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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 |