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Training in progress, epoch 1

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meta_data/README_s42_e1.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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+ datasets:
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+ - essays_su_g
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+ model-index:
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+ - name: longformer-full_labels
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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-full_labels
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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 essays_su_g dataset.
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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: 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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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | B-claim | B-majorclaim | B-premise | I-claim | I-majorclaim | I-premise | O | Accuracy | Macro avg | Weighted avg |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|
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+ | No log | 1.0 | 41 | 0.9425 | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 277.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 141.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 641.0} | {'precision': 0.25806451612903225, 'recall': 0.001961265015935278, 'f1-score': 0.0038929440389294393, 'support': 4079.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 2041.0} | {'precision': 0.6311264475377237, 'recall': 0.9420340462680052, 'f1-score': 0.7558575281056281, 'support': 11455.0} | {'precision': 0.7414656771799629, 'recall': 0.8617789757412398, 'f1-score': 0.7971079531288956, 'support': 9275.0} | 0.6733 | {'precision': 0.23295094869238842, 'recall': 0.2579677552893115, 'f1-score': 0.22240834646763616, 'support': 27909.0} | {'precision': 0.5431686113325129, 'recall': 0.6733311834891971, 'f1-score': 0.575706889120186, 'support': 27909.0} |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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+ {"B-Claim": {"precision": 0.0, "recall": 0.0, "f1-score": 0.0, "support": 277.0}, "B-MajorClaim": {"precision": 0.0, "recall": 0.0, "f1-score": 0.0, "support": 141.0}, "B-Premise": {"precision": 0.8450704225352113, "recall": 0.093603744149766, "f1-score": 0.16853932584269662, "support": 641.0}, "I-Claim": {"precision": 0.4851063829787234, "recall": 0.11179210590831086, "f1-score": 0.1817095038852361, "support": 4079.0}, "I-MajorClaim": {"precision": 0.5744125326370757, "recall": 0.10779029887310142, "f1-score": 0.1815181518151815, "support": 2041.0}, "I-Premise": {"precision": 0.7666466706658668, "recall": 0.8925360104757748, "f1-score": 0.824815457222379, "support": 11455.0}, "O": {"precision": 0.6639350481827149, "recall": 0.9433962264150944, "f1-score": 0.7793711588135744, "support": 9275.0}, "accuracy": 0.7062237987745889, "macro avg": {"precision": 0.47645300814279895, "recall": 0.30701691226029254, "f1-score": 0.3051362282255811, "support": 27909.0}, "weighted avg": {"precision": 0.667625147461383, "recall": 0.7062237987745889, "f1-score": 0.6412495568650286, "support": 27909.0}}
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