End of training
Browse files
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 conll2003 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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| 0.
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| 0.0304 | 3.0 | 2634 | 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: 0.9274864175629227
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- name: Recall
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type: recall
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value: 0.9357870007830854
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- name: F1
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type: f1
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value: 0.931618220291792
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- name: Accuracy
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type: accuracy
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value: 0.9837005734983398
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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 conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0618
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- Precision: 0.9275
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- Recall: 0.9358
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- F1: 0.9316
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- Accuracy: 0.9837
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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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| 0.2391 | 1.0 | 878 | 0.0698 | 0.8993 | 0.9191 | 0.9091 | 0.9797 |
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| 0.0529 | 2.0 | 1756 | 0.0609 | 0.92 | 0.9340 | 0.9269 | 0.9829 |
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| 0.0304 | 3.0 | 2634 | 0.0618 | 0.9275 | 0.9358 | 0.9316 | 0.9837 |
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### Framework versions
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runs/Mar24_10-18-18_bdce0a1b1624/events.out.tfevents.1742811537.bdce0a1b1624.1914.2
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