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DPO-Baseline-zephyr-7b-sft-full – AI Model by TTTXXX01 | AlphaNeural AI
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DPO-Baseline-zephyr-7b-sft-full
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transformers
safetensors
mistral
text-generation
alignment-handbook
trl
dpo
generated_from_trainer
conversational
HuggingFaceH4/ultrafeedback_binarized
alignment-handbook/zephyr-7b-sft-full
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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DPO-Baseline-zephyr-7b-sft-full
This model is a fine-tuned version of
alignment-handbook/zephyr-7b-sft-full
on the HuggingFaceH4/ultrafeedback_binarized 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-07
train_batch_size: 6
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 48
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
