End of training

README.md

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+---
+license: mit
+base_model: yomilimi/Jeolla_encoder
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Je_gyeongsang_test
+  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. -->
+
+# Je_gyeongsang_test
+
+This model is a fine-tuned version of [yomilimi/Jeolla_encoder](https://huggingface.co/yomilimi/Jeolla_encoder) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0061
+- Bleu: 91.3211
+- Gen Len: 13.3556
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.008         | 1.0   | 12910 | 0.0073          | 91.096  | 13.3545 |
+| 0.0062        | 2.0   | 25820 | 0.0064          | 91.3089 | 13.3544 |
+| 0.0055        | 3.0   | 38730 | 0.0061          | 91.3211 | 13.3556 |
+
+
+### 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"
+}