metadata
tags:
- generated_from_trainer
model-index:
- name: ossp-v0_3
results: []
ossp-v0_3
This model is a fine-tuned version of leadawon/ossp-v0_2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3451
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3999 | 0.2 | 10000 | 0.4079 |
| 0.4441 | 0.39 | 20000 | 0.4555 |
| 0.4361 | 0.59 | 30000 | 0.4378 |
| 0.4302 | 0.79 | 40000 | 0.4255 |
| 0.4392 | 0.98 | 50000 | 0.4076 |
| 0.3714 | 1.18 | 60000 | 0.4006 |
| 0.3694 | 1.38 | 70000 | 0.3908 |
| 0.3591 | 1.57 | 80000 | 0.3810 |
| 0.3594 | 1.77 | 90000 | 0.3762 |
| 0.3567 | 1.97 | 100000 | 0.3667 |
| 0.3041 | 2.16 | 110000 | 0.3663 |
| 0.299 | 2.36 | 120000 | 0.3603 |
| 0.2972 | 2.56 | 130000 | 0.3569 |
| 0.2892 | 2.75 | 140000 | 0.3519 |
| 0.2844 | 2.95 | 150000 | 0.3463 |
| 0.2372 | 3.15 | 160000 | 0.3522 |
| 0.2367 | 3.34 | 170000 | 0.3508 |
| 0.2295 | 3.54 | 180000 | 0.3489 |
| 0.2281 | 3.74 | 190000 | 0.3468 |
| 0.2233 | 3.93 | 200000 | 0.3451 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3