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gokuls/hBERTv2_new_pretrain_48_ver2_sst2
hBERTv2_new_pretrain_48_ver2_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_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 |
|---|---|---|---|---|
| 0.375 | 1.0 | 1053 | 0.5059 | 0.8050 |
| 0.2445 | 2.0 | 2106 | 0.5165 | 0.8028 |
| 0.224 | 3.0 | 3159 | 0.5299 | 0.8119 |
| 0.2046 | 4.0 | 4212 | 0.5749 | 0.8073 |
| 0.202 | 5.0 | 5265 | 0.6168 | 0.8050 |
| 0.2027 | 6.0 | 6318 | 0.5630 | 0.8005 |