update model card README.md
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README.md
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metrics:
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- name: F1
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type: f1
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value: 0.
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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2.
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 31415
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.
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| 0.
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| 0.
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### Framework versions
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metrics:
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- name: F1
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type: f1
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value: 0.6690050628690761
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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6608
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- F1: 0.6690
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2.6774391860025942e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 31415
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6547 | 1.0 | 716 | 0.6173 | 0.6508 |
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| 0.57 | 2.0 | 1432 | 0.8629 | 0.6577 |
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| 0.2955 | 3.0 | 2148 | 1.4836 | 0.6722 |
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| 0.1903 | 4.0 | 2864 | 1.6608 | 0.6690 |
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### Framework versions
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