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zephyr-7b-gemma-adaptive_quantile_loss – AI Model by chrlu | AlphaNeural AI
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chrlu
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zephyr-7b-gemma-adaptive_quantile_loss
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transformers
safetensors
gemma
text-generation
alignment-handbook
generated_from_trainer
conversational
argilla/dpo-mix-7k
HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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zephyr-7b-gemma-adaptive_quantile_loss
This model is a fine-tuned version of
HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
on the argilla/dpo-mix-7k 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: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Framework versions
Transformers 4.40.1
Pytorch 2.1.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
