update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: codeparrot-ds-sample-gpt-small-10epoch
+  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-ds-sample-gpt-small-10epoch
+
+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: 2.0943
+
+## 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
+- 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: 1000
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.29          | 0.94  | 1000  | 2.8452          |
+| 2.3155        | 1.88  | 2000  | 2.3659          |
+| 1.8817        | 2.82  | 3000  | 2.2085          |
+| 1.6245        | 3.77  | 4000  | 2.1260          |
+| 1.4314        | 4.71  | 5000  | 2.0705          |
+| 1.2698        | 5.65  | 6000  | 2.0603          |
+| 1.1281        | 6.59  | 7000  | 2.0599          |
+| 1.0108        | 7.53  | 8000  | 2.0769          |
+| 0.9167        | 8.47  | 9000  | 2.0870          |
+| 0.8551        | 9.42  | 10000 | 2.0943          |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6