pretrain_wo-cot_w-asd
This model is a fine-tuned version of EleutherAI/polyglot-ko-1.3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.5465
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
11.1865 | 0.1290 | 1 | 11.1164 |
11.1109 | 0.2581 | 2 | 11.0354 |
11.0508 | 0.3871 | 3 | 10.9345 |
10.9774 | 0.5161 | 4 | 10.8247 |
10.8372 | 0.6452 | 5 | 10.7115 |
10.742 | 0.7742 | 6 | 10.5983 |
10.6067 | 0.9032 | 7 | 10.4797 |
10.5182 | 1.0323 | 8 | 10.3694 |
10.3704 | 1.1613 | 9 | 10.2614 |
10.2903 | 1.2903 | 10 | 10.1587 |
10.1627 | 1.4194 | 11 | 10.0626 |
10.1078 | 1.5484 | 12 | 9.9744 |
10.0265 | 1.6774 | 13 | 9.8932 |
9.9159 | 1.8065 | 14 | 9.8200 |
9.8432 | 1.9355 | 15 | 9.7532 |
9.7643 | 2.0645 | 16 | 9.6953 |
9.7308 | 2.1935 | 17 | 9.6462 |
9.6923 | 2.3226 | 18 | 9.6069 |
9.6348 | 2.4516 | 19 | 9.5776 |
9.5869 | 2.5806 | 20 | 9.5566 |
9.6044 | 2.7097 | 21 | 9.5465 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for slplab/pretrain_wo-cot_w-asd
Base model
EleutherAI/polyglot-ko-1.3b