nash_simple_online_iter_1

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets. It achieves the following results on the evaluation set:

• Loss: 0.6779
• Rewards/chosen: 0.0306
• Rewards/rejected: -0.0021
• Rewards/accuracies: 0.6480
• Rewards/margins: 0.0327
• Logps/rejected: -257.7254
• Logps/chosen: -280.9805
• Logits/rejected: -2.6488
• Logits/chosen: -2.7230

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-06
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6844	0.64	100	0.6779	0.0306	-0.0021	0.6480	0.0327	-257.7254	-280.9805	-2.6488	-2.7230

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.3.0+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2