metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-1.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_squad
results: []
fine_tuned_squad
This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2907
- Accuracy: 0.9318
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: 8
- eval_batch_size: 8
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8398 | 0.0249 | 100 | 0.3339 | 0.8798 |
| 0.4079 | 0.0497 | 200 | 0.2150 | 0.9217 |
| 0.4416 | 0.0746 | 300 | 1.1200 | 0.8473 |
| 0.3257 | 0.0994 | 400 | 0.1936 | 0.9413 |
| 0.3197 | 0.1243 | 500 | 0.2272 | 0.9488 |
| 0.2667 | 0.1491 | 600 | 0.2980 | 0.9295 |
| 0.2523 | 0.1740 | 700 | 0.2907 | 0.9318 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0