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--- |
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library_name: peft |
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base_model: Anwaarma/edos_taskB_llama3b_merged2_FINAL |
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tags: |
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- base_model:adapter:Anwaarma/edos_taskB_llama3b_merged2_FINAL |
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- lora |
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- transformers |
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metrics: |
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- accuracy |
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model-index: |
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- name: new2 |
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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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# new2 |
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This model is a fine-tuned version of [Anwaarma/edos_taskB_llama3b_merged2_FINAL](https://huggingface.co/Anwaarma/edos_taskB_llama3b_merged2_FINAL) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5177 |
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- Accuracy: 0.5546 |
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- F1 Macro: 0.5101 |
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- F1 Micro: 0.5546 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 40 |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:--------:| |
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| 1.3186 | 1.8598 | 100 | 1.4746 | 0.5802 | 0.5325 | 0.5802 | |
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| 1.1161 | 3.7103 | 200 | 1.4088 | 0.5947 | 0.5390 | 0.5947 | |
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| 0.9134 | 5.5607 | 300 | 1.4204 | 0.5638 | 0.4999 | 0.5638 | |
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| 0.7884 | 7.4112 | 400 | 1.3747 | 0.5638 | 0.5132 | 0.5638 | |
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| 0.7428 | 9.2617 | 500 | 1.3314 | 0.5638 | 0.5076 | 0.5638 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.56.2 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.1.1 |
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- Tokenizers 0.22.0 |
