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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: /ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_14B |
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model-index: |
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- name: qwen_14B_d2_iter3_model |
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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_14B_d2_iter3_model |
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This model is a fine-tuned version of [/ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_14B](https://huggingface.co//ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_14B) on the qwen_14B_d2_iter3_model dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5153 |
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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: 5e-05 |
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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: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 8 |
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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: 20 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4759 | 0.5917 | 100 | 0.5316 | |
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| 0.3967 | 1.1834 | 200 | 0.5153 | |
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| 0.3547 | 1.7751 | 300 | 0.5178 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
