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gokuls/sa_BERT_no_pretrain_mnli
sa_BERT_no_pretrain_mnli is a text classification model from gokuls. 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 bert-base-uncased on the GLUE MNLI 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 |
|---|---|---|---|---|
| 0.9765 | 1.0 | 4091 | 0.9090 | 0.5823 |
| 0.8799 | 2.0 | 8182 | 0.8625 | 0.6123 |
| 0.8193 | 3.0 | 12273 | 0.8227 | 0.6362 |
| 0.7551 | 4.0 | 16364 | 0.7929 | 0.6542 |
| 0.6961 | 5.0 | 20455 | 0.7901 | 0.6643 |
| 0.6403 | 6.0 | 24546 | 0.8298 | 0.6687 |
| 0.5831 | 7.0 | 28637 | 0.8135 | 0.6701 |
| 0.5224 | 8.0 | 32728 | 0.8831 | 0.6718 |
| 0.4602 | 9.0 | 36819 | 0.9055 | 0.6652 |
| 0.4003 | 10.0 | 40910 | 0.9812 | 0.6603 |