Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use Augusto777/swinv2-tiny-patch4-window8-256-DMAE-da-colab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Augusto777/swinv2-tiny-patch4-window8-256-DMAE-da-colab2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Augusto777/swinv2-tiny-patch4-window8-256-DMAE-da-colab2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Augusto777/swinv2-tiny-patch4-window8-256-DMAE-da-colab2") model = AutoModelForImageClassification.from_pretrained("Augusto777/swinv2-tiny-patch4-window8-256-DMAE-da-colab2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- all_results.json +13 -0
- eval_results.json +8 -0
- model.safetensors +1 -1
- runs/Dec03_16-03-14_279d23e2c555/events.out.tfevents.1733242874.279d23e2c555.8837.1 +3 -0
- runs/Dec03_16-39-17_279d23e2c555/events.out.tfevents.1733243967.279d23e2c555.8837.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +701 -0
- training_args.bin +1 -1
all_results.json
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{
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"epoch": 38.26086956521739,
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"eval_accuracy": 0.7391304347826086,
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"eval_loss": 0.7807860374450684,
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"eval_runtime": 0.8852,
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"eval_samples_per_second": 51.968,
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"eval_steps_per_second": 3.389,
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"total_flos": 8.989085534729011e+17,
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"train_loss": 0.6443484219637784,
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"train_runtime": 903.3964,
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"train_samples_per_second": 31.968,
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"train_steps_per_second": 0.487
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}
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eval_results.json
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{
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"epoch": 38.26086956521739,
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"eval_accuracy": 0.7391304347826086,
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"eval_loss": 0.7807860374450684,
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"eval_runtime": 0.8852,
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"eval_samples_per_second": 51.968,
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"eval_steps_per_second": 3.389
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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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size 110356296
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version https://git-lfs.github.com/spec/v1
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oid sha256:a98a63ff4092b6aa5b0aa67da73f2990564bdc60ce0f01cd3253139468da1782
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size 110356296
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runs/Dec03_16-03-14_279d23e2c555/events.out.tfevents.1733242874.279d23e2c555.8837.1
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size 411
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runs/Dec03_16-39-17_279d23e2c555/events.out.tfevents.1733243967.279d23e2c555.8837.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:264ca2469e8ff79e2ed8cac9d3231f753ef21404dea3df73faab87d0fcac5bdf
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size 6192
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train_results.json
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{
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"epoch": 38.26086956521739,
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"total_flos": 8.989085534729011e+17,
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"train_loss": 0.6443484219637784,
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"train_runtime": 903.3964,
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"train_samples_per_second": 31.968,
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"train_steps_per_second": 0.487
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}
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trainer_state.json
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