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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: allenai/longformer-base-4096
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - recall
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+ - precision
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+ model-index:
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+ - name: longformer-normaladam-1024
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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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+ # longformer-normaladam-1024
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+
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+ This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0150
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+ - Recall: 1.0
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+ - Precision: 0.9714
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+ - F5: 0.9989
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 4
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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_ratio: 0.1
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+ - num_epochs: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F5 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
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+ | 0.0027 | 1.0 | 400 | 0.0165 | 1.0 | 0.9714 | 0.9989 |
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+ | 0.0047 | 2.0 | 800 | 0.0150 | 1.0 | 0.9714 | 0.9989 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
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+ "_name_or_path": "allenai/longformer-base-4096",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "B-EMAIL",
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+ "1": "B-ID_NUM",
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+ "2": "B-NAME_STUDENT",
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+ "3": "B-PHONE_NUM",
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 4098,
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+ "transformers_version": "4.38.1",
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