🍻 cheers
Browse files- README.md +5 -4
- all_results.json +14 -0
- eval_results.json +9 -0
- runs/Aug19_03-31-49_instance-camaras/events.out.tfevents.1755575582.instance-camaras +3 -0
- train_results.json +8 -0
- trainer_state.json +2612 -0
README.md
CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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license: apache-2.0
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base_model: microsoft/swin-base-simmim-window6-192
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -17,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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# swin-CEMEDE-og
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-
This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on
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It achieves the following results on the evaluation set:
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-
- Loss: 1.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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license: apache-2.0
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base_model: microsoft/swin-base-simmim-window6-192
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tags:
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+
- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# swin-CEMEDE-og
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+
This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on the cemede dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1858
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- Accuracy: 0.6981
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- F1: 0.6559
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## Model description
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all_results.json
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{
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"epoch": 2.4615384615384617,
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"eval_accuracy": 0.6980504041844984,
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"eval_f1": 0.6558579987834274,
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"eval_loss": 1.1857682466506958,
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"eval_runtime": 16.2624,
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"eval_samples_per_second": 129.317,
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"eval_steps_per_second": 16.172,
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"total_flos": 1.4730716562599117e+18,
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"train_loss": 0.7703810732765123,
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"train_runtime": 1237.8817,
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"train_samples_per_second": 41.987,
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"train_steps_per_second": 5.251
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}
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eval_results.json
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{
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"epoch": 2.4615384615384617,
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"eval_accuracy": 0.6980504041844984,
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"eval_f1": 0.6558579987834274,
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"eval_loss": 1.1857682466506958,
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"eval_runtime": 16.2624,
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"eval_samples_per_second": 129.317,
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"eval_steps_per_second": 16.172
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}
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runs/Aug19_03-31-49_instance-camaras/events.out.tfevents.1755575582.instance-camaras
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a258e28142947c28f137ff0297d860502f69ff67c8ab4f5f21240e837873572
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size 40
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train_results.json
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{
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"epoch": 2.4615384615384617,
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"total_flos": 1.4730716562599117e+18,
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"train_loss": 0.7703810732765123,
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"train_runtime": 1237.8817,
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"train_samples_per_second": 41.987,
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"train_steps_per_second": 5.251
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}
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trainer_state.json
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