Training in progress, step 500
Browse files- README.md +11 -11
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README.md
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- recall
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- f1
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model-index:
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- name: BERT-
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results: []
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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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# BERT-
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 |
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| 0.
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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- recall
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- f1
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model-index:
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- name: BERT-Libertarian
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results: []
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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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# BERT-Libertarian
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Precision: 0.6101
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- Recall: 0.6414
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- F1: 0.6254
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 | 302 | nan | 0.6213 | 0.4303 | 0.5085 |
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| 0.0 | 2.0 | 604 | nan | 0.6480 | 0.5338 | 0.5854 |
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| 0.0 | 3.0 | 906 | nan | 0.6101 | 0.6414 | 0.6254 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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