End of training
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- pytorch_model.bin +1 -1
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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model-index:
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- name: assignment2_attempt10
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results: []
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# assignment2_attempt10
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This model is a fine-tuned version of [
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Framework versions
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- Transformers 4.34.1
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license: apache-2.0
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base_model: bert-base-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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- f1
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- accuracy
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model-index:
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- name: assignment2_attempt10
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results: []
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# assignment2_attempt10
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5285
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- Precision: 0.4333
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- Recall: 0.1102
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- F1: 0.1757
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- Accuracy: 0.9417
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 100
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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 | 128 | 0.3044 | 0.0 | 0.0 | 0.0 | 0.9385 |
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| No log | 2.0 | 256 | 0.2727 | 0.1341 | 0.0932 | 0.11 | 0.9370 |
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| No log | 3.0 | 384 | 0.3383 | 0.2973 | 0.0932 | 0.1419 | 0.9413 |
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| 0.2087 | 4.0 | 512 | 0.3512 | 0.3171 | 0.1102 | 0.1635 | 0.9409 |
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| 0.2087 | 5.0 | 640 | 0.3298 | 0.175 | 0.1186 | 0.1414 | 0.9383 |
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| 0.2087 | 6.0 | 768 | 0.3793 | 0.2209 | 0.1610 | 0.1863 | 0.9363 |
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| 0.2087 | 7.0 | 896 | 0.5285 | 0.4333 | 0.1102 | 0.1757 | 0.9417 |
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### Framework versions
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- Transformers 4.34.1
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pytorch_model.bin
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