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gokuls/hBERTv2_new_pretrain_w_init_48_ver2_mnli
hBERTv2_new_pretrain_w_init_48_ver2_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_v2_complete_training_new_wt_init_48 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 |
|---|---|---|---|---|
| 1.1017 | 1.0 | 6136 | 1.0992 | 0.3182 |
| 1.0988 | 2.0 | 12272 | 1.0993 | 0.3182 |
| 1.0987 | 3.0 | 18408 | 1.0986 | 0.3182 |
| 1.0987 | 4.0 | 24544 | 1.0985 | 0.3545 |
| 1.0987 | 5.0 | 30680 | 1.0986 | 0.3182 |
| 1.0986 | 6.0 | 36816 | 1.0986 | 0.3274 |
| 1.0986 | 7.0 | 42952 | 1.0986 | 0.3545 |
| 1.0986 | 8.0 | 49088 | 1.0986 | 0.3545 |
| 1.0986 | 9.0 | 55224 | 1.0986 | 0.3182 |