Created
April 4, 2023 21:37
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Conda environment to train a Seq2Seq model using LORA and Deepspeed
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| name: lora_training | |
| channels: | |
| - pytorch | |
| - conda-forge | |
| dependencies: | |
| - cudatoolkit-dev=11.3.1 | |
| - numpy=1.24.2 | |
| - pip=23.0.1 | |
| - python=3.8.16 | |
| - pip: | |
| - accelerate==0.17.1 | |
| - datasets==2.9.0 | |
| - deepspeed==0.8.2 | |
| - evaluate==0.4.0 | |
| - filelock==3.10.0 | |
| - huggingface-hub==0.13.2 | |
| - ninja==1.11.1 | |
| - nltk==3.8.1 | |
| - nvidia-cublas-cu11==11.10.3.66 | |
| - nvidia-cuda-cupti-cu11==11.7.101 | |
| - nvidia-cuda-nvrtc-cu11==11.7.99 | |
| - nvidia-cuda-runtime-cu11==11.7.99 | |
| - nvidia-cudnn-cu11==8.5.0.96 | |
| - nvidia-cufft-cu11==10.9.0.58 | |
| - nvidia-curand-cu11==10.2.10.91 | |
| - nvidia-cusolver-cu11==11.4.0.1 | |
| - nvidia-cusparse-cu11==11.7.4.91 | |
| - nvidia-nccl-cu11==2.14.3 | |
| - nvidia-nvtx-cu11==11.7.91 | |
| - pandas==1.5.3 | |
| - peft==0.2.0 | |
| - rouge-score==0.1.2 | |
| - sympy==1.11.1 | |
| - tokenizers==0.13.2 | |
| - torch==2.0.0 | |
| - tqdm==4.65.0 | |
| - transformers==4.27.1 | |
| - triton==2.0.0 | |
| - urllib3==1.26.15 | |
| - protobuf==3.20.1 |
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