trungpq/slac-appearance

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: appearance
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# appearance
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6381
+- Accuracy: 0.9725
+- F1 Macro: 0.9510
+- Precision Macro: 0.9484
+- Recall Macro: 0.9537
+- Total Tf: [1558, 44, 1558, 44]
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 212
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf             |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------------------:|
+| 0.2724        | 1.0   | 213  | 0.2590          | 0.9588   | 0.9294   | 0.9118          | 0.9499       | [1536, 66, 1536, 66] |
+| 0.2408        | 2.0   | 426  | 0.1592          | 0.9719   | 0.9518   | 0.9338          | 0.9727       | [1557, 45, 1557, 45] |
+| 0.0874        | 3.0   | 639  | 0.2457          | 0.9682   | 0.9446   | 0.9320          | 0.9585       | [1551, 51, 1551, 51] |
+| 0.0554        | 4.0   | 852  | 0.2417          | 0.9700   | 0.9484   | 0.9320          | 0.9671       | [1554, 48, 1554, 48] |
+| 0.0369        | 5.0   | 1065 | 0.4010          | 0.9738   | 0.9531   | 0.9518          | 0.9544       | [1560, 42, 1560, 42] |
+| 0.0421        | 6.0   | 1278 | 0.4548          | 0.9757   | 0.9564   | 0.9557          | 0.9571       | [1563, 39, 1563, 39] |
+| 0.0449        | 7.0   | 1491 | 0.5434          | 0.9763   | 0.9570   | 0.9613          | 0.9530       | [1564, 38, 1564, 38] |
+| 0.0336        | 8.0   | 1704 | 0.6023          | 0.9732   | 0.9515   | 0.9549          | 0.9481       | [1559, 43, 1559, 43] |
+| 0.0175        | 9.0   | 1917 | 0.5159          | 0.9725   | 0.9511   | 0.9472          | 0.9552       | [1558, 44, 1558, 44] |
+| 0.0061        | 10.0  | 2130 | 0.6394          | 0.9732   | 0.9516   | 0.9537          | 0.9496       | [1559, 43, 1559, 43] |
+| 0.0016        | 11.0  | 2343 | 0.4762          | 0.9732   | 0.9523   | 0.9478          | 0.9570       | [1559, 43, 1559, 43] |
+| 0.0246        | 12.0  | 2556 | 0.5617          | 0.9744   | 0.9544   | 0.9511          | 0.9578       | [1561, 41, 1561, 41] |
+| 0.0101        | 13.0  | 2769 | 0.6450          | 0.9738   | 0.9531   | 0.9518          | 0.9544       | [1560, 42, 1560, 42] |
+| 0.0004        | 14.0  | 2982 | 0.6274          | 0.9725   | 0.9510   | 0.9484          | 0.9537       | [1558, 44, 1558, 44] |
+| 0.0049        | 15.0  | 3195 | 0.6381          | 0.9725   | 0.9510   | 0.9484          | 0.9537       | [1558, 44, 1558, 44] |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "architectures": [
+    "BERTModel"
+  ],
+  "model_type": "bert_model",
+  "num_classes": 1,
+  "pos_weight": 5.13086642599278,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0"
+}

model.safetensors

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+oid sha256:971906ef8f17519fcc6c8091b69b66756dc5d59cfea68fdc7822f28a828f9c0d
+size 437955648

training_args.bin

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