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pretrain_wo-cot_w-asd

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  1. README.md +82 -0
  2. adapter_model.safetensors +1 -1
  3. runs/Jul30_21-22-12_oem-WS-C621E-SAGE-Series/events.out.tfevents.1722342135.oem-WS-C621E-SAGE-Series.2700778.0 +2 -2
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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_wo-cot_w-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_wo-cot_w-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: 9.5465
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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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+ | 11.1865 | 0.1290 | 1 | 11.1164 |
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+ | 11.1109 | 0.2581 | 2 | 11.0354 |
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+ | 11.0508 | 0.3871 | 3 | 10.9345 |
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+ | 10.9774 | 0.5161 | 4 | 10.8247 |
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+ | 10.8372 | 0.6452 | 5 | 10.7115 |
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+ | 10.742 | 0.7742 | 6 | 10.5983 |
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+ | 10.6067 | 0.9032 | 7 | 10.4797 |
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+ | 10.5182 | 1.0323 | 8 | 10.3694 |
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+ | 10.3704 | 1.1613 | 9 | 10.2614 |
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+ | 10.2903 | 1.2903 | 10 | 10.1587 |
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+ | 10.1627 | 1.4194 | 11 | 10.0626 |
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+ | 10.1078 | 1.5484 | 12 | 9.9744 |
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+ | 10.0265 | 1.6774 | 13 | 9.8932 |
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+ | 9.9159 | 1.8065 | 14 | 9.8200 |
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+ | 9.8432 | 1.9355 | 15 | 9.7532 |
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+ | 9.7643 | 2.0645 | 16 | 9.6953 |
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+ | 9.7308 | 2.1935 | 17 | 9.6462 |
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+ | 9.6923 | 2.3226 | 18 | 9.6069 |
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+ | 9.6348 | 2.4516 | 19 | 9.5776 |
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+ | 9.5869 | 2.5806 | 20 | 9.5566 |
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+ | 9.6044 | 2.7097 | 21 | 9.5465 |
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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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