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--- |
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license: other |
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base_model: Qwen/Qwen1.5-1.8B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Qwen1.5_1.8B_amazon |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Qwen1.5_1.8B_amazon |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5073 |
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- Accuracy: 0.8524 |
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- F1 Macro: 0.8290 |
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- F1 Micro: 0.8524 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:| |
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| 1.5641 | 0.13 | 50 | 1.2905 | 0.6476 | 0.5589 | 0.6476 | |
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| 0.744 | 0.26 | 100 | 0.7994 | 0.7694 | 0.7166 | 0.7694 | |
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| 0.7245 | 0.39 | 150 | 0.6846 | 0.7997 | 0.7450 | 0.7997 | |
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| 0.6491 | 0.53 | 200 | 0.6406 | 0.8155 | 0.7679 | 0.8155 | |
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| 0.6193 | 0.66 | 250 | 0.5427 | 0.8399 | 0.7970 | 0.8399 | |
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| 0.4828 | 0.79 | 300 | 0.5453 | 0.8366 | 0.8114 | 0.8366 | |
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| 0.6122 | 0.92 | 350 | 0.5073 | 0.8524 | 0.8290 | 0.8524 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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