limbxy_seq_t2
This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_seq_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0135
- Rmse: 0.1165
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: 16
- eval_batch_size: 16
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rmse |
---|---|---|---|---|
0.0191 | 1.0 | 300 | 0.0182 | 0.1349 |
0.0146 | 2.0 | 600 | 0.0158 | 0.1259 |
0.0127 | 3.0 | 900 | 0.0135 | 0.1165 |
0.0105 | 4.0 | 1200 | 0.0146 | 0.1209 |
0.0088 | 5.0 | 1500 | 0.0150 | 0.1224 |
0.009 | 6.0 | 1800 | 0.0161 | 0.1271 |
0.0071 | 7.0 | 2100 | 0.0166 | 0.1288 |
0.0058 | 8.0 | 2400 | 0.0178 | 0.1336 |
0.0046 | 9.0 | 2700 | 0.0186 | 0.1364 |
0.0045 | 10.0 | 3000 | 0.0190 | 0.1381 |
0.0035 | 11.0 | 3300 | 0.0198 | 0.1408 |
0.0032 | 12.0 | 3600 | 0.0217 | 0.1475 |
0.0026 | 13.0 | 3900 | 0.0218 | 0.1477 |
0.0023 | 14.0 | 4200 | 0.0229 | 0.1514 |
0.0015 | 15.0 | 4500 | 0.0234 | 0.1529 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for c14kevincardenas/limbxy_seq_t2
Base model
c14kevincardenas/beit-large-patch16-384-limb