🍻 cheers
Browse files- README.md +6 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Apr22_19-46-52_25f23db457d4/events.out.tfevents.1713817857.25f23db457d4.34.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1772 -0
README.md
CHANGED
@@ -2,6 +2,7 @@
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window16-256
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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_agent
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-
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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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: microsoft/swinv2-tiny-patch4-window16-256
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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: agent_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: 0.7895238095238095
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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_agent
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+
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the agent_action_class dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6309
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- Accuracy: 0.7895
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## Model description
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7895238095238095,
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"eval_loss": 0.6309406161308289,
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+
"eval_runtime": 13.6501,
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"eval_samples_per_second": 76.922,
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"eval_steps_per_second": 9.67,
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"total_flos": 3.265548125287219e+18,
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"train_loss": 0.7155859537944672,
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"train_runtime": 2626.1064,
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"train_samples_per_second": 38.212,
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"train_steps_per_second": 1.196
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7895238095238095,
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"eval_loss": 0.6309406161308289,
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"eval_runtime": 13.6501,
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"eval_samples_per_second": 76.922,
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"eval_steps_per_second": 9.67
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}
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runs/Apr22_19-46-52_25f23db457d4/events.out.tfevents.1713817857.25f23db457d4.34.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cf74ea96e9b43de8ad834f5d54784b30c7dcdb390678146c2a4d45ccec9fc69
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size 411
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.265548125287219e+18,
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"train_loss": 0.7155859537944672,
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"train_runtime": 2626.1064,
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"train_samples_per_second": 38.212,
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"train_steps_per_second": 1.196
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}
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trainer_state.json
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