AdnanRiaz107
/

SCoder-APPS

@@ -1,199 +1,84 @@
 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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 ---
+license: bigcode-openrail-m
+base_model: bigcode/santacoder
+tags:
+- generated_from_trainer
+model-index:
+- name: SCoder-APPS
+  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. -->
+# SCoder-APPS
+This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8114
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 5000
+### Training results
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.006         | 0.04  | 200  | 1.0234          |
+| 0.9936        | 0.08  | 400  | 0.9176          |
+| 0.9287        | 0.12  | 600  | 0.9170          |
+| 0.8434        | 0.16  | 800  | 0.8872          |
+| 0.8223        | 0.2   | 1000 | 0.8750          |
+| 0.8129        | 0.24  | 1200 | 0.8720          |
+| 0.8612        | 0.28  | 1400 | 0.8624          |
+| 0.777         | 0.32  | 1600 | 0.8426          |
+| 0.7444        | 0.36  | 1800 | 0.8453          |
+| 0.6214        | 0.4   | 2000 | 0.8428          |
+| 0.6856        | 0.44  | 2200 | 0.8365          |
+| 0.6463        | 0.48  | 2400 | 0.8379          |
+| 0.5872        | 0.52  | 2600 | 0.8226          |
+| 0.6271        | 0.56  | 2800 | 0.8132          |
+| 0.5772        | 0.6   | 3000 | 0.8237          |
+| 0.568         | 0.64  | 3200 | 0.8097          |
+| 0.5718        | 0.68  | 3400 | 0.8025          |
+| 0.5407        | 0.72  | 3600 | 0.8222          |
+| 0.4531        | 0.76  | 3800 | 0.8164          |
+| 0.5571        | 0.8   | 4000 | 0.8209          |
+| 0.4933        | 0.84  | 4200 | 0.8218          |
+| 0.4749        | 0.88  | 4400 | 0.8176          |
+| 0.4907        | 0.92  | 4600 | 0.8137          |
+| 0.5014        | 0.96  | 4800 | 0.8118          |
+| 0.4701        | 1.0   | 5000 | 0.8114          |
+### Framework versions
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json CHANGED Viewed

@@ -32,6 +32,6 @@
   "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.38.2",
-  "use_cache": true,
   "vocab_size": 49280
 }

   "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.38.2",
+  "use_cache": false,
   "vocab_size": 49280
 }

training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

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