End of training
Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +38 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Dec22_06-31-25_f46503261215/events.out.tfevents.1703226686.f46503261215.344.0 +3 -0
- runs/Dec22_06-33-31_f46503261215/events.out.tfevents.1703226811.f46503261215.344.1 +3 -0
- runs/Dec22_06-34-39_f46503261215/events.out.tfevents.1703226879.f46503261215.344.2 +3 -0
- runs/Dec22_06-36-17_f46503261215/events.out.tfevents.1703226980.f46503261215.22573.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +991 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: google/vit-large-patch16-224-in21k
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| 4 |
+
tags:
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| 5 |
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- generated_from_trainer
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| 6 |
+
metrics:
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| 7 |
+
- accuracy
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| 8 |
+
model-index:
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| 9 |
+
- name: vit-large-beans-demo-v5
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| 10 |
+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
+
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| 16 |
+
# vit-large-beans-demo-v5
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| 17 |
+
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| 18 |
+
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
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| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
+
- Loss: 0.6497
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| 21 |
+
- Accuracy: 0.7335
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| 22 |
+
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| 23 |
+
## Model description
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| 24 |
+
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+
More information needed
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| 26 |
+
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| 27 |
+
## Intended uses & limitations
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| 28 |
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| 29 |
+
More information needed
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| 30 |
+
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| 31 |
+
## Training and evaluation data
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| 32 |
+
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| 33 |
+
More information needed
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| 34 |
+
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| 35 |
+
## Training procedure
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| 36 |
+
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| 37 |
+
### Training hyperparameters
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| 38 |
+
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| 39 |
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The following hyperparameters were used during training:
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| 40 |
+
- learning_rate: 0.0001
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| 41 |
+
- train_batch_size: 35
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| 42 |
+
- eval_batch_size: 8
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| 43 |
+
- seed: 42
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| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 45 |
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- lr_scheduler_type: linear
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| 46 |
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- num_epochs: 2
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| 47 |
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- mixed_precision_training: Native AMP
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| 48 |
+
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| 49 |
+
### Training results
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| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 53 |
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| 0.581 | 1.25 | 1000 | 0.6497 | 0.7335 |
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| 54 |
+
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| 55 |
+
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| 56 |
+
### Framework versions
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| 57 |
+
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| 58 |
+
- Transformers 4.35.2
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| 59 |
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- Pytorch 2.1.2+cu121
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| 60 |
+
- Datasets 2.15.0
|
| 61 |
+
- Tokenizers 0.15.0
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all_results.json
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| 1 |
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{
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| 2 |
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"epoch": 2.0,
|
| 3 |
+
"total_flos": 1.5287325828267258e+19,
|
| 4 |
+
"train_loss": 0.5975370544538761,
|
| 5 |
+
"train_runtime": 3758.5978,
|
| 6 |
+
"train_samples_per_second": 14.848,
|
| 7 |
+
"train_steps_per_second": 0.425
|
| 8 |
+
}
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config.json
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| 1 |
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{
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| 2 |
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"_name_or_path": "google/vit-large-patch16-224-in21k",
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| 3 |
+
"architectures": [
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| 4 |
+
"ViTForImageClassification"
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| 5 |
+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"encoder_stride": 16,
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| 8 |
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"hidden_act": "gelu",
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| 9 |
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"hidden_dropout_prob": 0.0,
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| 10 |
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"hidden_size": 1024,
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| 11 |
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"id2label": {
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| 12 |
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"0": "DR",
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| 13 |
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"1": "G",
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| 14 |
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"2": "ND",
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| 15 |
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"3": "WD",
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| 16 |
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"4": "other"
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| 17 |
+
},
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| 18 |
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"image_size": 224,
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| 19 |
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"initializer_range": 0.02,
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| 20 |
+
"intermediate_size": 4096,
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| 21 |
+
"label2id": {
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| 22 |
+
"DR": "0",
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| 23 |
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"G": "1",
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| 24 |
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"ND": "2",
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| 25 |
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"WD": "3",
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| 26 |
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"other": "4"
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| 27 |
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},
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| 28 |
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"layer_norm_eps": 1e-12,
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| 29 |
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"model_type": "vit",
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| 30 |
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"num_attention_heads": 16,
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| 31 |
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"num_channels": 3,
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| 32 |
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"num_hidden_layers": 24,
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| 33 |
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"patch_size": 16,
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| 34 |
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"problem_type": "single_label_classification",
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| 35 |
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"qkv_bias": true,
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| 36 |
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"torch_dtype": "float32",
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| 37 |
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"transformers_version": "4.35.2"
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| 38 |
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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 |
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oid sha256:a6dd0a041f3cce26a7c61135e2e7d9dbc4f811319406622ede04752e7946046a
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| 3 |
+
size 1213273572
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preprocessor_config.json
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{
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"do_normalize": true,
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| 3 |
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"do_rescale": true,
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| 4 |
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"do_resize": true,
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| 5 |
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"image_mean": [
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0.5,
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| 7 |
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0.5,
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| 8 |
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0.5
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| 9 |
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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| 14 |
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0.5
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| 15 |
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],
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| 16 |
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"resample": 2,
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| 17 |
+
"rescale_factor": 0.00392156862745098,
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| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
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| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
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runs/Dec22_06-31-25_f46503261215/events.out.tfevents.1703226686.f46503261215.344.0
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:14a47b5b732b0814bf8cec70859146726ff5a1b8de848b50f5ed288cc3b76ff9
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| 3 |
+
size 5081
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runs/Dec22_06-33-31_f46503261215/events.out.tfevents.1703226811.f46503261215.344.1
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:48a920e8f8da86e22b6fe42b15546c8bd72531c54d1c2f8c72174f1f67be0b3a
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| 3 |
+
size 4184
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runs/Dec22_06-34-39_f46503261215/events.out.tfevents.1703226879.f46503261215.344.2
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:774c53652032a4d98ac69aa090b4166174199e9bbe8339eadec6620fadf96ebe
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| 3 |
+
size 4184
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runs/Dec22_06-36-17_f46503261215/events.out.tfevents.1703226980.f46503261215.22573.0
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b88c97c591605eb5ec315b05174451be4188669bb350520402789008cdc54a53
|
| 3 |
+
size 29914
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train_results.json
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{
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| 2 |
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"epoch": 2.0,
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| 3 |
+
"total_flos": 1.5287325828267258e+19,
|
| 4 |
+
"train_loss": 0.5975370544538761,
|
| 5 |
+
"train_runtime": 3758.5978,
|
| 6 |
+
"train_samples_per_second": 14.848,
|
| 7 |
+
"train_steps_per_second": 0.425
|
| 8 |
+
}
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trainer_state.json
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training_args.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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