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mistral_gsm8k_dpo_0 – AI Model by weijie210 | AlphaNeural AI

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weijie210/
mistral_gsm8k_dpo_0

like

0

text-generation

generated_from_trainer

weijie210/mistral_gsm8k_sft

autotrain_compatible

text-generation-inference

endpoints_compatible

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mistral_gsm8k_dpo_0

This model is a fine-tuned version of weijie210/mistral_gsm8k_sft on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0108
Rewards/chosen: -1.6999
Rewards/rejected: -22.5187
Rewards/accuracies: 0.9957
Rewards/margins: 20.8188
Logps/rejected: -238.0359
Logps/chosen: -48.7549
Logits/rejected: -2.6146
Logits/chosen: -2.6687

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0