🍻 cheers
Browse files- README.md +6 -5
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Apr17_07-35-21_780228e9e9f6/events.out.tfevents.1713349264.780228e9e9f6.33.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +2717 -93
README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# Action_model
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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
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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name: Image Classification
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type: image-classification
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dataset:
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name: action_class
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.7742857142857142
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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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# Action_model
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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 action_class dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.7498
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- Accuracy: 0.7743
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## Model description
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| 40 |
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all_results.json
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"eval_runtime":
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"total_flos": 7.776878731479245e+
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"train_loss":
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"train_runtime":
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"train_steps_per_second":
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}
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"train_samples_per_second": 27.119,
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"train_steps_per_second": 1.697
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}
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eval_results.json
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"eval_samples_per_second": 59.043,
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"eval_steps_per_second": 7.423
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runs/Apr17_07-35-21_780228e9e9f6/events.out.tfevents.1713349264.780228e9e9f6.33.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:947d456fc4f4f19eae5e7fec5be8b9cf4163062a35c5d1ec65fa1b81e2217450
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+
size 411
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train_results.json
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{
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"train_loss":
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"train_steps_per_second":
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"train_samples_per_second": 27.119,
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"train_steps_per_second": 1.697
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}
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trainer_state.json
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