uf-mistral-it-sft-iopo-iter1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nlee-208/uf-mistral-iopo-iter1 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 4.42.4
- Pytorch 2.1.2.post303
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for nlee-208/uf-mistral-it-sft-iopo-iter1
Base model
mistralai/Mistral-7B-Instruct-v0.2