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update model card README.md
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README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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value: 0.
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- name: F1
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type: f1
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value: 0.
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- name: Accuracy
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type: accuracy
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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 wnut_17 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 213 | 0.
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| No log | 2.0 | 426 | 0.
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| 0.
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### Framework versions
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metrics:
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- name: Precision
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type: precision
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value: 0.5409836065573771
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- name: Recall
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type: recall
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value: 0.39759036144578314
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- name: F1
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type: f1
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value: 0.45833333333333337
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- name: Accuracy
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type: accuracy
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value: 0.9469026548672567
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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 wnut_17 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2937
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- Precision: 0.5410
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- Recall: 0.3976
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- F1: 0.4583
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- Accuracy: 0.9469
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 213 | 0.2700 | 0.5102 | 0.3698 | 0.4288 | 0.9447 |
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| No log | 2.0 | 426 | 0.2827 | 0.5687 | 0.3874 | 0.4609 | 0.9469 |
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| 0.0553 | 3.0 | 639 | 0.2937 | 0.5410 | 0.3976 | 0.4583 | 0.9469 |
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### Framework versions
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