Model save
Browse files- README.md +1 -1
- all_results.json +8 -0
- runs/Nov15_09-49-44_26911715db76/events.out.tfevents.1763201248.26911715db76.2430.1 +3 -0
- test_results.json +8 -0
- trainer_state.json +137 -0
README.md
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This model is a fine-tuned version of [OpenGVLab/VideoMAEv2-Base](https://huggingface.co/OpenGVLab/VideoMAEv2-Base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 1.0
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## Model description
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This model is a fine-tuned version of [OpenGVLab/VideoMAEv2-Base](https://huggingface.co/OpenGVLab/VideoMAEv2-Base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4690
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- Accuracy: 1.0
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## Model description
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all_results.json
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{
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"epoch": 3.2083333333333335,
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"eval_accuracy": 1.0,
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"eval_loss": 0.4690203368663788,
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"eval_runtime": 53.9134,
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"eval_samples_per_second": 2.875,
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"eval_steps_per_second": 0.185
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}
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runs/Nov15_09-49-44_26911715db76/events.out.tfevents.1763201248.26911715db76.2430.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ead58b2c4d131c9c02dccd68faacc3a9db079c7e1a37ba823262a2a528e91201
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size 405
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test_results.json
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{
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"epoch": 3.2083333333333335,
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"eval_accuracy": 1.0,
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"eval_loss": 0.4690203368663788,
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"eval_runtime": 53.9134,
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"eval_samples_per_second": 2.875,
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"eval_steps_per_second": 0.185
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}
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trainer_state.json
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