update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: fine-finetuned
+  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. -->
+
+# fine-finetuned
+
+This model is a fine-tuned version of [Stxlla/ko-en-following](https://huggingface.co/Stxlla/ko-en-following) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1211
+- eval_bleu: 61.2672
+- eval_gen_len: 11.3556
+- eval_runtime: 2042.0344
+- eval_samples_per_second: 16.208
+- eval_steps_per_second: 1.013
+- epoch: 2.0
+- step: 33098
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2