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437ce66
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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: Fan-s/reddit-tc-bert
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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: model
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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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+ # model
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+
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+ This model is a fine-tuned version of [Fan-s/reddit-tc-bert](https://huggingface.co/Fan-s/reddit-tc-bert) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3981
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+ - F1: 0.4000
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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-06
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+ - train_batch_size: 36
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+ - eval_batch_size: 36
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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: 8
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 91 | 0.4630 | 0.1531 |
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+ | No log | 2.0 | 182 | 0.4290 | 0.1887 |
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+ | No log | 3.0 | 273 | 0.4143 | 0.2364 |
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+ | No log | 4.0 | 364 | 0.4074 | 0.3502 |
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+ | No log | 5.0 | 455 | 0.4037 | 0.2719 |
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+ | 0.3843 | 6.0 | 546 | 0.3991 | 0.3893 |
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+ | 0.3843 | 7.0 | 637 | 0.3985 | 0.3828 |
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+ | 0.3843 | 8.0 | 728 | 0.3981 | 0.4000 |
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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 2.0.0
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "BertForSequenceClassification"
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+ ],
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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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+ "use_cache": true,
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+ }
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