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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: bart_cause_classifier
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bart_cause_classifier
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2310
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+ - F1: 0.8139
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+ - Accuracy: 0.4022
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | No log | 1.0 | 62 | 0.2882 | 0.7066 | 0.0444 |
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+ | No log | 2.0 | 124 | 0.2538 | 0.7585 | 0.1643 |
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+ | No log | 3.0 | 186 | 0.2338 | 0.7840 | 0.2581 |
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+ | No log | 4.0 | 248 | 0.2202 | 0.8000 | 0.2954 |
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+ | No log | 5.0 | 310 | 0.2218 | 0.7997 | 0.3306 |
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+ | No log | 6.0 | 372 | 0.2146 | 0.8093 | 0.3488 |
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+ | No log | 7.0 | 434 | 0.2157 | 0.8073 | 0.3498 |
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+ | No log | 8.0 | 496 | 0.2146 | 0.8089 | 0.3629 |
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+ | 0.227 | 9.0 | 558 | 0.2223 | 0.8086 | 0.3972 |
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+ | 0.227 | 10.0 | 620 | 0.2215 | 0.8088 | 0.3639 |
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+ | 0.227 | 11.0 | 682 | 0.2191 | 0.8160 | 0.3982 |
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+ | 0.227 | 12.0 | 744 | 0.2227 | 0.8119 | 0.3821 |
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+ | 0.227 | 13.0 | 806 | 0.2293 | 0.8070 | 0.3790 |
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+ | 0.227 | 14.0 | 868 | 0.2310 | 0.8089 | 0.3780 |
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+ | 0.227 | 15.0 | 930 | 0.2267 | 0.8125 | 0.3982 |
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+ | 0.227 | 16.0 | 992 | 0.2275 | 0.8116 | 0.3851 |
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+ | 0.1282 | 17.0 | 1054 | 0.2289 | 0.8150 | 0.4052 |
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+ | 0.1282 | 18.0 | 1116 | 0.2320 | 0.8106 | 0.3891 |
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+ | 0.1282 | 19.0 | 1178 | 0.2321 | 0.8114 | 0.3942 |
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+ | 0.1282 | 20.0 | 1240 | 0.2310 | 0.8139 | 0.4022 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ "_name_or_path": "facebook/bart-base",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForSequenceClassification"
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+ ],
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+ "early_stopping": true,
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+ "encoder_layerdrop": 0.0,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "overall_complaint_0",
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+ "1": "overall_complaint_1",
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+ "2": "Complaint_Accusation",
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+ "3": "Complaint_Blame",
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+ "4": "Complaint_Disapproval",
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+ "5": "Complaint_No explicit reproach",
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+ "6": "Complaint_Non-Complaint",
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+ "7": "Sentiment_negative",
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+ "8": "Sentiment_neutral",
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+ "9": "Sentiment_positive",
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+ "10": "Emotion_anger",
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+ "11": "Emotion_disgust",
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+ "12": "Emotion_fear",
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+ "13": "Emotion_happiness",
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+ "14": "Emotion_other",
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+ "15": "Emotion_sadness",
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+ "16": "Emotion_surprise"
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+ "Emotion_sadness": 15,
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+ "Emotion_surprise": 16,
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+ "Sentiment_negative": 7,
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+ "Sentiment_neutral": 8,
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+ "Sentiment_positive": 9,
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+ "overall_complaint_0": 0,
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+ "overall_complaint_1": 1
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+ },
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.1",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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