bhadauriaupendra062
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End of training
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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 [bert-base-uncased](https://huggingface.co/bert-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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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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metrics:
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- name: Precision
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type: precision
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value: 0.5676100628930818
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- name: Recall
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type: recall
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value: 0.3345690454124189
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- name: F1
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type: f1
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value: 0.4209912536443149
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- name: Accuracy
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type: accuracy
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value: 0.9413449617374203
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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 [bert-base-uncased](https://huggingface.co/bert-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: 0.2739
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- Precision: 0.5676
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- Recall: 0.3346
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- F1: 0.4210
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- Accuracy: 0.9413
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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 | 0.2898 | 0.6165 | 0.2697 | 0.3752 | 0.9388 |
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| No log | 2.0 | 426 | 0.2739 | 0.5676 | 0.3346 | 0.4210 | 0.9413 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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