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In adapter_config.json: "peft.task_type" must be a string
docedit_finetuning_llava_next
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on an unknown 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.46.1
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.0
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Model tree for hwaseem04/docedit_finetuning_llava_next
Base model
llava-hf/llava-v1.6-mistral-7b-hf