Commit
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End of training
Browse files- README.md +71 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: mit
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: microsoft/phi-1_5
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model-index:
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- name: phi-1_5-finetuned-qlora-cluster-gsm8k
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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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# phi-1_5-finetuned-qlora-cluster-gsm8k
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1536
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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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- num_epochs: 10
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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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| 1.0717 | 1.0 | 233 | 1.1424 |
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| 0.9785 | 2.0 | 467 | 1.1173 |
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| 0.9489 | 3.0 | 701 | 1.1147 |
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| 0.9226 | 4.0 | 935 | 1.1216 |
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| 0.8962 | 5.0 | 1168 | 1.1204 |
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| 0.8611 | 6.0 | 1402 | 1.1294 |
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| 0.8424 | 7.0 | 1636 | 1.1372 |
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| 0.8275 | 8.0 | 1870 | 1.1493 |
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| 0.8187 | 9.0 | 2103 | 1.1526 |
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| 0.8183 | 9.97 | 2330 | 1.1536 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.37.2
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.15.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 18893616
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version https://git-lfs.github.com/spec/v1
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size 18893616
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