rlced-conifer-zephyr-7b-dpo-full
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the data/rlced_conifer dataset. It achieves the following results on the evaluation set:
- Loss: 0.1691
- Rewards/chosen: -2.9092
- Rewards/rejected: -8.6906
- Rewards/accuracies: 0.9240
- Rewards/margins: 5.7814
- Logps/rejected: -1311.8641
- Logps/chosen: -712.8596
- Logits/rejected: 0.8491
- Logits/chosen: -0.7188
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- 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
Framework versions
- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for NicholasCorrado/rlced-conifer-zephyr-7b-dpo-full
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full