howdyaendra
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Browse files- README.md +42 -0
- checkpoint-2253/config.json +37 -0
- checkpoint-2253/model.safetensors +3 -0
- checkpoint-2253/optimizer.pt +3 -0
- checkpoint-2253/rng_state.pth +3 -0
- checkpoint-2253/scheduler.pt +3 -0
- checkpoint-2253/trainer_state.json +705 -0
- checkpoint-2253/training_args.bin +3 -0
- config.json +37 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Apr13_15-42-12_496e75b93dc4/events.out.tfevents.1713022933.496e75b93dc4.14956.0 +2 -2
- runs/Apr13_15-42-12_496e75b93dc4/events.out.tfevents.1713025068.496e75b93dc4.14956.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
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---
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tags:
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- autotrain
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- image-classification
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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datasets:
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- xblock-base-patch1-224/autotrain-data
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---
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# Model Trained Using AutoTrain
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- Problem type: Image Classification
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## Validation Metrics
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loss: 0.4469132423400879
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f1_macro: 0.8236777117298302
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f1_micro: 0.829560585885486
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f1_weighted: 0.8289271724966029
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precision_macro: 0.8243514221166717
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precision_micro: 0.829560585885486
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precision_weighted: 0.8313607282611274
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recall_macro: 0.8260057947019868
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recall_micro: 0.829560585885486
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recall_weighted: 0.829560585885486
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accuracy: 0.829560585885486
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checkpoint-2253/config.json
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{
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"_name_or_path": "google/vit-base-patch16-224",
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"_num_labels": 4,
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "bluesky",
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"1": "not-screenshot",
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"2": "other-screenshot",
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"3": "twitter"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"bluesky": 0,
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"not-screenshot": 1,
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"other-screenshot": 2,
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"twitter": 3
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3"
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}
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checkpoint-2253/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2a08cc01c6691df5610d2b51a33f4e71cb0d8f4fc6c4c4590d3426bcfeac2b5
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size 343230128
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checkpoint-2253/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d209548fcb17fcfdb1fcc7410e235554da75dcabada7bef2fe2f17202e679e4e
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size 686581178
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checkpoint-2253/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:74d3cc1ae6d69d8c7a072006439f13a37690d21eeeb7a2afa2b41e2b1af2b5ad
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size 14244
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checkpoint-2253/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec2d3b5a510a1471dab40fffcdac65fde77564ce4593287787898b7b9e31ec75
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size 1064
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checkpoint-2253/trainer_state.json
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{
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"best_metric": 0.4469132423400879,
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"best_model_checkpoint": "xblock-base-patch1-224/checkpoint-2253",
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 2253,
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"is_hyper_param_search": false,
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"is_world_process_zero": true,
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{
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"loss": 1.5614,
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"step": 25
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},
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{
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"epoch": 0.07,
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"epoch": 0.13,
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{
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"loss": 1.0742,
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"data_path": "xblock-base-patch1-224/autotrain-data",
|
3 |
+
"model": "google/vit-base-patch16-224",
|
4 |
+
"username": "howdyaendra",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 3,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "xblock-base-patch1-224",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"save_strategy": "epoch",
|
23 |
+
"push_to_hub": true,
|
24 |
+
"repo_id": "howdyaendra/xblock-base-patch1-224",
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"image_column": "autotrain_image",
|
27 |
+
"target_column": "autotrain_label",
|
28 |
+
"log": "tensorboard"
|
29 |
+
}
|