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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: EleutherAI/polyglot-ko-1.3b
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+ model-index:
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+ - name: pretrain_w-cot_wo-asd
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # pretrain_w-cot_wo-asd
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+
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+ This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2648
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.6934 | 0.1727 | 1000 | 0.2945 |
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+ | 0.2864 | 0.3454 | 2000 | 0.2812 |
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+ | 0.2787 | 0.5181 | 3000 | 0.2762 |
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+ | 0.2739 | 0.6908 | 4000 | 0.2747 |
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+ | 0.2709 | 0.8636 | 5000 | 0.2722 |
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+ | 0.2727 | 1.0363 | 6000 | 0.2704 |
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+ | 0.2694 | 1.2090 | 7000 | 0.2703 |
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+ | 0.2684 | 1.3817 | 8000 | 0.2683 |
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+ | 0.2652 | 1.5544 | 9000 | 0.2678 |
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+ | 0.2641 | 1.7271 | 10000 | 0.2674 |
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+ | 0.2624 | 1.8998 | 11000 | 0.2670 |
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+ | 0.268 | 2.0725 | 12000 | 0.2661 |
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+ | 0.2614 | 2.2453 | 13000 | 0.2661 |
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+ | 0.2622 | 2.4180 | 14000 | 0.2656 |
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+ | 0.2621 | 2.5907 | 15000 | 0.2653 |
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+ | 0.263 | 2.7634 | 16000 | 0.2649 |
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+ | 0.2625 | 2.9361 | 17000 | 0.2648 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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