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ppo_zephyr_vllm_rm_norm3 – AI Model by vwxyzjn | AlphaNeural AI | AlphaNeural AI

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vwxyzjn/
ppo_zephyr_vllm_rm_norm3

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text-generation

generated_from_trainer

HuggingFaceH4/mistral-7b-sft-beta

autotrain_compatible

text-generation-inference

endpoints_compatible

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ppo_zephyr_vllm_rm_norm3

This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on an unknown 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: 3e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 7
gradient_accumulation_steps: 32
total_train_batch_size: 224
total_eval_batch_size: 56
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1