmM1NjlhNTUwOWI1OTcwOWQ0ZWQxMGNjOWFkNDkzYWVjNDcyYmNkZGJjOWIxYzg2ZiIsInZlcnNpb24iOjF9.0MSbwf_Ac8NLHAHueYvlqMpoIvn6PV0okEkJZOQyxmX0x1f8jqoIgyPciKNHxvzKJn_lyKbWmWGhbhrsDcebDQ |
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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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