bert-base-multilingual-cased-intent-booking
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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model-index:
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- name: bert-base-
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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-base-
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-bert/bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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model-index:
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- name: bert-base-multilingual-cased-intent-booking
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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-base-multilingual-cased-intent-booking
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3045
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- Accuracy: 0.9189
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- F1: 0.9155
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- Precision: 0.9322
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- Recall: 0.9189
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 2.246 | 1.0 | 65 | 1.7430 | 0.4730 | 0.3680 | 0.3529 | 0.4730 |
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| 0.972 | 2.0 | 130 | 0.3620 | 0.9369 | 0.9371 | 0.9417 | 0.9369 |
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| 0.3069 | 3.0 | 195 | 0.2379 | 0.9414 | 0.9412 | 0.9490 | 0.9414 |
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### Framework versions
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model.safetensors
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