End of 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
+model-index:
+- name: absa-restaurants-bert-base-uncased
+  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. -->
+
+# absa-restaurants-bert-base-uncased
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7275
+- Accuracy: 0.8790
+
+## 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: 256
+- eval_batch_size: 256
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2396        | 1.0   | 23   | 0.4017          | 0.8679   |
+| 0.1873        | 2.0   | 46   | 0.4208          | 0.8714   |
+| 0.1489        | 3.0   | 69   | 0.4428          | 0.8679   |
+| 0.1123        | 4.0   | 92   | 0.4690          | 0.8721   |
+| 0.0867        | 5.0   | 115  | 0.5119          | 0.8776   |
+| 0.0672        | 6.0   | 138  | 0.5222          | 0.8741   |
+| 0.0753        | 7.0   | 161  | 0.5781          | 0.8721   |
+| 0.0732        | 8.0   | 184  | 0.5416          | 0.8672   |
+| 0.0589        | 9.0   | 207  | 0.5674          | 0.8769   |
+| 0.0507        | 10.0  | 230  | 0.5819          | 0.8734   |
+| 0.0466        | 11.0  | 253  | 0.5871          | 0.8769   |
+| 0.0452        | 12.0  | 276  | 0.5818          | 0.8797   |
+| 0.0444        | 13.0  | 299  | 0.6002          | 0.8783   |
+| 0.0376        | 14.0  | 322  | 0.5886          | 0.8714   |
+| 0.0315        | 15.0  | 345  | 0.5846          | 0.8790   |
+| 0.0295        | 16.0  | 368  | 0.6067          | 0.8693   |
+| 0.0292        | 17.0  | 391  | 0.6186          | 0.8734   |
+| 0.0226        | 18.0  | 414  | 0.6222          | 0.8783   |
+| 0.0305        | 19.0  | 437  | 0.6400          | 0.8734   |
+| 0.0245        | 20.0  | 460  | 0.6544          | 0.8721   |
+| 0.0241        | 21.0  | 483  | 0.6438          | 0.8748   |
+| 0.0208        | 22.0  | 506  | 0.6512          | 0.8734   |
+| 0.0225        | 23.0  | 529  | 0.6580          | 0.8748   |
+| 0.0215        | 24.0  | 552  | 0.6401          | 0.8790   |
+| 0.019         | 25.0  | 575  | 0.6705          | 0.8679   |
+| 0.0197        | 26.0  | 598  | 0.6809          | 0.8769   |
+| 0.0192        | 27.0  | 621  | 0.6569          | 0.8748   |
+| 0.0182        | 28.0  | 644  | 0.6763          | 0.8748   |
+| 0.0173        | 29.0  | 667  | 0.6846          | 0.8790   |
+| 0.0151        | 30.0  | 690  | 0.7100          | 0.8776   |
+| 0.0171        | 31.0  | 713  | 0.6979          | 0.8748   |
+| 0.0185        | 32.0  | 736  | 0.6947          | 0.8762   |
+| 0.0161        | 33.0  | 759  | 0.6979          | 0.8755   |
+| 0.0169        | 34.0  | 782  | 0.7015          | 0.8741   |
+| 0.0158        | 35.0  | 805  | 0.7085          | 0.8804   |
+| 0.0144        | 36.0  | 828  | 0.7080          | 0.8776   |
+| 0.0138        | 37.0  | 851  | 0.7070          | 0.8797   |
+| 0.0145        | 38.0  | 874  | 0.7088          | 0.8776   |
+| 0.0154        | 39.0  | 897  | 0.7177          | 0.8755   |
+| 0.0159        | 40.0  | 920  | 0.7217          | 0.8776   |
+| 0.0154        | 41.0  | 943  | 0.7165          | 0.8762   |
+| 0.013         | 42.0  | 966  | 0.7222          | 0.8783   |
+| 0.0142        | 43.0  | 989  | 0.7190          | 0.8776   |
+| 0.0143        | 44.0  | 1012 | 0.7207          | 0.8762   |
+| 0.0123        | 45.0  | 1035 | 0.7256          | 0.8762   |
+| 0.013         | 46.0  | 1058 | 0.7291          | 0.8790   |
+| 0.0135        | 47.0  | 1081 | 0.7276          | 0.8797   |
+| 0.012         | 48.0  | 1104 | 0.7286          | 0.8797   |
+| 0.0135        | 49.0  | 1127 | 0.7278          | 0.8783   |
+| 0.0139        | 50.0  | 1150 | 0.7275          | 0.8790   |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- 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": "neutral",
+    "1": "negative",
+    "2": "positive",
+    "3": "conflict",
+    "4": "none"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "conflict": 3,
+    "negative": 1,
+    "neutral": 0,
+    "none": 4,
+    "positive": 2
+  },
+  "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/Mar21_06-03-33_da50f1b0fb17/events.out.tfevents.1742537017.da50f1b0fb17.31.0

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runs/Mar21_06-08-13_da50f1b0fb17/events.out.tfevents.1742537296.da50f1b0fb17.31.1

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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": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "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": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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