virus-pythia-302M-2048-cross_entropy
This model is a fine-tuned version of EleutherAI/pythia-410m 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
Training results
Framework versions
- Transformers 4.42.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for DNA-LLM/virus-pythia-302M-2048-cross_entropy
Base model
EleutherAI/pythia-410m