update model card README.md

README.md

@@ -0,0 +1,66 @@
+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt_16_4_3e-5_lp5_nb5
+  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. -->
+
+# gpt_16_4_3e-5_lp5_nb5
+
+This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8872
+
+## 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: 3e-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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.311         | 0.38  | 1000  | 4.0339          |
+| 3.1133        | 0.76  | 2000  | 3.9777          |
+| 2.9875        | 1.13  | 3000  | 3.9546          |
+| 2.8697        | 1.51  | 4000  | 3.9269          |
+| 2.8669        | 1.89  | 5000  | 3.9159          |
+| 2.7308        | 2.27  | 6000  | 3.9066          |
+| 2.709         | 2.64  | 7000  | 3.8995          |
+| 2.6979        | 3.02  | 8000  | 3.8976          |
+| 2.5878        | 3.4   | 9000  | 3.8978          |
+| 2.5824        | 3.78  | 10000 | 3.8872          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.9.0+cu102
+- Datasets 2.8.0
+- Tokenizers 0.13.2