SL-GMA2B-la1-6mix-fvis-dynamo
This model is a fine-tuned version of google/gemma-2b-it 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 256
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.2
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Model tree for luodian/SL-GMA2B-la1-6mix-fvis-dynamo
Base model
google/gemma-2b-it