ONNX Model Zoo

onnx-community/bart-kurd-spell-base-05-ONNX

By onnx-community · ↓ 0 · ♥ 0 · Updated 2025-11-10

What's in this repo

This page lists the files in onnx-community/bart-kurd-spell-base-05-ONNX, including decoder_model.onnx, decoder_model_bnb4.onnx, decoder_model_fp16.onnx and more.

  • 32 ONNX models (.onnx files)
  • 42 files, including 32 .onnx, 7 .json, 1 .md, 1 .txt
  • Last updated 2025-11-10

ONNX files

File Size Download
onnx/decoder_model.onnx — Download
onnx/decoder_model_bnb4.onnx — Download
onnx/decoder_model_fp16.onnx — Download
onnx/decoder_model_int8.onnx — Download
onnx/decoder_model_merged.onnx — Download
onnx/decoder_model_merged_bnb4.onnx — Download
onnx/decoder_model_merged_fp16.onnx — Download
onnx/decoder_model_merged_int8.onnx — Download
onnx/decoder_model_merged_q4.onnx — Download
onnx/decoder_model_merged_q4f16.onnx — Download

Showing 10 of 32 .onnx files — see the full file list on the right.

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

bart-kurd-spell-base-05 (ONNX)

This is an ONNX version of razhan/bart-kurd-spell-base-05. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipelines documentation: https://huggingface.co/docs/transformers.js/api/pipelines

bart-base-ckb

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6353
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Cer: 4.7349
  • Gen Len: 13.2035

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 320
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Cer Gen Len Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.5765 0.11 500 10.3648 16.358 3.4338 0.0 0.0 0.0 0.0
3.1749 0.22 1000 10.955 15.828 3.0110 0.0 0.0 0.0 0.0
2.8696 0.33 1500 11.2579 15.358 2.6943 0.0 0.0 0.0 0.0
2.6279 0.43 2000 11.6734 14.8565 2.4300 0.0 0.0 0.0 0.0
2.4166 0.54 2500 11.028 14.523 2.2248 0.0 0.0 0.0 0.0
2.2444 0.65 3000 10.4379 14.4185 2.0490 0.0 0.0 0.0 0.0
2.0902 0.76 3500 10.0905 14.242 1.8756 0.0 0.0 0.0 0.0
1.9565 0.87 4000 9.7629 14.042 1.7377 0.0 0.0 0.0 0.0
1.8319 0.98 4500 9.4737 13.877 1.6244 0.0 0.0 0.0 0.0
1.7104 1.09 5000 9.153 13.825 1.5353 0.0 0.0 0.0 0.0
1.6148 1.2 5500 8.8125 13.726 1.4422 0.0 0.0 0.0 0.0
1.5459 1.3 6000 8.5589 13.681 1.3755 0.0 0.0 0.0 0.0
1.4837 1.41 6500 8.2717 13.6225 1.3035 0.0 0.0 0.0 0.0
1.4219 1.52 7000 8.0684 13.549 1.2407 0.0 0.0 0.0 0.0
1.3743 1.63 7500 7.7684 13.502 1.1865 0.0 0.0 0.0 0.0
1.3318 1.74 8000 7.5247 13.509 1.1503 0.0 0.0 0.0 0.0
1.2893 1.85 8500 7.3826 13.456 1.1085 0.0 0.0 0.0 0.0
1.2228 2.0 9198 1.0506 0.0 0.0 0.0 0.0 7.0411 13.3935
0.9343 3.0 13797 0.7769 0.0 0.0 0.0 0.0 5.5303 13.2935
0.7915 4.0 18396 0.6663 0.0 0.0 0.0 0.0 4.8928 13.209
0.7436 5.0 22995 0.6353 0.0 0.0 0.0 0.0 4.7349 13.2035

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Model info

transformers.js
transformers.js onnx bart text2text-generation generated_from_trainer base_model:razhan/bart-kurd-spell-base-05 base_model:quantized:razhan/bart-kurd-spell-base-05 license:apache-2.0 region:us
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Created: 2025-11-10

Updated: 2025-11-10

View on Hugging Face

Files (42)

.gitattributes
README.md
config.json
generation_config.json
merges.txt
onnx/decoder_model.onnx ONNX
onnx/decoder_model_bnb4.onnx ONNX
onnx/decoder_model_fp16.onnx ONNX
onnx/decoder_model_int8.onnx ONNX
onnx/decoder_model_merged.onnx ONNX
onnx/decoder_model_merged_bnb4.onnx ONNX
onnx/decoder_model_merged_fp16.onnx ONNX
onnx/decoder_model_merged_int8.onnx ONNX
onnx/decoder_model_merged_q4.onnx ONNX
onnx/decoder_model_merged_q4f16.onnx ONNX
onnx/decoder_model_merged_quantized.onnx ONNX
onnx/decoder_model_merged_uint8.onnx ONNX
onnx/decoder_model_q4.onnx ONNX
onnx/decoder_model_q4f16.onnx ONNX
onnx/decoder_model_quantized.onnx ONNX
onnx/decoder_model_uint8.onnx ONNX
onnx/decoder_with_past_model.onnx ONNX
onnx/decoder_with_past_model_bnb4.onnx ONNX
onnx/decoder_with_past_model_fp16.onnx ONNX
onnx/decoder_with_past_model_int8.onnx ONNX
onnx/decoder_with_past_model_q4.onnx ONNX
onnx/decoder_with_past_model_q4f16.onnx ONNX
onnx/decoder_with_past_model_quantized.onnx ONNX
onnx/decoder_with_past_model_uint8.onnx ONNX
onnx/encoder_model.onnx ONNX
onnx/encoder_model_bnb4.onnx ONNX
onnx/encoder_model_fp16.onnx ONNX
onnx/encoder_model_int8.onnx ONNX
onnx/encoder_model_q4.onnx ONNX
onnx/encoder_model_q4f16.onnx ONNX
onnx/encoder_model_quantized.onnx ONNX
onnx/encoder_model_uint8.onnx ONNX
quantize_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json

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