sivakarri commited on
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Training in progress, epoch 1

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README.md ADDED
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+ ---
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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: roberta_nba_v2
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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_nba_v2
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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: 0.8231
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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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+ | 0.4838 | 1.0 | 193 | 0.5098 |
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+ | 0.4339 | 2.0 | 386 | 0.5224 |
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+ | 0.3639 | 3.0 | 579 | 0.5431 |
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+ | 0.4189 | 4.0 | 772 | 0.4780 |
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+ | 0.3729 | 5.0 | 965 | 0.6443 |
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+ | 0.1509 | 6.0 | 1158 | 0.6412 |
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+ | 0.0923 | 7.0 | 1351 | 0.7526 |
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+ | 0.0256 | 8.0 | 1544 | 0.7852 |
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+ | 0.1447 | 9.0 | 1737 | 0.8347 |
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+ | 0.0011 | 10.0 | 1930 | 0.8231 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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