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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ base_model: meta-llama/Meta-Llama-3-8B
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+ model-index:
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+ - name: Llama3_AAID_mixed_train_final
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+ results: []
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+ ---
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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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+
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+ # Llama3_AAID_mixed_train_final
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8542
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.0078 | 0.0109 | 10 | 0.9146 |
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+ | 0.5077 | 0.0219 | 20 | 0.8363 |
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+ | 0.4613 | 0.0328 | 30 | 0.8338 |
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+ | 0.4794 | 0.0438 | 40 | 0.8337 |
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+ | 0.4624 | 0.0547 | 50 | 0.8181 |
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+ | 0.4366 | 0.0656 | 60 | 0.8187 |
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+ | 0.4323 | 0.0766 | 70 | 0.8172 |
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+ | 0.433 | 0.0875 | 80 | 0.8255 |
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+ | 0.4401 | 0.0984 | 90 | 0.8300 |
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+ | 0.4019 | 0.1094 | 100 | 0.8479 |
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+ | 0.4112 | 0.1203 | 110 | 0.8113 |
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+ | 0.4009 | 0.1313 | 120 | 0.8454 |
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+ | 0.4023 | 0.1422 | 130 | 0.8435 |
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+ | 0.3924 | 0.1531 | 140 | 0.8308 |
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+ | 0.4079 | 0.1641 | 150 | 0.8372 |
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+ | 0.3898 | 0.1750 | 160 | 0.8542 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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