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multi-label-class-classification-on-github-issues

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Duplicate from Rami/multi-label-class-classification-on-github-issues

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: multi-label-class-classification-on-github-issues
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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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+ # multi-label-class-classification-on-github-issues
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+
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+ This model is a fine-tuned version of [neuralmagic/oBERT-12-upstream-pruned-unstructured-97](https://huggingface.co/neuralmagic/oBERT-12-upstream-pruned-unstructured-97) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1077
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+ - Micro f1: 0.6520
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+ - Macro f1: 0.0704
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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: 3e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 8
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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: 30
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | No log | 1.0 | 49 | 0.2835 | 0.3791 | 0.0172 |
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+ | No log | 2.0 | 98 | 0.1710 | 0.3791 | 0.0172 |
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+ | No log | 3.0 | 147 | 0.1433 | 0.3791 | 0.0172 |
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+ | No log | 4.0 | 196 | 0.1333 | 0.4540 | 0.0291 |
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+ | No log | 5.0 | 245 | 0.1247 | 0.5206 | 0.0352 |
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+ | No log | 6.0 | 294 | 0.1173 | 0.6003 | 0.0541 |
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+ | No log | 7.0 | 343 | 0.1125 | 0.6315 | 0.0671 |
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+ | No log | 8.0 | 392 | 0.1095 | 0.6439 | 0.0699 |
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+ | No log | 9.0 | 441 | 0.1072 | 0.6531 | 0.0713 |
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+ | No log | 10.0 | 490 | 0.1075 | 0.6397 | 0.0695 |
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+ | 0.1605 | 11.0 | 539 | 0.1074 | 0.6591 | 0.0711 |
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+ | 0.1605 | 12.0 | 588 | 0.1043 | 0.6462 | 0.0703 |
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+ | 0.1605 | 13.0 | 637 | 0.1049 | 0.6541 | 0.0709 |
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+ | 0.1605 | 14.0 | 686 | 0.1051 | 0.6524 | 0.0713 |
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+ | 0.1605 | 15.0 | 735 | 0.1061 | 0.6535 | 0.0770 |
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+ | 0.1605 | 16.0 | 784 | 0.1034 | 0.6511 | 0.0708 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.1
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+ - Pytorch 1.13.0+cu116
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+ - Datasets 2.8.0
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+ - Tokenizers 0.13.2
config.json ADDED
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+ {
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+ "_name_or_path": "neuralmagic/oBERT-12-upstream-pruned-unstructured-97",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "3rd party",
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+ "1": "accelerator: tpu",
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+ "2": "breaking change",
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+ "4": "callback",
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+ "5": "callback: model checkpoint",
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+ "6": "checkpointing",
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+ "7": "ci",
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+ "8": "code quality",
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+ "9": "data handling",
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+ "10": "design",
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+ "11": "discussion",
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+ "12": "distributed",
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+ "13": "docs",
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+ "14": "duplicate",
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+ "15": "environment",
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+ "16": "environment: slurm",
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+ "17": "example",
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+ "18": "fault tolerance",
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+ "19": "feature",
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+ "20": "good first issue",
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+ "21": "help wanted",
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+ "22": "hooks",
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+ "23": "let's do it!",
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+ "24": "logger",
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+ "25": "logger: mlflow",
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+ "26": "logger: wandb",
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+ "27": "logging",
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+ "28": "loops",
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+ "29": "lr scheduler",
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+ "30": "optimizer",
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+ "31": "priority: 0",
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+ "32": "priority: 1",
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+ "33": "priority: 2",
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+ "34": "question",
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+ "35": "ready",
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+ "36": "refactor",
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+ "37": "strategy: ddp",
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+ "38": "strategy: dp",
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+ "39": "trainer: test",
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+ "40": "trainer: tune",
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+ "41": "trainer: validate",
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+ "42": "waiting on author",
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+ "43": "won't fix",
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+ "44": "working as intended"
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+ },
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+ "initializer_range": 0.02,
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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