part 1 model pretrained with cleaned C code corpus only

README.md

@@ -1,52 +0,0 @@
----
-tags:
-- generated_from_trainer
-model-index:
-- name: graphcodebert-c
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# GraphCodeBERT-C
-
-This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3302
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.12.0.dev0
-- Pytorch 1.9.0+cu111
-- Datasets 1.11.0
-- Tokenizers 0.10.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b908163d78e6555fed9534871ccc566cb052a9d1e1bf12879da45136ee540f78
+oid sha256:8b8bbff4e013bcc1570e01c84186e5810a826e0bb5232497703adbf143da7e2f
 size 498861675