ONNX Model Zoo

juancavallotti/t5-base-gec

By juancavallotti · ↓ 4 · ♥ 4 · Updated 2022-06-08

What's in this repo

This page lists the files in juancavallotti/t5-base-gec, including t5-base-gec-decoder-quantized.onnx, t5-base-gec-encoder-quantized.onnx, t5-base-gec-init-decoder-quantized.onnx.

  • 3 ONNX models (.onnx files)
  • 52 files, including 6 .1, 6 .3, 6 .5, 6 .0, 6 .2, 6 .4
  • Last updated 2022-06-08

ONNX files

File Size Download
t5-base-gec-decoder-quantized.onnx — Download
t5-base-gec-encoder-quantized.onnx — Download
t5-base-gec-init-decoder-quantized.onnx — Download

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

t5-base-gec

This model is a fine-tuned version of t5-base on the None dataset.

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1

Model info

transformers
transformers pytorch tensorboard onnx t5 text2text-generation generated_from_trainer license:apache-2.0 text-generation-inference endpoints_compatible region:us
↓ 4 ♥ 4

Created: 2022-06-05

Updated: 2022-06-08

View on Hugging Face

Files (52)

.gitattributes
.gitignore
README.md
config.json
pytorch_model.bin
runs/Jun05_12-00-38_bb9d933ed752/1654430445.6732895/events.out.tfevents.1654430445.bb9d933ed752.77.1
runs/Jun05_12-00-38_bb9d933ed752/1654431963.961465/events.out.tfevents.1654431963.bb9d933ed752.77.3
runs/Jun05_12-00-38_bb9d933ed752/1654434361.7325091/events.out.tfevents.1654434361.bb9d933ed752.77.5
runs/Jun05_12-00-38_bb9d933ed752/events.out.tfevents.1654430445.bb9d933ed752.77.0
runs/Jun05_12-00-38_bb9d933ed752/events.out.tfevents.1654431963.bb9d933ed752.77.2
runs/Jun05_12-00-38_bb9d933ed752/events.out.tfevents.1654434361.bb9d933ed752.77.4
runs/Jun07_01-09-03_de5eb216b55a/1654564439.5818586/events.out.tfevents.1654564439.de5eb216b55a.107.1
runs/Jun07_01-09-03_de5eb216b55a/1654565910.3455102/events.out.tfevents.1654565910.de5eb216b55a.107.3
runs/Jun07_01-09-03_de5eb216b55a/1654568085.2898805/events.out.tfevents.1654568085.de5eb216b55a.107.5
runs/Jun07_01-09-03_de5eb216b55a/events.out.tfevents.1654564439.de5eb216b55a.107.0
runs/Jun07_01-09-03_de5eb216b55a/events.out.tfevents.1654565910.de5eb216b55a.107.2
runs/Jun07_01-09-03_de5eb216b55a/events.out.tfevents.1654568085.de5eb216b55a.107.4
runs/Jun07_21-48-57_3b15a0be5664/1654638893.5747924/events.out.tfevents.1654638893.3b15a0be5664.75.1
runs/Jun07_21-48-57_3b15a0be5664/1654641823.4587307/events.out.tfevents.1654641823.3b15a0be5664.75.3
runs/Jun07_21-48-57_3b15a0be5664/1654642713.650854/events.out.tfevents.1654642713.3b15a0be5664.75.5
runs/Jun07_21-48-57_3b15a0be5664/1654646626.0768828/events.out.tfevents.1654646626.3b15a0be5664.75.7
runs/Jun07_21-48-57_3b15a0be5664/events.out.tfevents.1654638893.3b15a0be5664.75.0
runs/Jun07_21-48-57_3b15a0be5664/events.out.tfevents.1654641823.3b15a0be5664.75.2
runs/Jun07_21-48-57_3b15a0be5664/events.out.tfevents.1654642713.3b15a0be5664.75.4
runs/Jun07_21-48-57_3b15a0be5664/events.out.tfevents.1654646626.3b15a0be5664.75.6
runs/Jun08_00-24-57_3b15a0be5664/1654647903.766141/events.out.tfevents.1654647903.3b15a0be5664.2271.1
runs/Jun08_00-24-57_3b15a0be5664/1654650837.5402603/events.out.tfevents.1654650837.3b15a0be5664.2271.3
runs/Jun08_00-24-57_3b15a0be5664/1654653877.2715979/events.out.tfevents.1654653877.3b15a0be5664.2271.5
runs/Jun08_00-24-57_3b15a0be5664/1654658249.5250788/events.out.tfevents.1654658249.3b15a0be5664.2271.7
runs/Jun08_00-24-57_3b15a0be5664/events.out.tfevents.1654647903.3b15a0be5664.2271.0
runs/Jun08_00-24-57_3b15a0be5664/events.out.tfevents.1654650837.3b15a0be5664.2271.2
runs/Jun08_00-24-57_3b15a0be5664/events.out.tfevents.1654653877.3b15a0be5664.2271.4
runs/Jun08_00-24-57_3b15a0be5664/events.out.tfevents.1654658249.3b15a0be5664.2271.6
runs/Jun08_03-47-24_3b15a0be5664/1654660050.5110326/events.out.tfevents.1654660050.3b15a0be5664.4797.1
runs/Jun08_03-47-24_3b15a0be5664/1654663376.0631163/events.out.tfevents.1654663376.3b15a0be5664.4797.3
runs/Jun08_03-47-24_3b15a0be5664/1654664610.5788233/events.out.tfevents.1654664610.3b15a0be5664.4797.5
runs/Jun08_03-47-24_3b15a0be5664/events.out.tfevents.1654660050.3b15a0be5664.4797.0
runs/Jun08_03-47-24_3b15a0be5664/events.out.tfevents.1654663376.3b15a0be5664.4797.2
runs/Jun08_03-47-24_3b15a0be5664/events.out.tfevents.1654664610.3b15a0be5664.4797.4
runs/Jun08_12-03-21_d2ce53270864/1654690156.5289345/events.out.tfevents.1654690156.d2ce53270864.73.1
runs/Jun08_12-03-21_d2ce53270864/1654693530.8878946/events.out.tfevents.1654693530.d2ce53270864.73.3
runs/Jun08_12-03-21_d2ce53270864/1654694706.1883268/events.out.tfevents.1654694706.d2ce53270864.73.5
runs/Jun08_12-03-21_d2ce53270864/events.out.tfevents.1654690156.d2ce53270864.73.0
runs/Jun08_12-03-21_d2ce53270864/events.out.tfevents.1654693530.d2ce53270864.73.2
runs/Jun08_12-03-21_d2ce53270864/events.out.tfevents.1654694706.d2ce53270864.73.4
special_tokens_map.json
t5-base-gec-decoder-quantized.onnx ONNX
t5-base-gec-encoder-quantized.onnx ONNX
t5-base-gec-init-decoder-quantized.onnx ONNX
tokenizer.json
tokenizer_config.json
training_args.bin

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