koalpaca-polyglot-5.8b-summary-v0.2 – AI Model by boostcamp-5th-nlp07 | AlphaNeural AI

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boostcamp-5th-nlp07/
koalpaca-polyglot-5.8b-summary-v0.2

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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v0.2

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.2277
Accuracy: 0.4969

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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2287	0.5	22	2.4602	0.4882
2.0297	1.0	44	2.3277	0.4913
1.0888	1.5	66	2.4852	0.4976
0.894	2.0	88	2.5449	0.4961
0.2617	2.5	110	3.0394	0.4882
0.2666	3.0	132	3.0984	0.4984
0.1301	3.5	154	3.2467	0.4858
0.1429	4.0	176	3.1169	0.4913
0.092	4.5	198	3.2166	0.4961
0.035	5.0	220	3.2277	0.4969

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3