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End of training

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  1. README.md +66 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: deepset/roberta-base-squad2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: testModel4
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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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+ # testModel4
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+
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+ This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1312
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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: 4.736874483017473e-06
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+
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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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+ | 2.3168 | 1.0 | 541 | 0.2721 |
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+ | 0.0011 | 2.0 | 1082 | 0.1897 |
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+ | 0.0123 | 3.0 | 1623 | 0.1486 |
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+ | 0.0206 | 4.0 | 2164 | 0.1452 |
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+ | 0.0001 | 5.0 | 2705 | 0.1268 |
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+ | 0.0005 | 6.0 | 3246 | 0.1280 |
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+ | 0.0001 | 7.0 | 3787 | 0.1296 |
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+ | 1.3317 | 8.0 | 4328 | 0.1317 |
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+ | 0.0001 | 9.0 | 4869 | 0.1320 |
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+ | 0.0066 | 10.0 | 5410 | 0.1312 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.5.1
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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