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-FP16-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-FP16-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: 0.0343
+- Accuracy: 0.9926
+- Precision: 0.9546
+- Recall: 0.9514
+- F1 score: 0.9515
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.1509        | 1.0   | 1828  | 0.1228          | 0.9830   | 0.8658    | 0.8392 | 0.8343   |
+| 0.0961        | 2.0   | 3656  | 0.0884          | 0.9865   | 0.9110    | 0.8672 | 0.8652   |
+| 0.0812        | 3.0   | 5484  | 0.0763          | 0.9879   | 0.9152    | 0.8869 | 0.8882   |
+| 0.073         | 4.0   | 7312  | 0.0650          | 0.9889   | 0.9252    | 0.8966 | 0.9007   |
+| 0.0605        | 5.0   | 9140  | 0.0568          | 0.9897   | 0.9272    | 0.9026 | 0.9075   |
+| 0.0571        | 6.0   | 10968 | 0.0516          | 0.9902   | 0.9131    | 0.9202 | 0.9156   |
+| 0.0487        | 7.0   | 12796 | 0.0460          | 0.9909   | 0.9282    | 0.9228 | 0.9247   |
+| 0.045         | 8.0   | 14624 | 0.0471          | 0.9907   | 0.9219    | 0.9208 | 0.9196   |
+| 0.0396        | 9.0   | 16452 | 0.0443          | 0.9910   | 0.9279    | 0.9253 | 0.9258   |
+| 0.0409        | 10.0  | 18280 | 0.0422          | 0.9913   | 0.9269    | 0.9315 | 0.9288   |
+| 0.0366        | 11.0  | 20108 | 0.0397          | 0.9916   | 0.9264    | 0.9359 | 0.9308   |
+| 0.037         | 12.0  | 21936 | 0.0387          | 0.9919   | 0.9336    | 0.9307 | 0.9308   |
+| 0.0367        | 13.0  | 23764 | 0.0374          | 0.9921   | 0.9317    | 0.9340 | 0.9320   |
+| 0.0315        | 14.0  | 25592 | 0.0379          | 0.9921   | 0.9313    | 0.9376 | 0.9338   |
+| 0.0325        | 15.0  | 27420 | 0.0353          | 0.9925   | 0.9319    | 0.9389 | 0.9349   |
+| 0.0299        | 16.0  | 29248 | 0.0351          | 0.9924   | 0.9324    | 0.9376 | 0.9347   |
+| 0.028         | 17.0  | 31076 | 0.0350          | 0.9924   | 0.9426    | 0.9462 | 0.9424   |
+| 0.0303        | 18.0  | 32904 | 0.0347          | 0.9926   | 0.9541    | 0.9494 | 0.9501   |
+| 0.0255        | 19.0  | 34732 | 0.0345          | 0.9926   | 0.9520    | 0.9501 | 0.9501   |
+| 0.0259        | 20.0  | 36560 | 0.0343          | 0.9926   | 0.9546    | 0.9514 | 0.9515   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

config.json

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+{
+  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
+  "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",
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+    "9": "LABEL_9",
+    "10": "LABEL_10",
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+    "20": "LABEL_20",
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+    "22": "LABEL_22",
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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": "4.49.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model.safetensors

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training_args.bin

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