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End of training

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  1. README.md +61 -0
  2. generation_config.json +5 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: deepset/gbert-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gbert-base-MLM-eu
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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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+ # gbert-base-MLM-eu
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+
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+ This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3578
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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: 5
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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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+ | 1.9428 | 1.0 | 403 | 1.5950 |
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+ | 1.6342 | 2.0 | 806 | 1.4453 |
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+ | 1.5324 | 3.0 | 1209 | 1.3751 |
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+ | 1.4729 | 4.0 | 1612 | 1.3533 |
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+ | 1.4536 | 5.0 | 2015 | 1.3389 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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": "4.33.2"
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+ }