code-search-net/code_search_net
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How to use shradha01/MLM_FinetunedModel with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="shradha01/MLM_FinetunedModel") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("shradha01/MLM_FinetunedModel")
model = AutoModelForMaskedLM.from_pretrained("shradha01/MLM_FinetunedModel")This model is a fine-tuned version of microsoft/codebert-base-mlm on the code_search_net 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 | 79 | 1.0892 |
| 1.2429 | 2.0 | 158 | 1.0337 |
| 1.2429 | 3.0 | 237 | 1.0251 |
Base model
microsoft/codebert-base-mlm