Training complete
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README.md
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---
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library_name: transformers
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license: mit
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base_model: cardiffnlp/twitter-roberta-base-ner7-latest
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tags:
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- generated_from_trainer
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model-index:
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- name: twitter-roberta-base-ner7-latest-finetuned
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results: []
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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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# twitter-roberta-base-ner7-latest-finetuned
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-ner7-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-ner7-latest) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0440
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- eval_precision: 0.8209
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- eval_recall: 0.7646
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- eval_f1: 0.7918
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- eval_accuracy: 0.9885
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- eval_runtime: 25.7488
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- eval_samples_per_second: 159.852
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- eval_steps_per_second: 10.02
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- epoch: 6.0
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- step: 4626
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 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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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Sep13_22-32-42_instance-pre-training/events.out.tfevents.1726266766.instance-pre-training
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