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--- |
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license: other |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: Qwen/Qwen1.5-4B-Chat |
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model-index: |
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- name: temps |
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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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# temps |
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This model is a fine-tuned version of [Qwen/Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2647 |
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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: 1 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4933 | 0.95 | 9 | 1.3903 | |
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| 1.1607 | 2.0 | 19 | 0.9786 | |
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| 0.9208 | 2.95 | 28 | 0.6901 | |
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| 0.5404 | 4.0 | 38 | 0.4664 | |
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| 0.3362 | 4.95 | 47 | 0.3509 | |
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| 0.1628 | 6.0 | 57 | 0.2848 | |
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| 0.117 | 6.95 | 66 | 0.2630 | |
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| 0.074 | 8.0 | 76 | 0.2563 | |
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| 0.0727 | 8.95 | 85 | 0.2402 | |
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| 0.0613 | 10.0 | 95 | 0.2536 | |
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| 0.0597 | 10.95 | 104 | 0.2642 | |
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| 0.0508 | 12.0 | 114 | 0.2567 | |
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| 0.0558 | 12.95 | 123 | 0.2476 | |
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| 0.0477 | 14.0 | 133 | 0.2648 | |
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| 0.0537 | 14.95 | 142 | 0.2691 | |
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| 0.0447 | 16.0 | 152 | 0.2629 | |
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| 0.0473 | 16.95 | 161 | 0.2812 | |
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| 0.0421 | 18.0 | 171 | 0.2566 | |
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| 0.0428 | 18.95 | 180 | 0.2647 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
