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End of training

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  1. README.md +76 -0
  2. generation_config.json +5 -0
  3. pytorch_model.bin +1 -1
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-finetuned-twitter_
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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-finetuned-twitter_
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6651
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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: 192
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+ - eval_batch_size: 192
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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: 20
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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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+ | 2.1933 | 1.0 | 4180 | 1.9612 |
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+ | 2.0051 | 2.0 | 8360 | 1.8795 |
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+ | 1.939 | 3.0 | 12540 | 1.8310 |
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+ | 1.8928 | 4.0 | 16720 | 1.8013 |
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+ | 1.8594 | 5.0 | 20900 | 1.7730 |
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+ | 1.8336 | 6.0 | 25080 | 1.7702 |
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+ | 1.8145 | 7.0 | 29260 | 1.7449 |
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+ | 1.7963 | 8.0 | 33440 | 1.7277 |
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+ | 1.7806 | 9.0 | 37620 | 1.7105 |
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+ | 1.7682 | 10.0 | 41800 | 1.7061 |
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+ | 1.7584 | 11.0 | 45980 | 1.7041 |
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+ | 1.7454 | 12.0 | 50160 | 1.6899 |
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+ | 1.7374 | 13.0 | 54340 | 1.6850 |
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+ | 1.7295 | 14.0 | 58520 | 1.6856 |
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+ | 1.7232 | 15.0 | 62700 | 1.6819 |
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+ | 1.715 | 16.0 | 66880 | 1.6730 |
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+ | 1.7101 | 17.0 | 71060 | 1.6723 |
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+ | 1.7057 | 18.0 | 75240 | 1.6655 |
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+ | 1.7038 | 19.0 | 79420 | 1.6617 |
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+ | 1.702 | 20.0 | 83600 | 1.6625 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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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": "4.32.1"
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+ }
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