Mixtral-8x22b-Instruct-finetuned
This model is a fine-tuned version of mistralai/Mixtral-8x22B-Instruct-v0.1 on the generator 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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for Utshav/Mixtral-8x22b-Instruct-finetuned
Base model
mistralai/Mixtral-8x22B-v0.1
Finetuned
mistralai/Mixtral-8x22B-Instruct-v0.1
Adapter
this model