Commit
•
a1ed873
1
Parent(s):
031d612
add model
Browse files- .gitignore +1 -0
- README.md +77 -0
- all_results.json +12 -0
- config.json +30 -0
- emissions.csv +2 -0
- eval_results.json +8 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/1630414853.6690447/events.out.tfevents.1630414853.nate-gpu-2.17369.1 +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630414853.nate-gpu-2.17369.0 +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630415719.nate-gpu-2.17369.2 +3 -0
- train_results.json +7 -0
- trainer_state.json +1000 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- cats_vs_dogs
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metrics:
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- accuracy
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model-index:
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- name: vit-base-cats-vs-dogs
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: cats_vs_dogs
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type: cats_vs_dogs
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9934510250569476
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---
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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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should probably proofread and complete it, then remove this comment. -->
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# vit-base-cats-vs-dogs
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cats_vs_dogs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0202
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- Accuracy: 0.9935
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.064 | 1.0 | 311 | 0.0483 | 0.9849 |
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| 0.0622 | 2.0 | 622 | 0.0275 | 0.9903 |
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| 0.0366 | 3.0 | 933 | 0.0262 | 0.9917 |
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| 0.0294 | 4.0 | 1244 | 0.0219 | 0.9932 |
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| 0.0161 | 5.0 | 1555 | 0.0202 | 0.9935 |
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### Framework versions
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- Transformers 4.10.0.dev0
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- Pytorch 1.9.0+cu102
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- Datasets 1.11.1.dev0
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9934510250569476,
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"eval_loss": 0.020224373787641525,
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"eval_runtime": 24.2248,
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"eval_samples_per_second": 144.975,
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"eval_steps_per_second": 2.27,
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"train_loss": 0.05366519431784222,
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"train_runtime": 840.8866,
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"train_samples_per_second": 118.316,
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"train_steps_per_second": 1.849
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}
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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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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"finetuning_task": "image-classification",
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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": "cat",
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"1": "dog"
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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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"cat": "0",
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"dog": "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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"torch_dtype": "float32",
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"transformers_version": "4.10.0.dev0"
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}
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2021-08-31T13:14:54,e7142752-9335-42d7-b19b-2aa53e8d5c5b,codecarbon,840.8924231529236,0.041244092678339624,0.07283081878569597,USA,USA,Iowa,Y,gcp,us-central1
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9934510250569476,
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"eval_loss": 0.020224373787641525,
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"eval_runtime": 24.2248,
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"eval_samples_per_second": 144.975,
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"eval_steps_per_second": 2.27
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"size": 224
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:15a4188d7f04735f0c39a4d94e99c60ba526556eb2dc25e9e6227be88774e9a0
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size 343279857
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runs/Aug31_13-00-45_nate-gpu-2/1630414853.6690447/events.out.tfevents.1630414853.nate-gpu-2.17369.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fc267c67257f299e4719366102a3ba84355c657019d70e39acebe617644f93c
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size 4244
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runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630414853.nate-gpu-2.17369.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2ac3d67c6580face3442870534fad28c754c924aa1928fb540f4de9f4ff9592
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size 29267
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runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630415719.nate-gpu-2.17369.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:d846edb8f631193944c931994991ac162dc228b72aa1524d4a5ffa20bb73d940
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size 363
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.05366519431784222,
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"train_runtime": 840.8866,
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"train_samples_per_second": 118.316,
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"train_steps_per_second": 1.849
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}
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trainer_state.json
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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