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SiddharthaM/xlm-sentiment-new
xlm-sentiment-new is a text classification model from SiddharthaM. 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 | 296 | 0.5519 | 0.7310 | 0.7266 | 0.7310 | 0.7277 |
| 0.5719 | 2.0 | 592 | 0.5569 | 0.75 | 0.7562 | 0.75 | 0.7302 |
| 0.5719 | 3.0 | 888 | 0.5320 | 0.7243 | 0.7269 | 0.7243 | 0.7254 |
| 0.477 | 4.0 | 1184 | 0.5771 | 0.7300 | 0.7264 | 0.7300 | 0.7276 |
| 0.477 | 5.0 | 1480 | 0.6051 | 0.7376 | 0.7361 | 0.7376 | 0.7368 |
| 0.428 | 6.0 | 1776 | 0.6166 | 0.7405 | 0.7375 | 0.7405 | 0.7386 |