End of training
Browse files- README.md +3 -3
- model.safetensors +1 -1
- runs/Apr08_01-43-06_LAPTOP-ANUS2U3C/events.out.tfevents.1712536987.LAPTOP-ANUS2U3C.12712.0 +3 -0
- runs/Apr08_01-54-44_LAPTOP-ANUS2U3C/events.out.tfevents.1712537686.LAPTOP-ANUS2U3C.21048.0 +3 -0
- runs/Apr08_02-43-12_LAPTOP-ANUS2U3C/events.out.tfevents.1712540593.LAPTOP-ANUS2U3C.21048.1 +3 -0
- runs/Apr08_02-43-12_LAPTOP-ANUS2U3C/events.out.tfevents.1712543116.LAPTOP-ANUS2U3C.21048.2 +3 -0
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README.md
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This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9962
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- F1: 0.9965
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- Recall: 0
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- Precision: 0.
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## Model description
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This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0307
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- Accuracy: 0.9962
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- F1: 0.9965
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- Recall: 1.0
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- Precision: 0.9931
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## Model description
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model.safetensors
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