AdnanRiaz107
/

GPTL-APPS

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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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-## Model Details
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
+license: mit
+base_model: gpt2-large
+tags:
+- generated_from_trainer
+model-index:
+- name: GPTL-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. -->
+# GPTL-APPS
+This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7539
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0941        | 0.04  | 200  | 0.9988          |
+| 0.8014        | 0.08  | 400  | 0.9315          |
+| 0.8452        | 0.12  | 600  | 0.8909          |
+| 0.9507        | 0.16  | 800  | 0.8903          |
+| 0.6988        | 0.2   | 1000 | 0.8632          |
+| 0.6965        | 0.24  | 1200 | 0.8553          |
+| 0.7256        | 0.28  | 1400 | 0.8222          |
+| 0.7109        | 0.32  | 1600 | 0.8162          |
+| 0.6418        | 0.36  | 1800 | 0.8086          |
+| 0.649         | 0.4   | 2000 | 0.8051          |
+| 0.7378        | 0.44  | 2200 | 0.7974          |
+| 0.7202        | 0.48  | 2400 | 0.7933          |
+| 0.6896        | 0.52  | 2600 | 0.7817          |
+| 0.5561        | 0.56  | 2800 | 0.7945          |
+| 0.6497        | 0.6   | 3000 | 0.7774          |
+| 0.735         | 0.64  | 3200 | 0.7758          |
+| 0.5507        | 0.68  | 3400 | 0.7741          |
+| 0.5615        | 0.72  | 3600 | 0.7677          |
+| 0.6098        | 0.76  | 3800 | 0.7605          |
+| 0.6038        | 0.8   | 4000 | 0.7653          |
+| 0.5356        | 0.84  | 4200 | 0.7562          |
+| 0.5699        | 0.88  | 4400 | 0.7586          |
+| 0.6348        | 0.92  | 4600 | 0.7547          |
+| 0.6458        | 0.96  | 4800 | 0.7539          |
+| 0.6236        | 1.0   | 5000 | 0.7539          |
+### Framework versions
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai-community/gpt2-large",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -32,7 +32,8 @@
       "max_length": 50
     }
   },
   "transformers_version": "4.38.2",
-  "use_cache": true,
   "vocab_size": 50257
 }

 {
+  "_name_or_path": "gpt2-large",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
       "max_length": 50
     }
   },
+  "torch_dtype": "float32",
   "transformers_version": "4.38.2",
+  "use_cache": false,
   "vocab_size": 50257
 }