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README.md
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# toy
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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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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 |
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### Framework versions
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# toy
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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: 0.2244
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 50 | 0.2753 |
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| No log | 2.0 | 100 | 0.2382 |
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| No log | 3.0 | 150 | 0.2362 |
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| No log | 4.0 | 200 | 0.2340 |
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| No log | 5.0 | 250 | 0.2278 |
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| No log | 6.0 | 300 | 0.2225 |
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| No log | 7.0 | 350 | 0.2233 |
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| No log | 8.0 | 400 | 0.2250 |
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| No log | 9.0 | 450 | 0.2244 |
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| 0.548 | 10.0 | 500 | 0.2244 |
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### Framework versions
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