argilla/zephyr-7b-spin-iter2-v0

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zephyr-7b-spin-iter2-v0

This model is a fine-tuned version of argilla/zephyr-7b-spin-iter1-v0 on the argilla/10k_prompts_SPIN_iter2_zephyr_top and the argilla/10k_prompts_SPIN_iter1_zephyr_top dataset.

It achieves the following results on the evaluation set:

• —Loss: 0.1253
• —Rewards/real: -0.5683
• —Rewards/generated: -4.9538
• —Rewards/accuracies: 0.9479
• —Rewards/margins: 4.3854
• —Logps/generated: -739.3701
• —Logps/real: -278.2851
• —Logits/generated: -2.8430
• —Logits/real: -2.8375

MT-Bench results

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: 1e-07
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.37.0
• —Pytorch 2.1.2+cu121
• —Datasets 2.14.6
• —Tokenizers 0.15.2