vishnuhaasan commited on
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End of training

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README.md ADDED
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+ ---
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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: roberta_nbx_all_l
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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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+ # roberta_nbx_all_l
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4231
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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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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+ | 0.4142 | 1.0 | 1949 | 0.3892 |
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+ | 0.0962 | 2.0 | 3898 | 0.3523 |
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+ | 0.2092 | 3.0 | 5847 | 0.3674 |
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+ | 0.2436 | 4.0 | 7796 | 0.3654 |
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+ | 0.0776 | 5.0 | 9745 | 0.3609 |
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+ | 0.1534 | 6.0 | 11694 | 0.3578 |
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+ | 0.0653 | 7.0 | 13643 | 0.4346 |
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+ | 0.0016 | 8.0 | 15592 | 0.3912 |
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+ | 0.0267 | 9.0 | 17541 | 0.4162 |
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+ | 0.0551 | 10.0 | 19490 | 0.4231 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.19.2
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+ - Tokenizers 0.15.0
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