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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_w-asd_text-features |
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results: [] |
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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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# pretrain-asd_w-cot_w-asd_text-features |
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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: 0.2919 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.5331 | 0.1725 | 1000 | 0.3109 | |
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| 0.3076 | 0.3450 | 2000 | 0.3025 | |
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| 0.2963 | 0.5174 | 3000 | 0.3007 | |
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| 0.3008 | 0.6899 | 4000 | 0.2992 | |
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| 0.2969 | 0.8624 | 5000 | 0.2984 | |
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| 0.2956 | 1.0349 | 6000 | 0.2977 | |
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| 0.2943 | 1.2074 | 7000 | 0.3000 | |
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| 0.2973 | 1.3798 | 8000 | 0.2968 | |
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| 0.2927 | 1.5523 | 9000 | 0.2953 | |
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| 0.2949 | 1.7248 | 10000 | 0.2943 | |
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| 0.2915 | 1.8973 | 11000 | 0.2931 | |
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| 0.2897 | 2.0698 | 12000 | 0.2937 | |
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| 0.2885 | 2.2422 | 13000 | 0.2926 | |
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| 0.2945 | 2.4147 | 14000 | 0.2928 | |
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| 0.2907 | 2.5872 | 15000 | 0.2923 | |
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| 0.292 | 2.7597 | 16000 | 0.2922 | |
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| 0.2899 | 2.9322 | 17000 | 0.2919 | |
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### Framework versions |
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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 |
