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prot_t5_cluster_seq

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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prot_t5_cluster_seq / README.md
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metadata
library_name: transformers
base_model: Rostlab/prot_t5_xl_uniref50
tags:
  - generated_from_trainer
model-index:
  - name: prot_t5_cluster_seq
    results: []

prot_t5_cluster_seq

This model is a fine-tuned version of Rostlab/prot_t5_xl_uniref50 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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100
  • num_epochs: 51

Training results

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.7.0+cu126
  • Datasets 3.5.0
  • Tokenizers 0.21.1