Upload folder using huggingface_hub
Browse files- README.md +21 -0
- class_map.json +216 -0
- eval_onnx_fp32.json +25 -0
- model_fp32.onnx +3 -0
- training_metrics.json +506 -0
README.md
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# Image Classification Model Card
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## Overview
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This repository contains an ONNX image classification model for recognizing visual symbol classes in small cropped images.
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## Files
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- `model_fp32.onnx`: FP32 ONNX model artifact
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- `eval_onnx_fp32.json`: Evaluation summary for the ONNX model
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- `training_metrics.json`: Training/validation metric logs
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- `class_map.json`: Label mapping used by the model
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## Intended Use
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- Inference in OCR or visual classification pipelines
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- Benchmarking and experimentation
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## Limitations
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- Performance depends on image quality and class balance
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- May underperform on out-of-domain samples
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## Ethical Considerations
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Use this model in lawful and privacy-respecting contexts.
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class_map.json
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}
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eval_onnx_fp32.json
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{
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"model": "/home/kkaisrvr/projects/live/captchaslayer/artifacts/models/math_mnv3_17k_v1/model_fp32.onnx",
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"split_csv": "/home/kkaisrvr/projects/live/captchaslayer/artifacts/math_dataset_17k_v1/test.csv",
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"num_samples": 2045,
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| 5 |
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"batch_size": 1,
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"threads": 64,
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"accuracy": 0.9613691931540342,
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"macro_f1": 0.9320283953570693,
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"latency_ms_per_sample": {
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"mean": 4.756918244575169,
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"p50": 4.349756985902786,
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"p95": 6.074900273233652
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},
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"throughput_samples_per_sec": 210.22013593368118,
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"acceptance_policy": {
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"min_confidence": 0.6,
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"min_margin": 0.1
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},
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"acceptance_metrics": {
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"coverage": 0.9682151589242054,
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"accepted_samples": 1980,
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"accepted_accuracy": 0.9732323232323232,
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"rejected_samples": 65
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}
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}
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model_fp32.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6ca8c9e0d68f6a95a2d47f3fee1b378391fb6722598941db6f5efe1c4dbed49
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size 6503358
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training_metrics.json
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