End of training
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README.md
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---
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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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# nlp_til3
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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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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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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 | 219 | 0.
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| No log | 2.0 | 438 | 0.
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| 0.0312 | 3.0 | 657 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0312 | 4.0 | 876 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0004 | 5.0 | 1095 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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---
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license: apache-2.0
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base_model: google/mobilebert-uncased
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tags:
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- generated_from_trainer
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metrics:
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# nlp_til3
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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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 | 219 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 2.0 | 438 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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