Training in progress, epoch 1
Browse files- README.md +13 -12
- model.safetensors +1 -1
- training_args.bin +1 -1
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: google-bert/bert-base-
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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 [google-bert/bert-base-
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It achieves the following results on the evaluation set:
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- Loss:
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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-uncased
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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-uncased-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-uncased-intent-booking
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2216
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- Accuracy: 0.1486
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- F1: 0.0844
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- Precision: 0.0756
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- Recall: 0.1486
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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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| 2.3322 | 1.0 | 65 | 2.2660 | 0.1667 | 0.0846 | 0.0751 | 0.1667 |
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| 2.3151 | 2.0 | 130 | 2.2051 | 0.1441 | 0.0723 | 0.0769 | 0.1441 |
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| 2.2482 | 3.0 | 195 | 2.1706 | 0.1937 | 0.1458 | 0.1897 | 0.1937 |
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| 2.2075 | 4.0 | 260 | 2.1673 | 0.1712 | 0.1140 | 0.1348 | 0.1712 |
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### Framework versions
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model.safetensors
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training_args.bin
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