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gokuls/hBERTv1_new_pretrain_w_init__mnli
hBERTv1_new_pretrain_w_init__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.
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 gokuls/bert_12_layer_model_v1_complete_training_new_wt_init 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 |
|---|---|---|---|---|
| 1.0911 | 1.0 | 3068 | 1.0944 | 0.3340 |
| 1.0984 | 2.0 | 6136 | 1.0967 | 0.3182 |
| 1.0988 | 3.0 | 9204 | 1.0962 | 0.3545 |
| 1.0989 | 4.0 | 12272 | 1.0970 | 0.3182 |
| 1.0986 | 5.0 | 15340 | 1.0896 | 0.3515 |
| 1.0984 | 6.0 | 18408 | 1.0986 | 0.3545 |
| 1.0992 | 7.0 | 21476 | 1.0994 | 0.3274 |
| 1.0993 | 8.0 | 24544 | 1.0999 | 0.3545 |
| 1.099 | 9.0 | 27612 | 1.0965 | 0.3182 |
| 1.0991 | 10.0 | 30680 | 1.1005 | 0.3182 |