End of training
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README.md
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---
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library_name: transformers
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license: mit
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base_model: prajjwal1/bert-
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tags:
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- generated_from_trainer
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metrics:
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# my_awesome_swag_model
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This model is a fine-tuned version of [prajjwal1/bert-
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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---
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library_name: transformers
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license: mit
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base_model: prajjwal1/bert-medium
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tags:
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- generated_from_trainer
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metrics:
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# my_awesome_swag_model
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This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2680
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- Accuracy: 0.46
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 6
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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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| No log | 1.0 | 7 | 1.3530 | 0.42 |
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| No log | 2.0 | 14 | 1.3340 | 0.42 |
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| No log | 3.0 | 21 | 1.3074 | 0.42 |
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| No log | 4.0 | 28 | 1.2832 | 0.42 |
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| No log | 5.0 | 35 | 1.2727 | 0.46 |
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| No log | 6.0 | 42 | 1.2680 | 0.46 |
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### Framework versions
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runs/Jan07_18-25-23_97a669587ffa/events.out.tfevents.1736274324.97a669587ffa.120229.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7233
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