metadata
library_name: transformers
license: apache-2.0
base_model: FelixYaw/results
tags:
- generated_from_trainer
model-index:
- name: results-qa
results: []
results-qa
This model is a fine-tuned version of FelixYaw/results on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4240
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8941 | 0.1528 | 200 | 0.9000 |
| 0.6193 | 0.3056 | 400 | 0.8039 |
| 0.5347 | 0.4584 | 600 | 0.7290 |
| 0.477 | 0.6112 | 800 | 0.6702 |
| 0.4504 | 0.7639 | 1000 | 0.6334 |
| 0.4339 | 0.9167 | 1200 | 0.5981 |
| 0.399 | 1.0695 | 1400 | 0.5559 |
| 0.3659 | 1.2223 | 1600 | 0.5267 |
| 0.3558 | 1.3751 | 1800 | 0.5054 |
| 0.3465 | 1.5279 | 2000 | 0.4930 |
| 0.3283 | 1.6807 | 2200 | 0.4821 |
| 0.324 | 1.8335 | 2400 | 0.4750 |
| 0.3169 | 1.9862 | 2600 | 0.4641 |
| 0.3063 | 2.1390 | 2800 | 0.4478 |
| 0.2927 | 2.2918 | 3000 | 0.4368 |
| 0.2893 | 2.4446 | 3200 | 0.4417 |
| 0.2875 | 2.5974 | 3400 | 0.4300 |
| 0.2862 | 2.7502 | 3600 | 0.4234 |
| 0.2776 | 2.9030 | 3800 | 0.4240 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0