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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2280
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- - F1: 0.8929
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  ## Model description
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@@ -43,15 +43,16 @@ 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: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 60 | 0.5209 | 0.7037 |
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- | No log | 2.0 | 120 | 0.2280 | 0.8929 |
 
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  ### Framework versions
 
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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: 0.1895
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+ - F1: 0.9615
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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: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 60 | 0.3288 | 0.8095 |
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+ | No log | 2.0 | 120 | 0.2252 | 0.9615 |
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+ | No log | 3.0 | 180 | 0.1895 | 0.9615 |
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  ### Framework versions
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