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End of training
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README.md
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# my_awesome_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss:
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.
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### Framework versions
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# my_awesome_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3606
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- Accuracy: 0.5478
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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: 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 | 259 | 1.0397 | 0.5565 |
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| 0.8822 | 2.0 | 518 | 1.0877 | 0.5556 |
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| 0.8822 | 3.0 | 777 | 1.1596 | 0.5391 |
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| 0.6634 | 4.0 | 1036 | 1.2573 | 0.5594 |
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| 0.6634 | 5.0 | 1295 | 1.3176 | 0.5488 |
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| 0.4813 | 6.0 | 1554 | 1.3606 | 0.5478 |
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### Framework versions
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model.safetensors
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runs/Dec31_04-22-20_d316b855c9ba/events.out.tfevents.1703996541.d316b855c9ba.6307.1
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size 7117
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