Training in progress, epoch 1

meta_data/README_s42_e1.md

@@ -0,0 +1,57 @@
+---
+license: apache-2.0
+base_model: allenai/longformer-base-4096
+tags:
+- generated_from_trainer
+datasets:
+- essays_su_g
+model-index:
+- name: longformer-full_labels
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# longformer-full_labels
+
+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.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | B-claim                                                              | B-majorclaim                                                         | B-premise                                                            | I-claim                                                                                                                  | I-majorclaim                                                          | I-premise                                                                                                           | O                                                                                                                  | Accuracy | Macro avg                                                                                                             | Weighted avg                                                                                                       |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|
+| 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} |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

meta_data/meta_s42_e5.json

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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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