Model save

README.md

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+---
+license: other
+base_model: facebook/opt-350m
+tags:
+- generated_from_trainer
+model-index:
+- name: ko-opt-350m
+  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. -->
+
+# ko-opt-350m
+
+This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3817
+
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.8648        | 0.1902 | 500  | 2.7538          |
+| 2.4309        | 0.3804 | 1000 | 2.5691          |
+| 1.9572        | 0.5706 | 1500 | 2.4733          |
+| 1.788         | 0.7608 | 2000 | 2.4221          |
+| 1.7197        | 0.9510 | 2500 | 2.3817          |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.2.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.42.4"
+}