qwen2.5-0.5b-summarizer
This model is a fine-tuned version of state-spaces/mamba-130m-hf 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.0.2
- Tokenizers 0.20.0
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Model tree for jonathanjordan21/qwen2.5-0.5b-summarizer
Base model
state-spaces/mamba-130m-hf