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relevance-classification-v1

Text Classification
Transformers
Safetensors
longformer
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +58 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ 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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  model-index:
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  - name: relevance-classification-v1
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # relevance-classification-v1
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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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  ## Model description
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@@ -38,13 +43,62 @@ The following hyperparameters were used during training:
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 338 | 0.6909 | 0.7241 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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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  model-index:
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  - name: relevance-classification-v1
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  results: []
 
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  # relevance-classification-v1
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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: 4.5156
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+ - Accuracy: 0.6069
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  ## Model description
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | No log | 1.0 | 338 | 0.6547 | 0.6138 |
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+ | 0.744 | 2.0 | 676 | 1.3339 | 0.6069 |
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+ | 0.8767 | 3.0 | 1014 | 0.6368 | 0.6207 |
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+ | 0.8767 | 4.0 | 1352 | 0.8089 | 0.5931 |
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+ | 0.82 | 5.0 | 1690 | 1.7406 | 0.6276 |
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+ | 0.7448 | 6.0 | 2028 | 1.5868 | 0.6345 |
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+ | 0.7448 | 7.0 | 2366 | 1.6950 | 0.6483 |
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+ | 0.5449 | 8.0 | 2704 | 1.8365 | 0.6276 |
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+ | 0.4678 | 9.0 | 3042 | 1.9301 | 0.6069 |
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+ | 0.4678 | 10.0 | 3380 | 2.1818 | 0.6138 |
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+ | 0.3283 | 11.0 | 3718 | 2.1599 | 0.6 |
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+ | 0.2159 | 12.0 | 4056 | 2.3001 | 0.6207 |
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+ | 0.2159 | 13.0 | 4394 | 2.3061 | 0.6138 |
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+ | 0.1953 | 14.0 | 4732 | 2.5816 | 0.6069 |
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+ | 0.1241 | 15.0 | 5070 | 2.7310 | 0.6069 |
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+ | 0.1241 | 16.0 | 5408 | 2.5896 | 0.6207 |
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+ | 0.1793 | 17.0 | 5746 | 2.7177 | 0.6207 |
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+ | 0.0978 | 18.0 | 6084 | 2.6936 | 0.6069 |
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+ | 0.0978 | 19.0 | 6422 | 2.4796 | 0.6069 |
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+ | 0.175 | 20.0 | 6760 | 3.1355 | 0.6 |
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+ | 0.1408 | 21.0 | 7098 | 3.0787 | 0.6069 |
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+ | 0.1408 | 22.0 | 7436 | 3.0301 | 0.6 |
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+ | 0.1127 | 23.0 | 7774 | 3.5055 | 0.5793 |
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+ | 0.0812 | 24.0 | 8112 | 2.7603 | 0.6414 |
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+ | 0.0812 | 25.0 | 8450 | 3.2282 | 0.5793 |
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+ | 0.078 | 26.0 | 8788 | 3.3855 | 0.6138 |
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+ | 0.0228 | 27.0 | 9126 | 3.2529 | 0.6 |
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+ | 0.0228 | 28.0 | 9464 | 3.5188 | 0.6 |
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+ | 0.0556 | 29.0 | 9802 | 3.3436 | 0.5931 |
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+ | 0.0564 | 30.0 | 10140 | 3.6578 | 0.6069 |
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+ | 0.0564 | 31.0 | 10478 | 3.6755 | 0.6069 |
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+ | 0.0339 | 32.0 | 10816 | 3.5301 | 0.6138 |
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+ | 0.0273 | 33.0 | 11154 | 3.8414 | 0.6069 |
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+ | 0.0273 | 34.0 | 11492 | 4.0242 | 0.6069 |
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+ | 0.0045 | 35.0 | 11830 | 4.2730 | 0.5931 |
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+ | 0.0503 | 36.0 | 12168 | 3.8472 | 0.6069 |
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+ | 0.0043 | 37.0 | 12506 | 4.1642 | 0.5931 |
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+ | 0.0043 | 38.0 | 12844 | 4.2903 | 0.5931 |
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+ | 0.0 | 39.0 | 13182 | 4.3893 | 0.5931 |
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+ | 0.0 | 40.0 | 13520 | 4.4723 | 0.5931 |
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+ | 0.0 | 41.0 | 13858 | 4.4564 | 0.5931 |
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+ | 0.0088 | 42.0 | 14196 | 4.5376 | 0.5931 |
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+ | 0.0375 | 43.0 | 14534 | 4.2578 | 0.6 |
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+ | 0.0375 | 44.0 | 14872 | 4.3456 | 0.6069 |
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+ | 0.0 | 45.0 | 15210 | 4.3547 | 0.6069 |
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+ | 0.0002 | 46.0 | 15548 | 4.4010 | 0.6138 |
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+ | 0.0002 | 47.0 | 15886 | 4.4475 | 0.6069 |
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+ | 0.0 | 48.0 | 16224 | 4.4869 | 0.6069 |
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+ | 0.0 | 49.0 | 16562 | 4.5066 | 0.6069 |
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+ | 0.0 | 50.0 | 16900 | 4.5156 | 0.6069 |
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  ### Framework versions
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