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llama_2_ko_7b_wiki_QA – AI Model by 54data | AlphaNeural AI
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llama_2_ko_7b_wiki_QA
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beomi/llama-2-ko-7b
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llama_2_ko_7b_wiki_QA
This model is a fine-tuned version of
beomi/llama-2-ko-7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1703
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 300
Training results
Training Loss
Epoch
Step
Validation Loss
1.8568
0.33
50
1.4294
1.2307
0.67
100
1.2169
1.1788
1.0
150
1.1865
1.0837
1.33
200
1.1810
1.1905
1.67
250
1.1740
1.161
2.0
300
1.1703
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.3
