Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-finetuned-balanced
+  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. -->
+
+# bert-finetuned-balanced
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8651
+- Accuracy: 0.6333
+
+## 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
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.0534        | 0.1676 | 30   | 0.9162          | 0.5778   |
+| 0.821         | 0.3352 | 60   | 0.8341          | 0.5667   |
+| 0.8791        | 0.5028 | 90   | 0.7851          | 0.5667   |
+| 0.8847        | 0.6704 | 120  | 0.7736          | 0.6667   |
+| 0.8273        | 0.8380 | 150  | 0.7690          | 0.6556   |
+| 0.7989        | 1.0056 | 180  | 0.7653          | 0.6111   |
+| 0.7231        | 1.1732 | 210  | 0.8225          | 0.6667   |
+| 0.7673        | 1.3408 | 240  | 0.7698          | 0.6111   |
+| 0.709         | 1.5084 | 270  | 0.8806          | 0.6      |
+| 0.7077        | 1.6760 | 300  | 0.7960          | 0.6      |
+| 0.6683        | 1.8436 | 330  | 0.8490          | 0.6556   |
+| 0.8022        | 2.0112 | 360  | 0.7545          | 0.6222   |
+| 0.5894        | 2.1788 | 390  | 0.7770          | 0.6222   |
+| 0.6824        | 2.3464 | 420  | 0.7857          | 0.6111   |
+| 0.6207        | 2.5140 | 450  | 0.8809          | 0.6444   |
+| 0.5354        | 2.6816 | 480  | 0.8210          | 0.6667   |
+| 0.5477        | 2.8492 | 510  | 0.8469          | 0.5667   |
+| 0.7838        | 3.0168 | 540  | 0.8597          | 0.6778   |
+| 0.4587        | 3.1844 | 570  | 0.8234          | 0.6667   |
+| 0.413         | 3.3520 | 600  | 0.8538          | 0.6667   |
+| 0.5733        | 3.5196 | 630  | 0.8568          | 0.6556   |
+| 0.5397        | 3.6872 | 660  | 0.8436          | 0.6333   |
+| 0.4786        | 3.8547 | 690  | 0.8106          | 0.6222   |
+| 0.4804        | 4.0223 | 720  | 0.8356          | 0.6222   |
+| 0.4861        | 4.1899 | 750  | 0.8465          | 0.6111   |
+| 0.4289        | 4.3575 | 780  | 0.8480          | 0.6222   |
+| 0.2878        | 4.5251 | 810  | 0.8485          | 0.6333   |
+| 0.3368        | 4.6927 | 840  | 0.8653          | 0.6333   |
+| 0.4615        | 4.8603 | 870  | 0.8651          | 0.6333   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu128
+- Datasets 3.5.1
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a1272fd4e702f8edf3d50b6a583243ee18a33c4bd4e5b35303b2866568b4fb10
+oid sha256:f1e7cb8da053f52a11fbd6d8f2d22acf798190d81055971aadbd5b9f6683250c
 size 437964800

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "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": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}