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gokuls/hBERTv2_new_pretrain_48_emb_com_sst2
hBERTv2_new_pretrain_48_emb_com_sst2 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_emb_compress_48 on the GLUE SST2 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 |
|---|---|---|---|---|
| 0.4943 | 1.0 | 527 | 0.5216 | 0.7454 |
| 0.3354 | 2.0 | 1054 | 0.5366 | 0.7913 |
| 0.274 | 3.0 | 1581 | 0.5091 | 0.7982 |
| 0.2347 | 4.0 | 2108 | 0.5886 | 0.7970 |
| 0.2094 | 5.0 | 2635 | 0.4789 | 0.8050 |
| 0.1944 | 6.0 | 3162 | 0.5025 | 0.7993 |
| 0.1826 | 7.0 | 3689 | 0.6511 | 0.7901 |
| 0.1642 | 8.0 | 4216 | 0.5241 | 0.7993 |
| 0.1516 | 9.0 | 4743 | 0.6334 | 0.8016 |
| 0.1462 | 10.0 | 5270 | 0.6750 | 0.7913 |