test_run
This model is a fine-tuned version of AIRI-Institute/gena-lm-bigbird-base-t2t on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2397
- F1: 0.8195
- Mcc Score: 0.5808
- Accuracy: 0.7933
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Mcc Score | Accuracy |
|---|---|---|---|---|---|---|
| 0.6329 | 1.0 | 94 | 0.5532 | 0.7711 | 0.4531 | 0.7335 |
| 0.4921 | 2.0 | 188 | 0.4789 | 0.8359 | 0.5501 | 0.7832 |
| 0.3981 | 3.0 | 282 | 0.4760 | 0.8347 | 0.5789 | 0.7987 |
| 0.3579 | 4.0 | 376 | 0.6767 | 0.7737 | 0.5377 | 0.7587 |
| 0.2488 | 5.0 | 470 | 0.5478 | 0.8327 | 0.5887 | 0.8015 |
| 0.1889 | 6.0 | 564 | 0.7844 | 0.8231 | 0.5846 | 0.7962 |
| 0.1569 | 7.0 | 658 | 0.8773 | 0.8254 | 0.5868 | 0.7978 |
| 0.1034 | 8.0 | 752 | 1.4445 | 0.7499 | 0.4939 | 0.7353 |
| 0.0832 | 9.0 | 846 | 1.6405 | 0.7195 | 0.4955 | 0.7205 |
| 0.1051 | 10.0 | 940 | 1.2397 | 0.8195 | 0.5808 | 0.7933 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
AIRI-Institute/gena-lm-bigbird-base-t2t