End of training

README.md

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+---
+library_name: transformers
+base_model: minpeter/pretrained-tiny-ko
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- lemon-mint/Korean-FineTome-100k
+model-index:
+- name: ko-tiny-exp
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.10.0.dev0`
+```yaml
+base_model: minpeter/pretrained-tiny-ko
+
+chat_template: tokenizer_default_fallback_chatml
+datasets:
+  - path: lemon-mint/Korean-FineTome-100k
+    type: chat_template
+    split: train[:20%]
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+
+hub_model_id: minpeter/ko-tiny-exp
+output_dir: ./ouputs/ko-tiny-exp
+wandb_project: "axolotl"
+wandb_entity: "kasfiekfs-e"
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+gradient_accumulation_steps: 4
+micro_batch_size: 16
+
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+bf16: auto
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+resume_from_checkpoint:
+logging_steps: 1
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 2
+saves_per_epoch: 1
+weight_decay: 0.0
+
+```
+
+</details><br>
+
+# ko-tiny-exp
+
+This model is a fine-tuned version of [minpeter/pretrained-tiny-ko](https://huggingface.co/minpeter/pretrained-tiny-ko) on the lemon-mint/Korean-FineTome-100k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9471
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 176
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0538        | 0.0113 | 1    | 3.0136          |
+| 2.9454        | 0.4972 | 44   | 3.0099          |
+| 2.9657        | 0.9944 | 88   | 2.9874          |
+| 3.0426        | 1.4859 | 132  | 2.9506          |
+| 2.9403        | 1.9831 | 176  | 2.9471          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128256,
+  "do_sample": true,
+  "eos_token_id": 128257,
+  "transformers_version": "4.51.3",
+  "use_cache": false
+}