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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: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-base-uncased-finetuned-cda-gender-neutral
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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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+ # bert-base-uncased-finetuned-cda-gender-neutral
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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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+ - Loss: 1.7189
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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: 10
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1601 | 1.0 | 250 | 1.8874 |
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+ | 1.9588 | 2.0 | 500 | 1.8183 |
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+ | 1.9099 | 3.0 | 750 | 1.7578 |
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+ | 1.8581 | 4.0 | 1000 | 1.7431 |
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+ | 1.8305 | 5.0 | 1250 | 1.7409 |
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+ | 1.8197 | 6.0 | 1500 | 1.7162 |
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+ | 1.7967 | 7.0 | 1750 | 1.6774 |
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+ | 1.7923 | 8.0 | 2000 | 1.6912 |
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+ | 1.7765 | 9.0 | 2250 | 1.7099 |
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+ | 1.7724 | 10.0 | 2500 | 1.7372 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.36.0.dev0"
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+ }
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