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dpo-sum-10p-shuff-5e-8-full-from-sft-tiny – AI Model by martimfasantos | AlphaNeural AI

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martimfasantos/
dpo-sum-10p-shuff-5e-8-full-from-sft-tiny

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martimfasantos/TinyLlama-1.1B-Sum-SFT

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dpo-sum-10p-shuff-5e-8-full-from-sft-tiny

This model is a fine-tuned version of martimfasantos/sft-sum-chosen-10lp-shuff-full-tiny_same_params on the openai/summarize_from_feedback 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-08
train_batch_size: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1