End of training
Browse files- README.md +11 -7
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None 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: 4
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- eval_batch_size: 8
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- seed: 42
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- total_eval_batch_size: 16
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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:
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### Training results
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| Training Loss | Epoch | Step
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| 0.
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### Framework versions
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This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8474
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- Accuracy: 0.5493
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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: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- total_eval_batch_size: 16
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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: 5
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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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| 0.5645 | 1.0 | 5310 | 0.7363 | 0.5588 |
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| 0.6449 | 2.0 | 10620 | 0.7377 | 0.5521 |
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| 0.6083 | 3.0 | 15930 | 0.7829 | 0.5561 |
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| 0.6265 | 4.0 | 21240 | 0.7739 | 0.5490 |
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| 0.4989 | 5.0 | 26550 | 0.8474 | 0.5493 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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