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gokuls/bert_12_layer_model_v1_complete_training_new
bert_12_layer_model_v1_complete_training_new is a fill-mask model from gokuls. Use it when you need the model to fill a missing word. 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 on the None 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 |
|---|---|---|---|---|
| 6.5749 | 0.08 | 10000 | 6.5382 | 0.1269 |
| 6.3332 | 0.16 | 20000 | 6.3097 | 0.1411 |
| 6.2343 | 0.25 | 30000 | 6.2182 | 0.1450 |
| 6.1807 | 0.33 | 40000 | 6.1587 | 0.1478 |
| 6.0548 | 0.41 | 50000 | 6.0215 | 0.1529 |
| 5.8862 | 0.49 | 60000 | 5.8339 | 0.1672 |
| 5.7493 | 0.57 | 70000 | 5.6845 | 0.1878 |
| 5.596 | 0.66 | 80000 | 5.5063 | 0.2078 |
| 5.071 | 0.74 | 90000 | 4.8887 | 0.2781 |
| 4.6869 | 0.82 | 100000 | 4.5161 | 0.3159 |