🍻 cheers
Browse files- README.md +3 -2
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +58 -0
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-plankton
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This model is a fine-tuned version of [google/vit-base-patch16-224
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## Model description
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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# vit-base-plankton
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the beans dataset.
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## Model description
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 6.762570523759411e+16,
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"train_loss": 2.928572859082903,
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"train_runtime": 1229.5876,
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"train_samples_per_second": 0.709,
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"train_steps_per_second": 0.046
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}
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train_results.json
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{
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"epoch": 2.0,
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"total_flos": 6.762570523759411e+16,
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"train_loss": 2.928572859082903,
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"train_runtime": 1229.5876,
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"train_samples_per_second": 0.709,
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"train_steps_per_second": 0.046
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.0,
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"eval_steps": 100,
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"global_step": 56,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.36,
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"learning_rate": 0.00016428571428571428,
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"loss": 3.6178,
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"step": 10
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},
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{
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"epoch": 0.71,
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"learning_rate": 0.00012857142857142858,
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"loss": 3.2104,
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"step": 20
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},
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{
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"epoch": 1.07,
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"learning_rate": 9.285714285714286e-05,
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"loss": 2.8772,
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"step": 30
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},
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{
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"epoch": 1.43,
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"learning_rate": 5.714285714285714e-05,
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"loss": 2.6572,
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"step": 40
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},
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{
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"epoch": 1.79,
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"learning_rate": 2.1428571428571428e-05,
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"loss": 2.554,
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"step": 50
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},
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{
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"epoch": 2.0,
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"step": 56,
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"total_flos": 6.762570523759411e+16,
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"train_loss": 2.928572859082903,
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"train_runtime": 1229.5876,
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"train_samples_per_second": 0.709,
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"train_steps_per_second": 0.046
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}
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],
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"logging_steps": 10,
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"max_steps": 56,
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"num_train_epochs": 2,
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"save_steps": 100,
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"total_flos": 6.762570523759411e+16,
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"trial_name": null,
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"trial_params": null
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}
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