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End of training

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  1. README.md +66 -0
  2. config.json +326 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: roberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: experiment_lr_20241215_145438-postcrash
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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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+ # experiment_lr_20241215_145438-postcrash
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0166
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+ - Exact Match Accuracy: 0.5777
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 7
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Exact Match Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
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+ | 0.0725 | 1.0 | 2297 | 0.0720 | 0.0 |
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+ | 0.0661 | 2.0 | 4594 | 0.0607 | 0.0 |
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+ | 0.0422 | 3.0 | 6891 | 0.0356 | 0.0245 |
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+ | 0.0252 | 4.0 | 9188 | 0.0234 | 0.1441 |
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+ | 0.0193 | 5.0 | 11485 | 0.0185 | 0.4620 |
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+ | 0.0164 | 6.0 | 13782 | 0.0168 | 0.5711 |
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+ | 0.0158 | 7.0 | 16079 | 0.0166 | 0.5777 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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