Arihant Tripathi
commited on
qwen_new_mage_per_domain_balanced_1.5
Browse files- README.md +14 -8
- evaluation_results.json +8 -0
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- training_args.bin +1 -1
README.md
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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.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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### Framework versions
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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: 0.0842
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- Accuracy: 0.9714
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## Model description
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.1807 | 0.0915 | 500 | 0.3355 | 0.8881 |
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| 0.1387 | 0.1831 | 1000 | 0.1860 | 0.9293 |
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| 0.1443 | 0.2746 | 1500 | 0.1421 | 0.9418 |
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| 0.1143 | 0.3662 | 2000 | 0.1273 | 0.9517 |
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| 0.1103 | 0.4577 | 2500 | 0.1393 | 0.9490 |
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| 0.1049 | 0.5492 | 3000 | 0.1159 | 0.9606 |
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| 0.0809 | 0.6408 | 3500 | 0.1267 | 0.9526 |
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| 0.0896 | 0.7323 | 4000 | 0.1104 | 0.9606 |
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| 0.0758 | 0.8239 | 4500 | 0.1341 | 0.9633 |
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| 0.0811 | 0.9154 | 5000 | 0.0842 | 0.9714 |
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### Framework versions
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evaluation_results.json
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{
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"eval_loss": 0.29367899894714355,
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"eval_accuracy": 0.8863025962399284,
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"eval_runtime": 35.1558,
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"eval_samples_per_second": 31.773,
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"eval_steps_per_second": 0.996,
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"epoch": 0.07323324789454412
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}
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model-00001-of-00002.safetensors
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model-00002-of-00002.safetensors
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training_args.bin
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