Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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model-index:
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- name: beit-base-patch16-224_alpha0.7_temp5.0_t3
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# beit-base-patch16-224_alpha0.7_temp5.0_t3
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7440
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- Accuracy: 0.8037
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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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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| 0.5663 | 1.0 | 164 | 1.4230 | 0.2549 |
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| 0.5186 | 2.0 | 328 | 1.2953 | 0.4024 |
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| 0.3841 | 3.0 | 492 | 0.8618 | 0.7289 |
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| 0.3209 | 4.0 | 656 | 0.8259 | 0.7505 |
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| 0.2829 | 5.0 | 820 | 0.7344 | 0.8037 |
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| 0.2556 | 6.0 | 984 | 0.7868 | 0.7939 |
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| 0.2507 | 7.0 | 1148 | 0.7231 | 0.8080 |
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| 0.2438 | 8.0 | 1312 | 0.7640 | 0.7842 |
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| 0.2438 | 9.0 | 1476 | 0.7505 | 0.8048 |
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| 0.2297 | 10.0 | 1640 | 0.7407 | 0.8178 |
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| 0.227 | 11.0 | 1804 | 0.7734 | 0.7993 |
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| 0.2303 | 12.0 | 1968 | 0.7463 | 0.7950 |
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| 0.2221 | 13.0 | 2132 | 0.7577 | 0.7928 |
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| 0.2256 | 14.0 | 2296 | 0.7403 | 0.8124 |
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| 0.2267 | 15.0 | 2460 | 0.7455 | 0.8059 |
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| 0.2222 | 16.0 | 2624 | 0.7406 | 0.8069 |
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| 0.2268 | 17.0 | 2788 | 0.7435 | 0.8102 |
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| 0.2168 | 18.0 | 2952 | 0.7401 | 0.8059 |
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| 0.2224 | 19.0 | 3116 | 0.7402 | 0.8048 |
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| 0.217 | 20.0 | 3280 | 0.7440 | 0.8037 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 355948424
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version https://git-lfs.github.com/spec/v1
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oid sha256:63fbcad357f617a21aca83ed76edf7878c97a631f99b2d6afbd854f182cacc69
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size 355948424
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