update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: gutenberg-no-merge-rarity-6p5k
+  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. -->
+
+# gutenberg-no-merge-rarity-6p5k
+
+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: 4.0791
+
+## 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: 128
+- eval_batch_size: 128
+- 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: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.2206        | 0.58  | 500  | 5.1052          |
+| 4.7954        | 1.16  | 1000 | 4.6615          |
+| 4.4101        | 1.74  | 1500 | 4.3895          |
+| 4.1133        | 2.33  | 2000 | 4.2397          |
+| 3.9572        | 2.91  | 2500 | 4.1257          |
+| 3.7283        | 3.49  | 3000 | 4.0785          |
+| 3.6356        | 4.07  | 3500 | 4.0313          |
+| 3.4289        | 4.65  | 4000 | 4.0056          |
+| 3.3393        | 5.23  | 4500 | 3.9986          |
+| 3.2334        | 5.81  | 5000 | 3.9949          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.13.0
+- Tokenizers 0.13.3