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ko-opt-350m – AI Model by thisisHJLee | AlphaNeural AI
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ko-opt-350m
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transformers
safetensors
opt
text-generation
generated_from_trainer
facebook/opt-350m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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ko-opt-350m
This model is a fine-tuned version of
facebook/opt-350m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3817
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: 0.0005
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
3.8648
0.1902
500
2.7538
2.4309
0.3804
1000
2.5691
1.9572
0.5706
1500
2.4733
1.788
0.7608
2000
2.4221
1.7197
0.9510
2500
2.3817
Framework versions
Transformers 4.42.4
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1