artwork score
Browse files- README.md +52 -0
- all_results.json +7 -0
- config.json +51 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +7 -0
- trainer_state.json +2430 -0
- training_args.bin +3 -0
README.md
ADDED
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| 1 |
+
---
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+
license: apache-2.0
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+
base_model: facebook/convnextv2-base-22k-384
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+
tags:
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- generated_from_trainer
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| 6 |
+
model-index:
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- name: convnextv2-base-22k-384-finetuned-multilabel-test
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| 8 |
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results: []
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| 9 |
+
---
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| 10 |
+
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 12 |
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should probably proofread and complete it, then remove this comment. -->
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| 13 |
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| 14 |
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# convnextv2-base-22k-384-finetuned-multilabel-test
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
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+
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## Model description
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More information needed
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| 21 |
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## Intended uses & limitations
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| 23 |
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More information needed
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| 25 |
+
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| 26 |
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## Training and evaluation data
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| 27 |
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More information needed
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| 29 |
+
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| 30 |
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## Training procedure
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| 31 |
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### Training hyperparameters
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| 34 |
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The following hyperparameters were used during training:
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| 35 |
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- learning_rate: 3e-05
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| 36 |
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- train_batch_size: 16
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| 37 |
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- eval_batch_size: 16
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| 38 |
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- seed: 42
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| 39 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 40 |
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- lr_scheduler_type: constant
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| 41 |
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- num_epochs: 1
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| 42 |
+
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| 43 |
+
### Training results
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| 44 |
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| 45 |
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| 46 |
+
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| 47 |
+
### Framework versions
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| 48 |
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| 49 |
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- Transformers 4.36.2
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| 50 |
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- Pytorch 2.0.1+cu118
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| 51 |
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- Datasets 2.16.0
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| 52 |
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- Tokenizers 0.15.0
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all_results.json
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{
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| 2 |
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"epoch": 1.0,
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| 3 |
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"train_loss": 0.49472963369333306,
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| 4 |
+
"train_runtime": 1452.6312,
|
| 5 |
+
"train_samples_per_second": 22.043,
|
| 6 |
+
"train_steps_per_second": 1.378
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| 7 |
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}
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config.json
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{
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| 2 |
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"_name_or_path": "facebook/convnextv2-base-22k-384",
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| 3 |
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"architectures": [
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| 4 |
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"ConvNextV2ForImageClassification"
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| 5 |
+
],
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| 6 |
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"depths": [
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| 7 |
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3,
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| 8 |
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3,
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| 9 |
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27,
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| 10 |
+
3
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| 11 |
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],
|
| 12 |
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"drop_path_rate": 0.0,
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| 13 |
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"hidden_act": "gelu",
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| 14 |
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"hidden_sizes": [
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| 15 |
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128,
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| 16 |
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256,
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| 17 |
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512,
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| 18 |
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1024
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| 19 |
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],
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| 20 |
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"id2label": {
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| 21 |
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"0": "score",
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| 22 |
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"1": "views"
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| 23 |
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},
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| 24 |
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"image_size": 224,
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| 25 |
+
"initializer_range": 0.02,
|
| 26 |
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"label2id": {
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| 27 |
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"score": 0,
|
| 28 |
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"views": 1
|
| 29 |
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},
|
| 30 |
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"layer_norm_eps": 1e-12,
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| 31 |
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"model_type": "convnextv2",
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| 32 |
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"num_channels": 3,
|
| 33 |
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"num_stages": 4,
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| 34 |
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"out_features": [
|
| 35 |
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"stage4"
|
| 36 |
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],
|
| 37 |
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"out_indices": [
|
| 38 |
+
4
|
| 39 |
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],
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| 40 |
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"patch_size": 4,
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| 41 |
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"problem_type": "multi_label_classification",
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| 42 |
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"stage_names": [
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| 43 |
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"stem",
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| 44 |
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"stage1",
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| 45 |
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"stage2",
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| 46 |
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"stage3",
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| 47 |
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"stage4"
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| 48 |
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],
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| 49 |
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"torch_dtype": "float32",
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| 50 |
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"transformers_version": "4.36.2"
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| 51 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a391221a94ba29aa1e7bdb50b63ad4abe7ca47c9945e67cfce51a05182756fcb
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| 3 |
+
size 350825440
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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| 6 |
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ConvNextImageProcessor",
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"image_std": [
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0.229,
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0.224,
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| 15 |
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0.225
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| 16 |
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],
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| 17 |
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"resample": 3,
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| 18 |
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"rescale_factor": 0.00392156862745098,
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| 19 |
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"size": {
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| 20 |
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"shortest_edge": 384
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| 21 |
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}
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| 22 |
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}
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pytorch_model.bin
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:55bdbc5f3b061cce0ec14898ec956e32af01d40adacb093c5f865f37316fa5c9
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| 3 |
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size 350977405
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train_results.json
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{
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"epoch": 1.0,
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| 3 |
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"train_loss": 0.49472963369333306,
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| 4 |
+
"train_runtime": 1452.6312,
|
| 5 |
+
"train_samples_per_second": 22.043,
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| 6 |
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"train_steps_per_second": 1.378
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| 7 |
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}
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trainer_state.json
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