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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-v2 |
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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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# togetherchat-dev-7b-v2 |
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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) on 25000 entries for 3 epochs. |
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## Model description |
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Model can be used for text-to-code generation and for further fine-tuning, |
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Colab notebook example (on free T4 GPU) soon! |
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## Datasets used: |
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- evol-codealpaca-80k - 10000 entries |
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- codealpaca-20k - 10000 entries |
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- open-platypus - 5000 entries |
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## Intended uses & limitations |
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Please remember that model may (and will) produce inaccurate informations, |
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you need to fine-tune it for your specific task. |
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## Training and evaluation data |
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See 'Metrics' |
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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: 10 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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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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- 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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