SimoneJLaudani
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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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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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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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: 1.6560
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- Precision: 0.3989
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- Recall: 0.3978
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- F1: 0.3908
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- Accuracy: 0.3978
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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: 5
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### Training results
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runs/Apr04_17-21-51_76de971d69be/events.out.tfevents.1712254574.76de971d69be.181.13
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5ee44c41cd4bb5d05da6a840bfb5e41c17550c1e196fa814ce0e38ae51f1e5b
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size 551
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