gliner-bi-small-v1.0_2025-02-11_13-01-38
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 39.4311
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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 31.572 | 0.1650 | 100 | 122.2061 |
| 20.4799 | 0.3300 | 200 | 158.5707 |
| 36.2449 | 0.4950 | 300 | 118.9915 |
| 19.9128 | 0.6601 | 400 | 98.7558 |
| 16.3263 | 0.8251 | 500 | 126.5938 |
| 15.1254 | 0.9901 | 600 | 124.2355 |
| 13.388 | 1.1551 | 700 | 111.7542 |
| 12.3434 | 1.3201 | 800 | 101.8177 |
| 12.3511 | 1.4851 | 900 | 74.6518 |
| 11.1384 | 1.6502 | 1000 | 70.6329 |
| 11.9784 | 1.8152 | 1100 | 72.1667 |
| 10.6829 | 1.9802 | 1200 | 68.7952 |
| 7.8355 | 2.1452 | 1300 | 72.6674 |
| 8.1642 | 2.3102 | 1400 | 60.0159 |
| 7.5026 | 2.4752 | 1500 | 66.2888 |
| 7.6514 | 2.6403 | 1600 | 86.6573 |
| 8.2808 | 2.8053 | 1700 | 57.6119 |
| 6.7184 | 2.9703 | 1800 | 56.0169 |
| 5.4226 | 3.1353 | 1900 | 44.2044 |
| 5.4276 | 3.3003 | 2000 | 54.2251 |
| 4.9535 | 3.4653 | 2100 | 42.1324 |
| 4.6889 | 3.6304 | 2200 | 43.5530 |
| 3.8583 | 3.7954 | 2300 | 38.7769 |
| 3.8563 | 3.9604 | 2400 | 39.4311 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Inference Providers
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