YAML Metadata Warning: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, image-text-to-image, image-text-to-video, 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

OpenSearch DSL Generator (google/flan-t5-base + LoRA)

This repository contains fine-tuned LoRA adapter checkpoints for google/flan-t5-base trained to translate natural language queries into valid, grounded OpenSearch JSON DSL queries.

Model Summary

  • Base Model: google/flan-t5-base
  • Architecture: Encoder-Decoder Seq2Seq
  • Method: PEFT LoRA (rank 16, alpha 32)
  • Task: Text-to-OpenSearch DSL Query Generation
  • Target Indices: E-Commerce Orders (opensearch_dashboards_sample_data_ecommerce), Flight Data (opensearch_dashboards_sample_data_flights), Web Access Logs (opensearch_dashboards_sample_data_logs), OTel APM Traces (otel-v1-apm-span-sample), OTel Logs (ss4o_logs-otel-sample).

Using with OpenSearch Agent

python src/run_agent.py "Find web access log events with HTTP response '200' and file extension 'deb'" --model flan-t5
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