update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: gpt2-cl-length-sampling
+  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. -->
+
+# gpt2-cl-length-sampling
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0276
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.4896        | 0.1   | 500  | 5.9335          |
+| 5.1803        | 0.2   | 1000 | 5.5576          |
+| 4.871         | 0.3   | 1500 | 5.3672          |
+| 4.6547        | 0.4   | 2000 | 5.2453          |
+| 4.5086        | 0.5   | 2500 | 5.1611          |
+| 4.3642        | 0.6   | 3000 | 5.0948          |
+| 4.2412        | 0.7   | 3500 | 5.0350          |
+| 4.1326        | 0.8   | 4000 | 4.9978          |
+| 4.0612        | 0.9   | 4500 | 4.9717          |
+| 4.0255        | 1.0   | 5000 | 4.9665          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.13.0
+- Tokenizers 0.13.3