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--- |
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license: llama2 |
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base_model: togethercomputer/LLaMA-2-7B-32K |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: togetherchat-dev-7b |
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results: [] |
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--- |
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# togetherchat-dev-7b |
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This model is a fine-tuned version of [togethercomputer/LLaMA-2-7B-32K](https://huggingface.co/togethercomputer/LLaMA-2-7B-32K) using 5000 examples and 3 datasets: |
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platypus_dataset = load_dataset("garage-bAInd/Open-Platypus") |
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codealpaca_dataset = load_dataset("sahil2801/CodeAlpaca-20k") |
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evol_codealpaca_dataset = load_dataset("theblackcat102/evol-codealpaca-v1") |
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## Model description |
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Step Training Loss |
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--------------------- |
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60 1.293000 |
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120 0.673600 |
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180 0.633200 |
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240 0.611600 |
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300 0.633000 |
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360 0.589500 |
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480 0.587600 |
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540 0.569000 |
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600 0.548700 |
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660 0.553100 |
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720 0.531500 |
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780 0.506400 |
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840 0.512500 |
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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: 0.0002 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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