Model save
Browse files- README.md +68 -1
- pytorch_model.bin +1 -1
README.md
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---
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license:
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---
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---
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license: apache-2.0
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base_model: microsoft/beit-base-patch16-224
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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: clasificador-de-pesos
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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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# clasificador-de-pesos
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0184
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- Accuracy: 0.9905
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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: 0.0005
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 8
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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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| No log | 0.93 | 7 | 0.5468 | 0.6190 |
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| 1.0237 | 2.0 | 15 | 0.1113 | 0.9619 |
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| 0.5329 | 2.93 | 22 | 0.0462 | 0.9714 |
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| 0.335 | 4.0 | 30 | 0.0151 | 1.0 |
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| 0.3359 | 4.93 | 37 | 0.1429 | 0.9429 |
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| 0.2794 | 6.0 | 45 | 0.0606 | 0.9619 |
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| 0.2937 | 6.93 | 52 | 0.0159 | 0.9905 |
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| 0.249 | 7.47 | 56 | 0.0184 | 0.9905 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 343127558
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version https://git-lfs.github.com/spec/v1
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oid sha256:998d2c3e6f94f1a1521243f22458438b173aa8ec5244bd6a4e6bf199c763d063
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size 343127558
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