pretrain_w-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: 0.2650

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
0.6959	0.1725	1000	0.2915
0.2871	0.3450	2000	0.2810
0.2737	0.5174	3000	0.2769
0.2759	0.6899	4000	0.2737
0.2708	0.8624	5000	0.2717
0.2695	1.0349	6000	0.2716
0.2673	1.2074	7000	0.2713
0.2697	1.3798	8000	0.2694
0.2658	1.5523	9000	0.2682
0.2674	1.7248	10000	0.2673
0.2641	1.8973	11000	0.2664
0.2626	2.0698	12000	0.2666
0.2612	2.2422	13000	0.2662
0.266	2.4147	14000	0.2655
0.2626	2.5872	15000	0.2654
0.2637	2.7597	16000	0.2652
0.2623	2.9322	17000	0.2650

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1