Model save

README.md

@@ -3,17 +3,22 @@ license: apache-2.0
 base_model: EleutherAI/polyglot-ko-12.8b
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
-- name: gollm-12.8b-koalpaca-v1.1c-a100
+- name: gridone-ko-llm-12.8b-v1.1c
   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. -->
 
-# gollm-12.8b-koalpaca-v1.1c-a100
+# gridone-ko-llm-12.8b-v1.1c
 
-This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on KoAlpaca v1.1 dataset.
+This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2510
+- Accuracy: 0.5584
 
 ## Model description
 
@@ -40,10 +45,20 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8.0
+- num_epochs: 8
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8881        | 1.0   | 142  | 1.8030          | 0.5852   |
+| 1.0326        | 2.0   | 284  | 1.9793          | 0.5737   |
+| 0.2979        | 3.0   | 426  | 2.4751          | 0.5582   |
+| 0.0966        | 4.0   | 568  | 2.7332          | 0.5603   |
+| 0.0519        | 5.0   | 710  | 2.9102          | 0.5593   |
+| 0.0211        | 6.0   | 852  | 3.0963          | 0.5566   |
+| 0.0038        | 7.0   | 994  | 3.1967          | 0.5585   |
+| 0.0028        | 8.0   | 1136 | 3.2510          | 0.5584   |
 
 
 ### Framework versions

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