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jayanta/xlm-roberta-base-english-sentweet-sentiment
xlm-roberta-base-english-sentweet-sentiment is a text classification model from jayanta. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 81 | 0.5108 | 0.7708 | 0.7955 | 0.7804 | 0.7692 |
| No log | 2.0 | 162 | 0.5028 | 0.7882 | 0.8054 | 0.7961 | 0.7875 |
| No log | 3.0 | 243 | 0.4881 | 0.7847 | 0.8102 | 0.7943 | 0.7832 |
| No log | 4.0 | 324 | 0.4914 | 0.8090 | 0.8248 | 0.8166 | 0.8085 |
| No log | 5.0 | 405 | 0.5390 | 0.8090 | 0.8248 | 0.8166 | 0.8085 |
| No log | 6.0 | 486 | 0.5227 | 0.8090 | 0.8294 | 0.8176 | 0.8082 |