metadata
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llm2vec-Qwen2-0.5B-shopping-Quar-v2
results: []
llm2vec-Qwen2-0.5B-shopping-Quar-v2
This model is a fine-tuned version of Qwen/Qwen2-0.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1151
- Accuracy: 0.4539
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.4292 | 0.0510 | 1000 | 3.3647 | 0.4207 |
| 3.3217 | 0.1019 | 2000 | 3.2997 | 0.4283 |
| 3.274 | 0.1529 | 3000 | 3.2483 | 0.4345 |
| 3.2467 | 0.2038 | 4000 | 3.1933 | 0.4407 |
| 3.2093 | 0.2548 | 5000 | 3.1931 | 0.4439 |
| 3.1807 | 0.3057 | 6000 | 3.1661 | 0.4476 |
| 3.1978 | 0.3567 | 7000 | 3.1433 | 0.4486 |
| 3.161 | 0.4076 | 8000 | 3.1091 | 0.4539 |
| 3.1554 | 0.4586 | 9000 | 3.1044 | 0.4529 |
| 3.1405 | 0.5095 | 10000 | 3.1151 | 0.4539 |
Framework versions
- Transformers 4.43.4
- Pytorch 1.12.0+cu102
- Datasets 2.20.0
- Tokenizers 0.19.1