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README.md ADDED
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+ ---
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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: slplab/polyglot-ko-1.3b-pretrained-asd
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+ model-index:
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+ - name: pretrain-asd_w-cot_wo-asd_text-features
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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-asd_w-cot_wo-asd_text-features
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2917
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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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+ | 0.526 | 0.1727 | 1000 | 0.3186 |
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+ | 0.3076 | 0.3454 | 2000 | 0.3046 |
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+ | 0.3016 | 0.5181 | 3000 | 0.3004 |
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+ | 0.2988 | 0.6908 | 4000 | 0.3006 |
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+ | 0.2964 | 0.8636 | 5000 | 0.2990 |
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+ | 0.2994 | 1.0363 | 6000 | 0.2966 |
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+ | 0.297 | 1.2090 | 7000 | 0.2961 |
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+ | 0.2956 | 1.3817 | 8000 | 0.2953 |
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+ | 0.2919 | 1.5544 | 9000 | 0.2947 |
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+ | 0.2909 | 1.7271 | 10000 | 0.2939 |
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+ | 0.2896 | 1.8998 | 11000 | 0.2939 |
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+ | 0.2958 | 2.0725 | 12000 | 0.2928 |
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+ | 0.2892 | 2.2453 | 13000 | 0.2934 |
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+ | 0.2901 | 2.4180 | 14000 | 0.2926 |
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+ | 0.2899 | 2.5907 | 15000 | 0.2922 |
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+ | 0.2906 | 2.7634 | 16000 | 0.2918 |
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+ | 0.2902 | 2.9361 | 17000 | 0.2917 |
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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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