End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: slac-single-head
+  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. -->
+
+# slac-single-head
+
+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: 0.2427
+- Accuracy: 0.9493
+- F1 Macro: 0.9026
+- Precision Macro: 0.8893
+- Recall Macro: 0.9182
+- Total Tf: [938, 215, 5145, 110]
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 424
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf              |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:---------------------:|
+| 0.3241        | 1.0   | 425  | 0.3027          | 0.9203   | 0.8632   | 0.8415          | 0.9114       | [961, 424, 4936, 87]  |
+| 0.267         | 2.0   | 850  | 0.2239          | 0.9494   | 0.9047   | 0.8951          | 0.9214       | [956, 232, 5128, 92]  |
+| 0.1973        | 3.0   | 1275 | 0.2265          | 0.9521   | 0.9061   | 0.8995          | 0.9140       | [932, 191, 5169, 116] |
+| 0.1418        | 4.0   | 1700 | 0.2320          | 0.9476   | 0.9018   | 0.8855          | 0.9219       | [953, 241, 5119, 95]  |
+| 0.1222        | 5.0   | 2125 | 0.2427          | 0.9493   | 0.9026   | 0.8893          | 0.9182       | [938, 215, 5145, 110] |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.8.0.dev20250515+cu128
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "BERTModel"
+  ],
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "model_type": "bert_model_multi_label",
+  "pos_weight": [
+    3.0,
+    3.0,
+    3.0,
+    2.8530913216108904
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.1"
+}

model.safetensors

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+oid sha256:6490c6c13481a256fc319a82977d74f41c362f3ee11274c1c9c9b842e4ed4d9b
+size 437964888

training_args.bin

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+size 5777