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README.md
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---
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license:
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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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- llama-factory
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- lora
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- generated_from_trainer
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base_model: Qwen/Qwen1.5-7B-Chat
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model-index:
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- name: '06051615'
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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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# 06051615
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This model is a fine-tuned version of [/datas/huggingface/Qwen1.5-7B-Chat/](https://huggingface.co//datas/huggingface/Qwen1.5-7B-Chat/) on the alpaca_formatted_ift_eft_dft_rft_share5k_2048 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9018
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- total_eval_batch_size: 2
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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_steps: 700
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7655 | 0.4793 | 700 | 0.9256 |
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| 0.8703 | 0.9586 | 1400 | 0.9017 |
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| 0.725 | 1.4379 | 2100 | 0.9006 |
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| 0.7958 | 1.9172 | 2800 | 0.8908 |
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| 0.7346 | 2.3964 | 3500 | 0.8911 |
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| 0.6516 | 2.8757 | 4200 | 0.8911 |
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| 1.0524 | 3.3550 | 4900 | 0.9006 |
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| 1.1005 | 3.8343 | 5600 | 0.8945 |
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| 0.7991 | 4.3136 | 6300 | 0.9009 |
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| 0.7668 | 4.7929 | 7000 | 0.9016 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.19.1
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