sablo-pebble-mistral-dpo-lora-oasst2_dpo_pairs_en
This model is a fine-tuned version of sablo/sablo-pebble-mistral on the sablo/oasst2_dpo_pairs_en dataset. It achieves the following results on the evaluation set:
- Loss: 0.6714
- Rewards/chosen: 0.1838
- Rewards/rejected: 0.0314
- Rewards/accuracies: 0.6875
- Rewards/margins: 0.1524
- Logps/rejected: -267.5412
- Logps/chosen: -312.9823
- Logits/rejected: -2.2363
- Logits/chosen: -2.2654
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.1
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