End of training
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- runs/May07_08-29-13_jupyter-ad-2dpwb3-5fnguyend8-40science-2eregn-2enet/events.out.tfevents.1715070557.jupyter-ad-2dpwb3-5fnguyend8-40science-2eregn-2enet.3229.3 +2 -2
- runs/May07_08-29-13_jupyter-ad-2dpwb3-5fnguyend8-40science-2eregn-2enet/events.out.tfevents.1715072054.jupyter-ad-2dpwb3-5fnguyend8-40science-2eregn-2enet.3229.4 +3 -0
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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# bert-fine-tuned-boolq
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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: 2.
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- Accuracy: 0.
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## Model description
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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# bert-fine-tuned-boolq
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 2.0432
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- Accuracy: 0.7489
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## Model description
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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: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.2975 | 1.0 | 2357 | 1.3526 | 0.7401 |
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| 0.224 | 2.0 | 4714 | 1.5869 | 0.7312 |
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| 0.2462 | 3.0 | 7071 | 1.6905 | 0.7419 |
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| 0.1075 | 4.0 | 9428 | 1.8846 | 0.7529 |
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| 0.0262 | 5.0 | 11785 | 2.0432 | 0.7489 |
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### Framework versions
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model.safetensors
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