Model save
Browse files- README.md +24 -11
- all_results.json +8 -0
- model.safetensors +1 -1
- runs/Apr26_01-09-42_fe7d46d3b18e/events.out.tfevents.1714093804.fe7d46d3b18e.21275.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +704 -0
- training_args.bin +1 -1
README.md
CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 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: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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### Framework versions
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3787
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- Accuracy: 0.9076
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.7236 | 0.4651 | 100 | 0.6396 | 0.8102 |
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| 0.7243 | 0.9302 | 200 | 0.5124 | 0.8333 |
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| 0.4288 | 1.3953 | 300 | 0.4514 | 0.8630 |
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| 0.5744 | 1.8605 | 400 | 0.6154 | 0.8102 |
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| 0.4077 | 2.3256 | 500 | 0.4612 | 0.8614 |
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| 0.496 | 2.7907 | 600 | 0.4359 | 0.8729 |
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| 0.3446 | 3.2558 | 700 | 0.4276 | 0.8696 |
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| 0.3347 | 3.7209 | 800 | 0.4259 | 0.8795 |
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| 0.3868 | 4.1860 | 900 | 0.4642 | 0.8548 |
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| 0.36 | 4.6512 | 1000 | 0.4242 | 0.8696 |
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| 0.295 | 5.1163 | 1100 | 0.4204 | 0.8812 |
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| 0.2342 | 5.5814 | 1200 | 0.3933 | 0.8911 |
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| 0.1629 | 6.0465 | 1300 | 0.3634 | 0.8977 |
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| 0.2041 | 6.5116 | 1400 | 0.4007 | 0.8911 |
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| 0.1668 | 6.9767 | 1500 | 0.3843 | 0.8927 |
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| 0.0976 | 7.4419 | 1600 | 0.4062 | 0.8927 |
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| 0.1275 | 7.9070 | 1700 | 0.3861 | 0.8894 |
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| 0.1063 | 8.3721 | 1800 | 0.4011 | 0.8911 |
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| 0.1658 | 8.8372 | 1900 | 0.3840 | 0.9043 |
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| 0.1 | 9.3023 | 2000 | 0.3873 | 0.9010 |
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| 0.1045 | 9.7674 | 2100 | 0.3787 | 0.9076 |
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### Framework versions
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 1.0638481718004941e+18,
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"train_loss": 0.4333847167880036,
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"train_runtime": 591.3634,
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"train_samples_per_second": 23.214,
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"train_steps_per_second": 1.454
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 343236280
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version https://git-lfs.github.com/spec/v1
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oid sha256:26e215444bbd66d8ee275069d4f23c942f375f29a375e9b90a1b9b075b93c014
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size 343236280
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runs/Apr26_01-09-42_fe7d46d3b18e/events.out.tfevents.1714093804.fe7d46d3b18e.21275.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d56bc83735dab2375b59c81c968ce11821ba7e686a5cf1bc4685725a1917639
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size 57302
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 1.0638481718004941e+18,
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"train_loss": 0.4333847167880036,
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"train_runtime": 591.3634,
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"train_samples_per_second": 23.214,
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"train_steps_per_second": 1.454
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}
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trainer_state.json
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