End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+model-index:
+- name: distilbert-base-uncased-finetuned-cola
+  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. -->
+
+# distilbert-base-uncased-finetuned-cola
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6117
+- Matthews Correlation: 0.5489
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
+| 0.5247        | 1.0   | 535   | 0.4696          | 0.4358               |
+| 0.3581        | 2.0   | 1070  | 0.4678          | 0.5081               |
+| 0.2448        | 3.0   | 1605  | 0.5805          | 0.5089               |
+| 0.1893        | 4.0   | 2140  | 0.7913          | 0.5332               |
+| 0.1452        | 5.0   | 2675  | 0.8406          | 0.5127               |
+| 0.1244        | 6.0   | 3210  | 0.9495          | 0.5406               |
+| 0.1044        | 7.0   | 3745  | 0.9900          | 0.5089               |
+| 0.0767        | 8.0   | 4280  | 1.1411          | 0.5235               |
+| 0.0618        | 9.0   | 4815  | 1.1395          | 0.5181               |
+| 0.0607        | 10.0  | 5350  | 1.2811          | 0.5081               |
+| 0.0617        | 11.0  | 5885  | 1.2854          | 0.5207               |
+| 0.0455        | 12.0  | 6420  | 1.3853          | 0.5174               |
+| 0.0377        | 13.0  | 6955  | 1.5257          | 0.5242               |
+| 0.0308        | 14.0  | 7490  | 1.6128          | 0.5159               |
+| 0.0214        | 15.0  | 8025  | 1.6524          | 0.4882               |
+| 0.0292        | 16.0  | 8560  | 1.4723          | 0.5331               |
+| 0.0269        | 17.0  | 9095  | 1.5875          | 0.5154               |
+| 0.0232        | 18.0  | 9630  | 1.6217          | 0.5171               |
+| 0.0334        | 19.0  | 10165 | 1.5183          | 0.5282               |
+| 0.0247        | 20.0  | 10700 | 1.6117          | 0.5489               |
+| 0.0168        | 21.0  | 11235 | 1.6357          | 0.5452               |
+| 0.0172        | 22.0  | 11770 | 1.7956          | 0.5378               |
+| 0.0187        | 23.0  | 12305 | 1.5658          | 0.5260               |
+| 0.0206        | 24.0  | 12840 | 1.6623          | 0.5246               |
+| 0.0188        | 25.0  | 13375 | 1.8499          | 0.5195               |
+| 0.0096        | 26.0  | 13910 | 1.8293          | 0.5229               |
+| 0.0083        | 27.0  | 14445 | 1.5991          | 0.5403               |
+| 0.0218        | 28.0  | 14980 | 1.8168          | 0.4840               |
+| 0.0096        | 29.0  | 15515 | 1.7009          | 0.5215               |
+| 0.0114        | 30.0  | 16050 | 1.7343          | 0.5426               |
+| 0.0095        | 31.0  | 16585 | 1.8909          | 0.5073               |
+| 0.0094        | 32.0  | 17120 | 1.7644          | 0.5328               |
+| 0.0106        | 33.0  | 17655 | 1.6923          | 0.5348               |
+| 0.0089        | 34.0  | 18190 | 1.9452          | 0.5097               |
+| 0.0075        | 35.0  | 18725 | 1.7923          | 0.5343               |
+| 0.0078        | 36.0  | 19260 | 1.7430          | 0.5365               |
+| 0.0097        | 37.0  | 19795 | 1.8556          | 0.5147               |
+| 0.0058        | 38.0  | 20330 | 1.9414          | 0.5084               |
+| 0.0055        | 39.0  | 20865 | 1.8769          | 0.5400               |
+| 0.0037        | 40.0  | 21400 | 1.9577          | 0.5288               |
+| 0.0035        | 41.0  | 21935 | 2.0144          | 0.5227               |
+| 0.0034        | 42.0  | 22470 | 2.0151          | 0.5150               |
+| 0.0033        | 43.0  | 23005 | 2.0254          | 0.5238               |
+| 0.002         | 44.0  | 23540 | 2.0601          | 0.5262               |
+| 0.0048        | 45.0  | 24075 | 1.9922          | 0.5392               |
+| 0.0054        | 46.0  | 24610 | 2.0499          | 0.5285               |
+| 0.0055        | 47.0  | 25145 | 2.0038          | 0.5466               |
+| 0.0044        | 48.0  | 25680 | 2.0758          | 0.5206               |
+| 0.0033        | 49.0  | 26215 | 2.0514          | 0.5219               |
+| 0.0042        | 50.0  | 26750 | 2.0506          | 0.5245               |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "vocab_size": 30522
+}

model.safetensors

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+size 267832560

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,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5368