End of training

README.md

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+---
+license: mit
+base_model: gogamza/kobart-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Jeolla_model
+  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. -->
+
+# Jeolla_model
+
+This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0117
+- Bleu: 88.9408
+- Gen Len: 14.085
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.015         | 1.0   | 15477 | 0.0136          | 88.803  | 14.0811 |
+| 0.0111        | 2.0   | 30954 | 0.0122          | 88.8626 | 14.0804 |
+| 0.0094        | 3.0   | 46431 | 0.0117          | 88.9408 | 14.085  |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 1,
+  "decoder_start_token_id": 1,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "pad_token_id": 3,
+  "transformers_version": "4.42.0.dev0"
+}