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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: bert-base-uncased
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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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+ model-index:
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+ - name: boss-toxicity-6000-bert-base-uncased
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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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+ # boss-toxicity-6000-bert-base-uncased
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - F1: 0.7068
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+ - Acc: 0.8555
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+ - Loss: 0.9111
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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: 16
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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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+ - lr_scheduler_warmup_ratio: 0.1
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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 | F1 | Acc | Validation Loss |
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+ |:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
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+ | No log | 1.0 | 375 | 0.6887 | 0.8526 | 0.3768 |
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+ | 0.5463 | 2.0 | 750 | 0.7002 | 0.8500 | 0.3333 |
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+ | 0.27 | 3.0 | 1125 | 0.6929 | 0.8417 | 0.3775 |
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+ | 0.1582 | 4.0 | 1500 | 0.7082 | 0.8564 | 0.5663 |
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+ | 0.1582 | 5.0 | 1875 | 0.6730 | 0.8230 | 0.7996 |
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+ | 0.0617 | 6.0 | 2250 | 0.6581 | 0.8051 | 1.1498 |
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+ | 0.0267 | 7.0 | 2625 | 0.7068 | 0.8555 | 0.9111 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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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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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.0",
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+ "type_vocab_size": 2,
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+ "use_cache": false,
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+ }
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