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openhermes-2_5-dpo-no-robots – AI Model by openaccess-ai-collective | AlphaNeural AI

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openaccess-ai-collective/
openhermes-2_5-dpo-no-robots

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text-generation

generated_from_trainer

winglian/no_robots_rlhf

HuggingFaceH4/no_robots

teknium/OpenHermes-2.5-Mistral-7B

autotrain_compatible

text-generation-inference

endpoints_compatible

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openhermes-2_5-dpo-no-robots

This model is a RL fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on a preference dataset derived from HuggingFace's no robots dataset using DPO.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-07
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
training_steps: 408

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0