📝 Added model card after best checkpoint

README.md

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+---
+library_name: transformers
+base_model: tbs17/MathBERT
+tags:
+- generated_from_trainer
+model-index:
+- name: tbs17-MathBERT-Math-Classifier
+  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. -->
+
+# tbs17-MathBERT-Math-Classifier
+
+This model is a fine-tuned version of [tbs17/MathBERT](https://huggingface.co/tbs17/MathBERT) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9498
+- Micro F1: 0.8411
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Micro F1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.2886        | 1.0   | 1083 | 0.8944          | 0.8051   |
+| 0.8314        | 2.0   | 2166 | 0.8812          | 0.8182   |
+| 0.6888        | 3.0   | 3249 | 0.8701          | 0.8411   |
+| 0.5976        | 4.0   | 4332 | 0.9158          | 0.8352   |
+| 0.5409        | 5.0   | 5415 | 0.9440          | 0.8332   |
+| 0.5081        | 6.0   | 6498 | 0.9423          | 0.8424   |
+| 0.4912        | 7.0   | 7581 | 0.9543          | 0.8417   |
+| 0.4855        | 8.0   | 8664 | 0.9498          | 0.8411   |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0

model.safetensors

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 size 437977104

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}