BulBERT-finetunes-BgGLUE
Collection
18 items • Updated
How to use mor40/BulBERT-cinexio-2pochs with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="mor40/BulBERT-cinexio-2pochs") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mor40/BulBERT-cinexio-2pochs")
model = AutoModelForSequenceClassification.from_pretrained("mor40/BulBERT-cinexio-2pochs")This model is a fine-tuned version of mor40/BulBERT-finetuned-cinexio on the bgglue 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 128 | 2.0114 | 0.5142 |
| No log | 2.0 | 256 | 2.0064 | 0.5154 |
Base model
mor40/BulBERT-chitanka-model