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_temp3.0
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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_temp3.0
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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: 0.5123
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- Accuracy: 0.8429
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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: 64
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- eval_batch_size: 64
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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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| 1.1161 | 1.0 | 90 | 1.3958 | 0.3034 |
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| 0.8866 | 2.0 | 180 | 0.9934 | 0.5830 |
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| 0.5473 | 3.0 | 270 | 0.6915 | 0.7451 |
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| 0.4068 | 4.0 | 360 | 0.6147 | 0.7836 |
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| 0.2803 | 5.0 | 450 | 0.5613 | 0.8132 |
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| 0.232 | 6.0 | 540 | 0.5583 | 0.8073 |
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| 0.2132 | 7.0 | 630 | 0.5762 | 0.8103 |
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| 0.1911 | 8.0 | 720 | 0.5657 | 0.8192 |
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| 0.1705 | 9.0 | 810 | 0.5529 | 0.8103 |
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| 0.1603 | 10.0 | 900 | 0.5434 | 0.8172 |
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| 0.1553 | 11.0 | 990 | 0.5209 | 0.8221 |
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| 0.1475 | 12.0 | 1080 | 0.5409 | 0.8182 |
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| 0.1446 | 13.0 | 1170 | 0.5163 | 0.8340 |
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| 0.1316 | 14.0 | 1260 | 0.5329 | 0.8251 |
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| 0.1317 | 15.0 | 1350 | 0.5183 | 0.8389 |
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| 0.1284 | 16.0 | 1440 | 0.5082 | 0.8409 |
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| 0.1221 | 17.0 | 1530 | 0.5179 | 0.8389 |
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| 0.1204 | 18.0 | 1620 | 0.5164 | 0.8370 |
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| 0.1192 | 19.0 | 1710 | 0.5117 | 0.8439 |
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| 0.1167 | 20.0 | 1800 | 0.5123 | 0.8429 |
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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 356800920
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc3e6d9941055597b08084fb0ddf23fa288337d5d8052f7a13acb241020bf408
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size 356800920
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