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-patch16-384_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-patch16-384_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: 0.7220
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- Accuracy: 0.8221
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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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| 0.5656 | 1.0 | 164 | 1.4241 | 0.2614 |
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| 0.5188 | 2.0 | 328 | 1.2839 | 0.4295 |
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| 0.3829 | 3.0 | 492 | 0.8952 | 0.7245 |
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| 0.3272 | 4.0 | 656 | 0.8815 | 0.7104 |
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| 0.2941 | 5.0 | 820 | 0.7334 | 0.8004 |
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| 0.2671 | 6.0 | 984 | 0.7653 | 0.7885 |
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| 0.2569 | 7.0 | 1148 | 0.7095 | 0.8275 |
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| 0.2483 | 8.0 | 1312 | 0.7406 | 0.8232 |
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| 0.2464 | 9.0 | 1476 | 0.7520 | 0.8178 |
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| 0.2312 | 10.0 | 1640 | 0.7327 | 0.8395 |
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| 0.229 | 11.0 | 1804 | 0.7744 | 0.7961 |
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| 0.2326 | 12.0 | 1968 | 0.7301 | 0.8167 |
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| 0.2245 | 13.0 | 2132 | 0.7387 | 0.8145 |
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| 0.2291 | 14.0 | 2296 | 0.7217 | 0.8243 |
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| 0.2282 | 15.0 | 2460 | 0.7337 | 0.8059 |
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| 0.2236 | 16.0 | 2624 | 0.7246 | 0.8189 |
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| 0.2276 | 17.0 | 2788 | 0.7214 | 0.8243 |
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| 0.2178 | 18.0 | 2952 | 0.7251 | 0.8178 |
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| 0.2235 | 19.0 | 3116 | 0.7220 | 0.8232 |
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| 0.2175 | 20.0 | 3280 | 0.7220 | 0.8221 |
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 356800920
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1bcf28e32835816dcd432051d1aa145190d7855d3cf3b35d5308429bbe6ba31
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size 356800920
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