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End of training
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README.md
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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.
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- Accuracy: 0.
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- F1: 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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### Training results
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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: 1.4384
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- Accuracy: 0.7878
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- F1: 0.7840
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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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- lr_scheduler_warmup_steps: 300
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- num_epochs: 10
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### Training results
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runs/May14_09-05-19_08f6fd7a4346/events.out.tfevents.1715679470.08f6fd7a4346.353.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dc2a34050d8f72d6e3dc689b1788307e53cc7ace13b72515858838c3219a655
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size 826
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