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riconoscimento_documenti_2

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  1. README.md +112 -0
  2. model.safetensors +1 -1
  3. runs/Mar04_19-36-21_9996a0358003/events.out.tfevents.1709580981.9996a0358003.916.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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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: riconoscimento_documenti_2
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+ results: []
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+ ---
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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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+
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+ # riconoscimento_documenti_2
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+
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+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Accuracy: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - 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: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 6 | 1.7741 | 0.1327 |
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+ | 1.7625 | 2.0 | 12 | 1.4336 | 0.5174 |
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+ | 1.7625 | 3.0 | 18 | 0.9371 | 0.8043 |
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+ | 1.2151 | 4.0 | 24 | 0.3147 | 0.9973 |
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+ | 0.3313 | 5.0 | 30 | 0.0508 | 1.0 |
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+ | 0.3313 | 6.0 | 36 | 0.0072 | 1.0 |
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+ | 0.0381 | 7.0 | 42 | 0.0051 | 1.0 |
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+ | 0.0381 | 8.0 | 48 | 0.0054 | 0.9987 |
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+ | 0.0204 | 9.0 | 54 | 0.0018 | 1.0 |
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+ | 0.0303 | 10.0 | 60 | 0.0019 | 0.9987 |
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+ | 0.0303 | 11.0 | 66 | 0.0018 | 0.9987 |
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+ | 0.0164 | 12.0 | 72 | 0.0011 | 1.0 |
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+ | 0.0164 | 13.0 | 78 | 0.0050 | 0.9987 |
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+ | 0.0134 | 14.0 | 84 | 0.0039 | 0.9987 |
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+ | 0.0194 | 15.0 | 90 | 0.0007 | 1.0 |
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+ | 0.0194 | 16.0 | 96 | 0.0006 | 1.0 |
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+ | 0.0053 | 17.0 | 102 | 0.0001 | 1.0 |
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+ | 0.0053 | 18.0 | 108 | 0.0010 | 1.0 |
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+ | 0.0055 | 19.0 | 114 | 0.0011 | 0.9987 |
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+ | 0.0089 | 20.0 | 120 | 0.0007 | 1.0 |
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+ | 0.0089 | 21.0 | 126 | 0.0001 | 1.0 |
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+ | 0.0051 | 22.0 | 132 | 0.0001 | 1.0 |
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+ | 0.0051 | 23.0 | 138 | 0.0019 | 1.0 |
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+ | 0.0254 | 24.0 | 144 | 0.0001 | 1.0 |
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+ | 0.005 | 25.0 | 150 | 0.0001 | 1.0 |
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+ | 0.005 | 26.0 | 156 | 0.0000 | 1.0 |
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+ | 0.0061 | 27.0 | 162 | 0.0002 | 1.0 |
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+ | 0.0061 | 28.0 | 168 | 0.0001 | 1.0 |
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+ | 0.0042 | 29.0 | 174 | 0.0001 | 1.0 |
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+ | 0.0072 | 30.0 | 180 | 0.0006 | 1.0 |
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+ | 0.0072 | 31.0 | 186 | 0.0001 | 1.0 |
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+ | 0.0027 | 32.0 | 192 | 0.0001 | 1.0 |
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+ | 0.0027 | 33.0 | 198 | 0.0001 | 1.0 |
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+ | 0.0049 | 34.0 | 204 | 0.0001 | 1.0 |
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+ | 0.0104 | 35.0 | 210 | 0.0005 | 1.0 |
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+ | 0.0104 | 36.0 | 216 | 0.0002 | 1.0 |
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+ | 0.0059 | 37.0 | 222 | 0.0001 | 1.0 |
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+ | 0.0059 | 38.0 | 228 | 0.0002 | 1.0 |
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+ | 0.0257 | 39.0 | 234 | 0.0000 | 1.0 |
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+ | 0.0051 | 40.0 | 240 | 0.0000 | 1.0 |
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+ | 0.0051 | 41.0 | 246 | 0.0000 | 1.0 |
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+ | 0.0008 | 42.0 | 252 | 0.0000 | 1.0 |
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+ | 0.0008 | 43.0 | 258 | 0.0000 | 1.0 |
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+ | 0.0071 | 44.0 | 264 | 0.0000 | 1.0 |
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+ | 0.0045 | 45.0 | 270 | 0.0000 | 1.0 |
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+ | 0.0045 | 46.0 | 276 | 0.0000 | 1.0 |
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+ | 0.0004 | 47.0 | 282 | 0.0000 | 1.0 |
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+ | 0.0004 | 48.0 | 288 | 0.0000 | 1.0 |
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+ | 0.0009 | 49.0 | 294 | 0.0000 | 1.0 |
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+ | 0.0046 | 50.0 | 300 | 0.0000 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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