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Push ../models/xlnet/xlnet-base-cased/biored-augmentations-only/ trained on biored-train_160_splits.pt (160 samples)
Browse files- README.md +15 -17
- model.safetensors +1 -1
- tokenizer.json +1 -10
- training_args.bin +1 -1
README.md
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@@ -28,12 +28,12 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the bigbio/biored dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Weighted F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
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| No log | 1.0 | 20 | 0.
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| No log | 2.0 | 40 | 0.
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| No log | 3.0 | 60 | 0.
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| No log | 4.0 | 80 | 0.
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| No log | 5.0 | 100 | 0.
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| No log | 6.0 | 120 | 0.
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| No log | 7.0 | 140 | 0.
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| No log | 8.0 | 160 | 0.
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| No log | 9.0 | 180 | 0.2286 | 0.9475 | 0.8298 | 0.8332 | 0.8303 | 0.9471 |
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| No log | 10.0 | 200 | 0.2404 | 0.9473 | 0.8352 | 0.83 | 0.8314 | 0.9467 |
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### Framework versions
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the bigbio/biored dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1576
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- Accuracy: 0.9544
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- Precision: 0.8802
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- Recall: 0.858
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- F1: 0.8663
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- Weighted F1: 0.9546
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.5e-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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
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| No log | 1.0 | 20 | 0.2001 | 0.9348 | 0.8286 | 0.7628 | 0.791 | 0.9332 |
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| No log | 2.0 | 40 | 0.1961 | 0.9367 | 0.7938 | 0.8119 | 0.8015 | 0.9365 |
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| No log | 3.0 | 60 | 0.1902 | 0.9422 | 0.8297 | 0.8124 | 0.8202 | 0.9416 |
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| No log | 4.0 | 80 | 0.1948 | 0.9426 | 0.8323 | 0.8226 | 0.8269 | 0.9422 |
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| No log | 5.0 | 100 | 0.1969 | 0.9429 | 0.8152 | 0.8279 | 0.8208 | 0.9431 |
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| No log | 6.0 | 120 | 0.2071 | 0.9426 | 0.8194 | 0.8324 | 0.8257 | 0.943 |
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| No log | 7.0 | 140 | 0.2024 | 0.9455 | 0.8244 | 0.8284 | 0.8258 | 0.9453 |
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| No log | 8.0 | 160 | 0.2143 | 0.9451 | 0.8241 | 0.8294 | 0.8257 | 0.9449 |
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### Framework versions
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model.safetensors
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tokenizer.json
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training_args.bin
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