Initial model push after training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: math_question_grade_detection
+  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. -->
+
+# math_question_grade_detection
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5515
+- Accuracy: 0.8248
+- Precision: 0.8311
+- Recall: 0.8248
+- F1: 0.8240
+
+## 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: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 850
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.2732 | 50   | 1.4704          | 0.4704   | 0.4864    | 0.4704 | 0.4383 |
+| No log        | 0.5464 | 100  | 1.1159          | 0.5742   | 0.5936    | 0.5742 | 0.5676 |
+| No log        | 0.8197 | 150  | 0.9276          | 0.6441   | 0.6564    | 0.6441 | 0.6391 |
+| No log        | 1.0929 | 200  | 0.7966          | 0.7064   | 0.7146    | 0.7064 | 0.7057 |
+| No log        | 1.3661 | 250  | 0.7308          | 0.7317   | 0.7408    | 0.7317 | 0.7291 |
+| No log        | 1.6393 | 300  | 0.6640          | 0.7571   | 0.7624    | 0.7571 | 0.7560 |
+| No log        | 1.9126 | 350  | 0.5874          | 0.7940   | 0.7975    | 0.7940 | 0.7931 |
+| No log        | 2.1858 | 400  | 0.6288          | 0.7863   | 0.7958    | 0.7863 | 0.7840 |
+| No log        | 2.4590 | 450  | 0.5621          | 0.8055   | 0.8128    | 0.8055 | 0.8048 |
+| 0.8255        | 2.7322 | 500  | 0.5799          | 0.8094   | 0.8181    | 0.8094 | 0.8087 |
+| 0.8255        | 3.0055 | 550  | 0.5560          | 0.7994   | 0.8041    | 0.7994 | 0.7978 |
+| 0.8255        | 3.2787 | 600  | 0.5402          | 0.8301   | 0.8341    | 0.8301 | 0.8305 |
+| 0.8255        | 3.5519 | 650  | 0.5534          | 0.8201   | 0.8287    | 0.8201 | 0.8197 |
+| 0.8255        | 3.8251 | 700  | 0.5439          | 0.8248   | 0.8333    | 0.8248 | 0.8249 |
+| 0.8255        | 4.0984 | 750  | 0.5402          | 0.8248   | 0.8304    | 0.8248 | 0.8244 |
+| 0.8255        | 4.3716 | 800  | 0.5363          | 0.8271   | 0.8309    | 0.8271 | 0.8262 |
+| 0.8255        | 4.6448 | 850  | 0.5515          | 0.8248   | 0.8311    | 0.8248 | 0.8240 |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.2.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "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"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Dec11_11-26-09_ip-10-192-12-207/events.out.tfevents.1733916369.ip-10-192-12-207.190070.0

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training_args.bin

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