metadata
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_all_domains_1.5
results: []
fine_tuned_all_domains_1.5
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2369
- Accuracy: 0.9083
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: 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 |
---|---|---|---|---|
0.6318 | 0.0101 | 100 | 0.4632 | 0.8561 |
0.3263 | 0.0201 | 200 | 0.2369 | 0.9029 |
0.313 | 0.0302 | 300 | 0.3302 | 0.8813 |
0.2693 | 0.0403 | 400 | 0.2005 | 0.9083 |
0.2409 | 0.0503 | 500 | 0.2083 | 0.8993 |
0.229 | 0.0604 | 600 | 0.2315 | 0.9011 |
0.2413 | 0.0704 | 700 | 0.2369 | 0.9083 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0