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--- |
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license: llama3 |
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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: gradientai/Llama-3-8B-Instruct-262k |
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metrics: |
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- accuracy |
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model-index: |
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- name: th_cl_10epochs_lora_pos_neg |
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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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# th_cl_10epochs_lora_pos_neg |
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This model is a fine-tuned version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0460 |
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- Balanced Accuracy: 0.4911 |
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- Accuracy: 0.4889 |
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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: 8 |
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- eval_batch_size: 8 |
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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: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:| |
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| 0.9267 | 1.0 | 32 | 1.0787 | 0.4911 | 0.4889 | |
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| 0.583 | 2.0 | 64 | 1.0356 | 0.47 | 0.4667 | |
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| 0.302 | 3.0 | 96 | 1.0089 | 0.5061 | 0.5111 | |
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| 0.1245 | 4.0 | 128 | 1.0418 | 0.4643 | 0.4667 | |
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| 0.1163 | 5.0 | 160 | 1.0460 | 0.4911 | 0.4889 | |
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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 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
