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Si-En_Mono-AG-openchat – AI Model by ArchSid | AlphaNeural AI
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ArchSid
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Si-En_Mono-AG-openchat
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peft
safetensors
llama-factory
lora
generated_from_trainer
openchat/openchat-3.5-0106
adapter
other
us
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si-en
This model is a fine-tuned version of
openchat/openchat-3.5-0106
on the sien_train_template3 dataset.
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
