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imp-v1-3b-mrope-video-feedback
This model is a fine-tuned version of iambestfeed/imp-v1-3b-mrope on the None 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
- 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: 1
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Model tree for iambestfeed/imp-v1-3b-mrope-video-feedback
Base model
iambestfeed/imp-v1-3b-mrope