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IIIT-L/albert-base-v2-finetuned-code-mixed-DS
albert-base-v2-finetuned-code-mixed-DS is a text classification model from IIIT-L. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of albert-base-v2 on an unknown 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 |
|---|---|---|---|---|---|---|---|
| 0.9207 | 1.0 | 497 | 0.7810 | 0.6016 | 0.5878 | 0.5953 | 0.5264 |
| 0.7519 | 2.0 | 994 | 0.8159 | 0.6600 | 0.6020 | 0.6194 | 0.6015 |
| 0.6029 | 3.0 | 1491 | 0.8026 | 0.7163 | 0.6599 | 0.6604 | 0.6593 |
| 0.4259 | 4.0 | 1988 | 0.9464 | 0.7384 | 0.7058 | 0.6808 | 0.6822 |
| 0.2845 | 5.0 | 2485 | 1.0408 | 0.7324 | 0.6883 | 0.6822 | 0.6833 |