rexarski/eli5_category
Updated • 384 • 20
How to use BoghdadyJR/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="BoghdadyJR/my_awesome_eli5_mlm_model") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("BoghdadyJR/my_awesome_eli5_mlm_model")
model = AutoModelForMaskedLM.from_pretrained("BoghdadyJR/my_awesome_eli5_mlm_model")This model is a fine-tuned version of BoghdadyJR/my_awesome_eli5_mlm_model on the eli5_category dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 43 | 0.0000 |
| No log | 2.0 | 86 | 0.0015 |
| No log | 3.0 | 129 | 0.0002 |
| No log | 4.0 | 172 | 0.0000 |
| No log | 5.0 | 215 | 0.0000 |
| No log | 6.0 | 258 | 0.0103 |
| No log | 7.0 | 301 | 0.0002 |
| No log | 8.0 | 344 | 0.0000 |
| No log | 9.0 | 387 | 0.0000 |
| No log | 10.0 | 430 | 0.0000 |
| No log | 11.0 | 473 | 0.0000 |
| 0.0031 | 12.0 | 516 | 0.0000 |
| 0.0031 | 13.0 | 559 | 0.0000 |
| 0.0031 | 14.0 | 602 | 0.0000 |
| 0.0031 | 15.0 | 645 | 0.0000 |
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