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Browse files- README.md +67 -0
- adapter_model.safetensors +1 -1
README.md
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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/Qwen2.5-1.5B-Instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: qwen_checkpoints
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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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# qwen_checkpoints
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This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0716
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- Mse: 0.0716
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- Mae: 0.2183
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- R Squared: 0.2014
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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: 0.0001
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 2
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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 | Mse | Mae | R Squared |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:---------:|
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| 0.0856 | 0.1558 | 100 | 0.0878 | 0.0878 | 0.2351 | 0.0207 |
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| 0.0843 | 0.3115 | 200 | 0.0803 | 0.0803 | 0.2314 | 0.1045 |
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| 0.0851 | 0.4673 | 300 | 0.0882 | 0.0882 | 0.2278 | 0.0168 |
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| 0.0676 | 0.6231 | 400 | 0.0716 | 0.0716 | 0.2183 | 0.2014 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.45.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 34886416
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version https://git-lfs.github.com/spec/v1
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oid sha256:1aafa5482ec5b2cd865da8892f7b9b92c04d27c161cc80b1468e86bea0f5b32b
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size 34886416
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