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framing_classification_longformer_50

Text Classification
Transformers
PyTorch
longformer
Generated from Trainer
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  1. README.md +115 -0
  2. config.json +52 -0
  3. merges.txt +0 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +15 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +16 -0
  8. training_args.bin +3 -0
  9. vocab.json +0 -0
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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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: framing_classification_longformer_50
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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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+ # framing_classification_longformer_50
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3739
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+ - Accuracy: 0.9332
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+ - F1: 0.9608
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+ - Precision: 0.9394
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+ - Recall: 0.9832
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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: 1
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+ - eval_batch_size: 1
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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: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.8078 | 1.0 | 5152 | 0.8413 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7998 | 2.0 | 10304 | 0.8279 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.9031 | 3.0 | 15456 | 0.9204 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7805 | 4.0 | 20608 | 0.8259 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8775 | 5.0 | 25760 | 0.8078 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7248 | 6.0 | 30912 | 0.7587 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8282 | 7.0 | 36064 | 0.7737 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.774 | 8.0 | 41216 | 0.8283 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.802 | 9.0 | 46368 | 0.7968 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8458 | 10.0 | 51520 | 0.8591 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7923 | 11.0 | 56672 | 0.8526 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8435 | 12.0 | 61824 | 0.8076 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8239 | 13.0 | 66976 | 0.8152 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7751 | 14.0 | 72128 | 0.8280 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7984 | 15.0 | 77280 | 0.8358 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8359 | 16.0 | 82432 | 0.8471 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.9831 | 17.0 | 87584 | 0.8089 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.9051 | 18.0 | 92736 | 0.8094 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.9337 | 19.0 | 97888 | 0.8296 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.9565 | 20.0 | 103040 | 0.8021 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8494 | 21.0 | 108192 | 0.8405 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.822 | 22.0 | 113344 | 0.8481 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.856 | 23.0 | 118496 | 0.8194 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.8892 | 24.0 | 123648 | 0.8394 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.7816 | 25.0 | 128800 | 0.7035 | 0.8649 | 0.9245 | 0.8639 | 0.9944 |
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+ | 0.6349 | 26.0 | 133952 | 0.6452 | 0.8773 | 0.9309 | 0.8764 | 0.9925 |
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+ | 0.6872 | 27.0 | 139104 | 0.6440 | 0.8820 | 0.9331 | 0.8833 | 0.9888 |
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+ | 0.7452 | 28.0 | 144256 | 0.5578 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.6425 | 29.0 | 149408 | 0.4712 | 0.8323 | 0.9085 | 0.8323 | 1.0 |
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+ | 0.6705 | 30.0 | 154560 | 0.6447 | 0.8866 | 0.9357 | 0.8865 | 0.9907 |
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+ | 0.5748 | 31.0 | 159712 | 0.4063 | 0.9239 | 0.9553 | 0.9340 | 0.9776 |
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+ | 0.6543 | 32.0 | 164864 | 0.4753 | 0.9099 | 0.9482 | 0.9092 | 0.9907 |
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+ | 0.5376 | 33.0 | 170016 | 0.4782 | 0.9099 | 0.9482 | 0.9092 | 0.9907 |
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+ | 0.6895 | 34.0 | 175168 | 0.4383 | 0.9177 | 0.9524 | 0.9185 | 0.9888 |
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+ | 0.5867 | 35.0 | 180320 | 0.4970 | 0.9130 | 0.9497 | 0.9152 | 0.9869 |
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+ | 0.7092 | 36.0 | 185472 | 0.4719 | 0.9177 | 0.9521 | 0.9229 | 0.9832 |
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+ | 0.6561 | 37.0 | 190624 | 0.4763 | 0.9146 | 0.9508 | 0.9139 | 0.9907 |
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+ | 0.5693 | 38.0 | 195776 | 0.3947 | 0.9301 | 0.9591 | 0.9345 | 0.9851 |
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+ | 0.4321 | 39.0 | 200928 | 0.4632 | 0.9161 | 0.9503 | 0.9382 | 0.9627 |
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+ | 0.5156 | 40.0 | 206080 | 0.4012 | 0.9301 | 0.9593 | 0.9299 | 0.9907 |
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+ | 0.5279 | 41.0 | 211232 | 0.4558 | 0.9224 | 0.9550 | 0.9219 | 0.9907 |
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+ | 0.5489 | 42.0 | 216384 | 0.4438 | 0.9193 | 0.9532 | 0.9201 | 0.9888 |
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+ | 0.5586 | 43.0 | 221536 | 0.4469 | 0.9177 | 0.9526 | 0.9157 | 0.9925 |
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+ | 0.575 | 44.0 | 226688 | 0.4310 | 0.9270 | 0.9569 | 0.9405 | 0.9739 |
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+ | 0.4589 | 45.0 | 231840 | 0.4117 | 0.9301 | 0.9591 | 0.9345 | 0.9851 |
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+ | 0.4012 | 46.0 | 236992 | 0.4501 | 0.9239 | 0.9553 | 0.9356 | 0.9757 |
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+ | 0.5395 | 47.0 | 242144 | 0.3989 | 0.9317 | 0.96 | 0.9362 | 0.9851 |
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+ | 0.5009 | 48.0 | 247296 | 0.3739 | 0.9332 | 0.9608 | 0.9394 | 0.9832 |
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+ | 0.5356 | 49.0 | 252448 | 0.3805 | 0.9348 | 0.9617 | 0.9395 | 0.9851 |
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+ | 0.5729 | 50.0 | 257600 | 0.3833 | 0.9348 | 0.9617 | 0.9395 | 0.9851 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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+ "problem_type": "single_label_classification",
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+ }
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