YAML Metadata
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The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Punica
Punica: Serving multiple LoRA finetuned LLMs at the cost of one
Paper: https://arxiv.org/abs/2310.18547
See https://github.com/punica-ai/punica/tree/master/examples/finetune
Model
- Base Model: Llama-2-7b-hf
- LoRA target:
q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj - LoRA rank: 16
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4.0
Framework versions
- Transformers 4.34.1
- Pytorch 2.2.0.dev20230911+cu121
- Datasets 2.14.4
- Tokenizers 0.14.1
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Model tree for abcdabcd987/sqlctx-llama2-7b-lora-16
Base model
meta-llama/Llama-2-7b-hf