mistral-sft-simpo-cleaned-re
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the argilla/ultrafeedback-binarized-preferences-cleaned dataset.
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: 3e-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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 4.43.2
- Pytorch 2.1.2.post303
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for JW17/mistral-sft-simpo-cleaned-re
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full