End of training
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README.md
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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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<!-- 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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# bert-base-uncased-finetuned-cda-gender-neutral
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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
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generation_config.json
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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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runs/Nov17_15-22-27_485253849c8b/events.out.tfevents.1700234590.485253849c8b.298.0
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runs/Nov17_15-22-27_485253849c8b/events.out.tfevents.1700236183.485253849c8b.298.1
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