| | --- |
| | library_name: peft |
| | license: bsd-3-clause |
| | base_model: hugohrban/progen2-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Progen2_Kinase_PhosphositeGen_dkz_traindata_250step |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Progen2_Kinase_PhosphositeGen_dkz_traindata_250step |
| | |
| | This model is a fine-tuned version of [hugohrban/progen2-base](https://huggingface.co/hugohrban/progen2-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0437 |
| | - Perplexity: 7.7194 |
| | |
| | ## 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: 0.0005 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine_with_restarts |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - training_steps: 250 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Perplexity | |
| | |:-------------:|:------:|:----:|:---------------:|:----------:| |
| | | 9.8555 | 0.2793 | 100 | 2.1451 | 8.5432 | |
| | | 8.5245 | 0.5587 | 200 | 2.0437 | 7.7194 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.13.2 |
| | - Transformers 4.47.1 |
| | - Pytorch 2.1.0.post301 |
| | - Datasets 3.0.2 |
| | - Tokenizers 0.21.0 |
