|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: Qwen/Qwen2-1.5B |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: fine_tuned_eli5_balanced |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# fine_tuned_eli5_balanced |
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0877 |
|
- Accuracy: 0.9782 |
|
|
|
## 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------:| |
|
| 0.4283 | 0.1064 | 100 | 0.2736 | 0.9031 | |
|
| 0.2571 | 0.2128 | 200 | 0.2150 | 0.9225 | |
|
| 0.1891 | 0.3191 | 300 | 0.1402 | 0.9408 | |
|
| 0.1541 | 0.4255 | 400 | 0.1498 | 0.9476 | |
|
| 0.1554 | 0.5319 | 500 | 0.1427 | 0.9434 | |
|
| 0.1291 | 0.6383 | 600 | 0.0966 | 0.9653 | |
|
| 0.1038 | 0.7447 | 700 | 0.0928 | 0.9656 | |
|
| 0.1007 | 0.8511 | 800 | 0.0870 | 0.9707 | |
|
| 0.1037 | 0.9574 | 900 | 0.0838 | 0.9725 | |
|
| 0.0563 | 1.0638 | 1000 | 0.1094 | 0.9749 | |
|
| 0.0319 | 1.1702 | 1100 | 0.1193 | 0.9746 | |
|
| 0.0541 | 1.2766 | 1200 | 0.0877 | 0.9782 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.49.0 |
|
- Pytorch 2.6.0+cu126 |
|
- Datasets 3.3.2 |
|
- Tokenizers 0.21.0 |
|
|
