End of training

README.md

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+---
+base_model: SpanBERT/spanbert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: aspect_complaint_spanbert
+  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. -->
+
+# aspect_complaint_spanbert
+
+This model is a fine-tuned version of [SpanBERT/spanbert-large-cased](https://huggingface.co/SpanBERT/spanbert-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2032
+- F1: 0.8368
+- Roc Auc: 0.8935
+- Accuracy: 0.5292
+
+## 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: 48
+- eval_batch_size: 48
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 97   | 0.2810          | 0.6988 | 0.7718  | 0.0      |
+| No log        | 2.0   | 194  | 0.2209          | 0.7688 | 0.8260  | 0.2577   |
+| No log        | 3.0   | 291  | 0.2017          | 0.7958 | 0.8477  | 0.3565   |
+| No log        | 4.0   | 388  | 0.1882          | 0.8120 | 0.8678  | 0.4184   |
+| No log        | 5.0   | 485  | 0.1773          | 0.8272 | 0.8693  | 0.4416   |
+| 0.2417        | 6.0   | 582  | 0.1732          | 0.8262 | 0.8792  | 0.4811   |
+| 0.2417        | 7.0   | 679  | 0.1719          | 0.8331 | 0.8795  | 0.4759   |
+| 0.2417        | 8.0   | 776  | 0.1722          | 0.8341 | 0.8814  | 0.5017   |
+| 0.2417        | 9.0   | 873  | 0.1797          | 0.8347 | 0.8818  | 0.4923   |
+| 0.2417        | 10.0  | 970  | 0.1856          | 0.8328 | 0.8859  | 0.5112   |
+| 0.1287        | 11.0  | 1067 | 0.1866          | 0.8343 | 0.8868  | 0.5275   |
+| 0.1287        | 12.0  | 1164 | 0.1868          | 0.8378 | 0.8898  | 0.5258   |
+| 0.1287        | 13.0  | 1261 | 0.1923          | 0.8322 | 0.8864  | 0.5120   |
+| 0.1287        | 14.0  | 1358 | 0.1916          | 0.8400 | 0.8929  | 0.5387   |
+| 0.1287        | 15.0  | 1455 | 0.1975          | 0.8368 | 0.8919  | 0.5421   |
+| 0.0781        | 16.0  | 1552 | 0.1974          | 0.8403 | 0.8951  | 0.5369   |
+| 0.0781        | 17.0  | 1649 | 0.2022          | 0.8329 | 0.8911  | 0.5241   |
+| 0.0781        | 18.0  | 1746 | 0.2012          | 0.8360 | 0.8921  | 0.5284   |
+| 0.0781        | 19.0  | 1843 | 0.2027          | 0.8367 | 0.8936  | 0.5335   |
+| 0.0781        | 20.0  | 1940 | 0.2032          | 0.8368 | 0.8935  | 0.5292   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "SpanBERT/spanbert-large-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Over-all_Complaint Label",
+    "1": "provider_response",
+    "2": "misc_info",
+    "3": "credential_error",
+    "4": "net_banking_issue",
+    "5": "consumer_safety",
+    "6": "review",
+    "7": "no_aspects",
+    "8": "general_query",
+    "9": "financial_situation",
+    "10": "financial_info",
+    "11": "Complaint",
+    "12": "Non Complaint"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Complaint": 11,
+    "Non Complaint": 12,
+    "Over-all_Complaint Label": 0,
+    "consumer_safety": 5,
+    "credential_error": 3,
+    "financial_info": 10,
+    "financial_situation": 9,
+    "general_query": 8,
+    "misc_info": 2,
+    "net_banking_issue": 4,
+    "no_aspects": 7,
+    "provider_response": 1,
+    "review": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

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special_tokens_map.json

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tokenizer_config.json

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+}

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