Upload folder using huggingface_hub
Browse files- README.md +32 -0
- checkpoint-72/config.json +33 -0
- checkpoint-72/model.safetensors +3 -0
- checkpoint-72/optimizer.pt +3 -0
- checkpoint-72/rng_state.pth +3 -0
- checkpoint-72/scheduler.pt +3 -0
- checkpoint-72/trainer_state.json +687 -0
- checkpoint-72/training_args.bin +3 -0
- config.json +33 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -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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- autotrain-5ozhd-efa4o/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 Metricsg
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loss: 0.04287773743271828
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f1: 1.0
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precision: 1.0
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recall: 1.0
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auc: 1.0
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accuracy: 1.0
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checkpoint-72/config.json
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{
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"_name_or_path": "google/vit-base-patch16-224",
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"_num_labels": 2,
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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": "mulder",
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"1": "scully"
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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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"mulder": 0,
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"scully": 1
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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": "4.37.0"
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}
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checkpoint-72/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:981b48030a011740f8674bba203e9161515fa357d3b4151d614e82314c6311f3
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size 343223968
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checkpoint-72/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c351b8d27e95707ad8b35b4baf2eca351e97f2f7b4063e7875700053d4261e2
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size 686568890
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checkpoint-72/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b902436ede14f21853f48e294c48e3183ef19dffb39894033493cfce466e974d
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size 14244
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checkpoint-72/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2c360eab626edb5c10de58a3359d614f7dd14f014dd86e743cf484d659eb801
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size 1064
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checkpoint-72/trainer_state.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_rescale": true,
|
| 4 |
+
"do_resize": true,
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.5,
|
| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe5c22cdb148b1741f8bacd35417ccf73ebad1b8a9b96139dfe410e06c0eea57
|
| 3 |
+
size 4728
|
training_params.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_path": "autotrain-5ozhd-efa4o/autotrain-data",
|
| 3 |
+
"model": "google/vit-base-patch16-224",
|
| 4 |
+
"username": "dvs",
|
| 5 |
+
"lr": 5e-05,
|
| 6 |
+
"epochs": 20,
|
| 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": "autotrain-5ozhd-efa4o",
|
| 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": "dvs/autotrain-5ozhd-efa4o",
|
| 25 |
+
"evaluation_strategy": "epoch",
|
| 26 |
+
"image_column": "autotrain_image",
|
| 27 |
+
"target_column": "autotrain_label",
|
| 28 |
+
"log": "none"
|
| 29 |
+
}
|