mapq
This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-500m-human-ref on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1144
- eval_runtime: 9.9706
- eval_samples_per_second: 100.295
- eval_steps_per_second: 6.319
- epoch: 1.0844
- step: 6100
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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