rishavranaut / flanT5_Task1

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: February 15 2025
text-classification

Introduction of flanT5_Task1

Model Details of flanT5_Task1

flanT5_Task1

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3098
  • Accuracy: 0.8165
  • Precision: 0.8440
  • Recall: 0.7765
  • F1 score: 0.8088
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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 score
1.0847 0.4205 2500 1.3759 0.7518 0.9213 0.5506 0.6892
0.9941 0.8410 5000 0.6878 0.7518 0.9385 0.5388 0.6846
0.923 1.2616 7500 0.7291 0.6765 0.6576 0.7365 0.6948
1.497 1.6821 10000 0.8002 0.7718 0.8113 0.7082 0.7563
0.8117 2.1026 12500 0.9010 0.8118 0.9077 0.6941 0.7867
0.6506 2.5231 15000 1.0067 0.8165 0.8726 0.7412 0.8015
0.6506 2.9437 17500 0.8469 0.8212 0.8564 0.7718 0.8119
0.4374 3.3642 20000 0.9613 0.8129 0.8410 0.7718 0.8049
0.3959 3.7847 22500 1.0604 0.8106 0.8220 0.7929 0.8072
0.317 4.2052 25000 1.1859 0.8071 0.8085 0.8047 0.8066
0.2057 4.6257 27500 1.3098 0.8165 0.8440 0.7765 0.8088
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of rishavranaut flanT5_Task1 on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About flanT5_Task1 huggingface.co Model

More flanT5_Task1 license Visit here:

https://choosealicense.com/licenses/apache-2.0

flanT5_Task1 huggingface.co

flanT5_Task1 huggingface.co is an AI model on huggingface.co that provides flanT5_Task1's model effect (), which can be used instantly with this rishavranaut flanT5_Task1 model. huggingface.co supports a free trial of the flanT5_Task1 model, and also provides paid use of the flanT5_Task1. Support call flanT5_Task1 model through api, including Node.js, Python, http.

rishavranaut flanT5_Task1 online free

flanT5_Task1 huggingface.co is an online trial and call api platform, which integrates flanT5_Task1's modeling effects, including api services, and provides a free online trial of flanT5_Task1, you can try flanT5_Task1 online for free by clicking the link below.

rishavranaut flanT5_Task1 online free url in huggingface.co:

https://huggingface.co/rishavranaut/flanT5_Task1

flanT5_Task1 install

flanT5_Task1 is an open source model from GitHub that offers a free installation service, and any user can find flanT5_Task1 on GitHub to install. At the same time, huggingface.co provides the effect of flanT5_Task1 install, users can directly use flanT5_Task1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

flanT5_Task1 install url in huggingface.co:

https://huggingface.co/rishavranaut/flanT5_Task1

Url of flanT5_Task1

Provider of flanT5_Task1 huggingface.co

rishavranaut
ORGANIZATIONS

Other API from rishavranaut

huggingface.co

Total runs: 6
Run Growth: 0
Growth Rate: 0.00%
Updated:February 13 2025
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:February 14 2025