End of training

README.md

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+---
+library_name: transformers
+base_model: huawei-noah/TinyBERT_General_4L_312D
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: Structured-NF4-KD-NID
+  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. -->
+
+# Structured-NF4-KD-NID
+
+This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0384
+- Accuracy: 0.9923
+- Precision: 0.9796
+- Recall: 0.9374
+- F1 score: 0.9470
+
+## 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: 5e-05
+- train_batch_size: 650
+- eval_batch_size: 650
+- 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
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1 score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.217         | 1.0   | 1828  | 0.1859          | 0.9775   | 0.7808    | 0.7811 | 0.7797   |
+| 0.1295        | 2.0   | 3656  | 0.1142          | 0.9844   | 0.9142    | 0.8421 | 0.8404   |
+| 0.0958        | 3.0   | 5484  | 0.0916          | 0.9864   | 0.9136    | 0.8662 | 0.8699   |
+| 0.0846        | 4.0   | 7312  | 0.0779          | 0.9882   | 0.9207    | 0.8902 | 0.8953   |
+| 0.0683        | 5.0   | 9140  | 0.0677          | 0.9894   | 0.9246    | 0.9034 | 0.9073   |
+| 0.07          | 6.0   | 10968 | 0.0599          | 0.9899   | 0.9259    | 0.9103 | 0.9118   |
+| 0.0574        | 7.0   | 12796 | 0.0555          | 0.9904   | 0.9284    | 0.9097 | 0.9156   |
+| 0.0503        | 8.0   | 14624 | 0.0541          | 0.9906   | 0.9211    | 0.9185 | 0.9162   |
+| 0.048         | 9.0   | 16452 | 0.0498          | 0.9911   | 0.9318    | 0.9185 | 0.9217   |
+| 0.0479        | 10.0  | 18280 | 0.0483          | 0.9912   | 0.9353    | 0.9178 | 0.9232   |
+| 0.0452        | 11.0  | 20108 | 0.0467          | 0.9914   | 0.9264    | 0.9233 | 0.9213   |
+| 0.042         | 12.0  | 21936 | 0.0437          | 0.9917   | 0.9331    | 0.9211 | 0.9244   |
+| 0.038         | 13.0  | 23764 | 0.0426          | 0.9918   | 0.9782    | 0.9282 | 0.9366   |
+| 0.0358        | 14.0  | 25592 | 0.0414          | 0.9919   | 0.9359    | 0.9226 | 0.9253   |
+| 0.0351        | 15.0  | 27420 | 0.0417          | 0.9920   | 0.9785    | 0.9288 | 0.9370   |
+| 0.0319        | 16.0  | 29248 | 0.0404          | 0.9921   | 0.9768    | 0.9437 | 0.9518   |
+| 0.0302        | 17.0  | 31076 | 0.0391          | 0.9922   | 0.9789    | 0.9319 | 0.9386   |
+| 0.0319        | 18.0  | 32904 | 0.0383          | 0.9922   | 0.9801    | 0.9428 | 0.9533   |
+| 0.0265        | 19.0  | 34732 | 0.0383          | 0.9923   | 0.9802    | 0.9436 | 0.9542   |
+| 0.0277        | 20.0  | 36560 | 0.0384          | 0.9923   | 0.9796    | 0.9374 | 0.9470   |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "attention_probs_dropout_prob": 0.1,
+  "cell": {},
+  "dim": 312,
+  "dropout": 0.1,
+  "emb_size": 312,
+  "hidden_act": "gelu",
+  "hidden_dim": 3072,
+  "hidden_dropout_prob": 0.1,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
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+    "16": "LABEL_16",
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+    "20": "LABEL_20",
+    "21": "LABEL_21",
+    "22": "LABEL_22",
+    "23": "LABEL_23"
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+  "initializer_range": 0.02,
+  "intermediate_size": 1200,
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+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 4,
+  "pad_token_id": 0,
+  "pre_trained": "",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "structure": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

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training_args.bin

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