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---
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Qwen1.5_1.8B_amazon
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. -->
# Qwen1.5_1.8B_amazon
This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5073
- Accuracy: 0.8524
- F1 Macro: 0.8290
- F1 Micro: 0.8524
## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
| 1.5641 | 0.13 | 50 | 1.2905 | 0.6476 | 0.5589 | 0.6476 |
| 0.744 | 0.26 | 100 | 0.7994 | 0.7694 | 0.7166 | 0.7694 |
| 0.7245 | 0.39 | 150 | 0.6846 | 0.7997 | 0.7450 | 0.7997 |
| 0.6491 | 0.53 | 200 | 0.6406 | 0.8155 | 0.7679 | 0.8155 |
| 0.6193 | 0.66 | 250 | 0.5427 | 0.8399 | 0.7970 | 0.8399 |
| 0.4828 | 0.79 | 300 | 0.5453 | 0.8366 | 0.8114 | 0.8366 |
| 0.6122 | 0.92 | 350 | 0.5073 | 0.8524 | 0.8290 | 0.8524 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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