yishairasowsky
commited on
End of training
Browse files
README.md
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---
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library_name: transformers
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license:
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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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# my_awesome_swag_model
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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: 1.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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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: distilbert-base-uncased
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2469
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- Accuracy: 0.466
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 63 | 1.3792 | 0.342 |
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| No log | 2.0 | 126 | 1.3472 | 0.368 |
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| No log | 3.0 | 189 | 1.2936 | 0.434 |
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| No log | 4.0 | 252 | 1.2597 | 0.454 |
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| No log | 5.0 | 315 | 1.2518 | 0.46 |
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| No log | 6.0 | 378 | 1.2469 | 0.466 |
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### Framework versions
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runs/Jan08_14-17-01_33098bc040ab/events.out.tfevents.1736345823.33098bc040ab.897.1
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size 7237
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