update model card README.md

README.md

@@ -0,0 +1,70 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: codeparrot-ids
+  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. -->
+
+# codeparrot-ids
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6494
+
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.26          | 0.09  | 500  | 3.0600          |
+| 2.58          | 0.18  | 1000 | 2.4991          |
+| 2.3247        | 0.28  | 1500 | 2.2607          |
+| 2.1442        | 0.37  | 2000 | 2.0888          |
+| 2.0134        | 0.46  | 2500 | 1.9589          |
+| 1.9115        | 0.55  | 3000 | 1.8542          |
+| 1.8193        | 0.65  | 3500 | 1.7703          |
+| 1.7542        | 0.74  | 4000 | 1.7063          |
+| 1.7138        | 0.83  | 4500 | 1.6675          |
+| 1.6928        | 0.92  | 5000 | 1.6494          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.2