metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spymac_FOREcasT
results: []
SX_spymac_FOREcasT
This model is a fine-tuned version of on the crispr_data dataset. It achieves the following results on the evaluation set:
- Loss: 35.6392
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: 0.001
- train_batch_size: 100
- eval_batch_size: 100
- seed: 63036
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5311.6051 | 1.0 | 327 | 4340.6602 |
| 2980.4667 | 2.0 | 654 | 1883.8451 |
| 1312.2241 | 3.0 | 981 | 878.0609 |
| 616.8953 | 4.0 | 1308 | 412.7102 |
| 289.3571 | 5.0 | 1635 | 196.8413 |
| 142.727 | 6.0 | 1962 | 103.9544 |
| 80.499 | 7.0 | 2289 | 64.8617 |
| 54.4604 | 8.0 | 2616 | 48.6726 |
| 43.3439 | 9.0 | 2943 | 41.4865 |
| 38.4873 | 10.0 | 3270 | 38.4845 |
| 36.2797 | 11.0 | 3597 | 37.1310 |
| 35.2948 | 12.0 | 3924 | 36.3968 |
| 34.8241 | 13.0 | 4251 | 36.1038 |
| 34.6104 | 14.0 | 4578 | 35.9149 |
| 34.5055 | 15.0 | 4905 | 35.8438 |
| 34.4508 | 16.0 | 5232 | 35.7904 |
| 34.4032 | 17.0 | 5559 | 35.7617 |
| 34.3773 | 18.0 | 5886 | 35.8614 |
| 34.3794 | 19.0 | 6213 | 35.7839 |
| 34.3675 | 20.0 | 6540 | 35.7271 |
| 34.351 | 21.0 | 6867 | 35.7075 |
| 34.3603 | 22.0 | 7194 | 35.6449 |
| 34.3472 | 23.0 | 7521 | 35.6552 |
| 34.3254 | 24.0 | 7848 | 35.6328 |
| 34.3245 | 25.0 | 8175 | 35.7084 |
| 34.3145 | 26.0 | 8502 | 35.6494 |
| 34.3083 | 27.0 | 8829 | 35.6973 |
| 34.297 | 28.0 | 9156 | 35.6497 |
| 34.2859 | 29.0 | 9483 | 35.6311 |
| 34.2783 | 30.0 | 9810 | 35.6392 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1