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README.md
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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/Llama-2-7b-hf
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model-index:
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- name: Llama2_AAID_new_mixed_train_final_2
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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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# Llama2_AAID_new_mixed_train_final_2
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5433
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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: 0.0003
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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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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.5222 | 0.0438 | 40 | 0.5364 |
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| 0.3981 | 0.0875 | 80 | 0.5547 |
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| 0.3297 | 0.1313 | 120 | 0.5276 |
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| 0.3131 | 0.1750 | 160 | 0.5312 |
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| 0.3049 | 0.2188 | 200 | 0.5147 |
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| 0.2906 | 0.2625 | 240 | 0.5208 |
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| 0.2862 | 0.3063 | 280 | 0.5313 |
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| 0.2799 | 0.3500 | 320 | 0.5454 |
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| 0.2748 | 0.3938 | 360 | 0.5483 |
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| 0.2613 | 0.4375 | 400 | 0.5433 |
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### Framework versions
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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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adapter_model.safetensors
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size 80013120
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version https://git-lfs.github.com/spec/v1
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