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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-7B-Instruct-1M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: usgpt-ft |
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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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# usgpt-ft |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 11.9321 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 11.8582 | 1.0 | 4 | 11.9321 | |
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| 11.857 | 2.0 | 8 | 11.9321 | |
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| 11.8625 | 3.0 | 12 | 11.9321 | |
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| 11.8615 | 4.0 | 16 | 11.9321 | |
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| 11.8576 | 5.0 | 20 | 11.9321 | |
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| 11.8603 | 6.0 | 24 | 11.9321 | |
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| 11.8671 | 7.0 | 28 | 11.9321 | |
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| 11.8587 | 8.0 | 32 | 11.9321 | |
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| 11.8577 | 9.0 | 36 | 11.9321 | |
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| 11.8578 | 10.0 | 40 | 11.9321 | |
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| 11.866 | 11.0 | 44 | 11.9321 | |
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| 11.8586 | 12.0 | 48 | 11.9321 | |
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| 11.8643 | 13.0 | 52 | 11.9321 | |
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| 11.8563 | 14.0 | 56 | 11.9321 | |
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| 11.8659 | 15.0 | 60 | 11.9321 | |
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| 11.8603 | 16.0 | 64 | 11.9321 | |
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| 11.8641 | 17.0 | 68 | 11.9321 | |
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| 11.8656 | 18.0 | 72 | 11.9321 | |
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| 11.8591 | 19.0 | 76 | 11.9321 | |
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| 11.8576 | 20.0 | 80 | 11.9321 | |
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| 11.8685 | 21.0 | 84 | 11.9321 | |
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| 11.8668 | 22.0 | 88 | 11.9321 | |
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| 11.8662 | 23.0 | 92 | 11.9321 | |
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| 11.8658 | 24.0 | 96 | 11.9321 | |
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| 11.869 | 25.0 | 100 | 11.9321 | |
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| 11.8656 | 26.0 | 104 | 11.9321 | |
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| 11.8581 | 27.0 | 108 | 11.9321 | |
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| 11.8575 | 28.0 | 112 | 11.9321 | |
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| 11.8587 | 29.0 | 116 | 11.9321 | |
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| 11.8571 | 30.0 | 120 | 11.9321 | |
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| 11.8612 | 31.0 | 124 | 11.9321 | |
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| 11.8662 | 32.0 | 128 | 11.9321 | |
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| 11.8636 | 33.0 | 132 | 11.9321 | |
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| 11.8593 | 34.0 | 136 | 11.9321 | |
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| 11.8571 | 35.0 | 140 | 11.9321 | |
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| 11.8644 | 36.0 | 144 | 11.9321 | |
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| 11.8594 | 37.0 | 148 | 11.9321 | |
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| 11.8645 | 37.6154 | 150 | 11.9321 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
