AdnanRiaz107
/

CBERT-MBPP

@@ -1,199 +1,79 @@
 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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 ---
+base_model: microsoft/codebert-base-mlm
+tags:
+- generated_from_trainer
+model-index:
+- name: CBERT-MBPP
+  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. -->
+# CBERT-MBPP
+This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0099
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0215        | 0.05  | 500   | 0.0196          |
+| 0.0087        | 0.1   | 1000  | 0.0091          |
+| 0.0093        | 0.15  | 1500  | 0.0090          |
+| 0.0096        | 0.2   | 2000  | 0.0094          |
+| 0.009         | 0.25  | 2500  | 0.0095          |
+| 0.01          | 0.3   | 3000  | 0.0091          |
+| 0.01          | 0.35  | 3500  | 0.0093          |
+| 0.0093        | 0.4   | 4000  | 0.0094          |
+| 0.0086        | 0.45  | 4500  | 0.0098          |
+| 0.0085        | 0.5   | 5000  | 0.0097          |
+| 0.0094        | 0.55  | 5500  | 0.0099          |
+| 0.0099        | 0.6   | 6000  | 0.0101          |
+| 0.0096        | 0.65  | 6500  | 0.0099          |
+| 0.0104        | 0.7   | 7000  | 0.0099          |
+| 0.0096        | 0.75  | 7500  | 0.0097          |
+| 0.0087        | 0.8   | 8000  | 0.0098          |
+| 0.0105        | 0.85  | 8500  | 0.0099          |
+| 0.0098        | 0.9   | 9000  | 0.0098          |
+| 0.0091        | 0.95  | 9500  | 0.0099          |
+| 0.0101        | 1.0   | 10000 | 0.0099          |
+### Framework versions
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json CHANGED Viewed

@@ -12,6 +12,7 @@
   "hidden_size": 768,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "roberta",
@@ -20,8 +21,9 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "transformers_version": "4.38.2",
   "type_vocab_size": 1,
-  "use_cache": true,
   "vocab_size": 50265
 }

   "hidden_size": 768,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "is_decoder": true,
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "roberta",
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
   "transformers_version": "4.38.2",
   "type_vocab_size": 1,
+  "use_cache": false,
   "vocab_size": 50265
 }