File size: 1,252 Bytes
b5f4973 15f0228 b275041 f60331a 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 f60331a b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 7c0fe75 15f0228 b5f4973 15f0228 b5f4973 15f0228 b5f4973 15f0228 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | ---
library_name: transformers
base_model: andro-flock/b2-classification
tags:
- image-segmentation
- vision
- generated_from_trainer
model-index:
- name: b2-segmentation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# b2-segmentation
This model is a fine-tuned version of [andro-flock/b2-classification](https://huggingface.co/andro-flock/b2-classification) on the andro-flock/semantic-segment-4class 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: 6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- training_steps: 500
### Training results
### Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
|