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Fine-tuned BART model for League of Legends biographies classification

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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # bios_lol_fine-tuned
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- This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the biographies of the champions from league of legends.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7373
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- - F1: 0.1167
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  ## Model description
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@@ -43,14 +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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  ### 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 | 44 | 1.7129 | 0.0816 |
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- | No log | 2.0 | 88 | 1.7373 | 0.1167 |
 
 
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  ### Framework versions
 
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  # bios_lol_fine-tuned
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+ This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9271
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+ - F1: 0.1383
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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: 4
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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 | 44 | 1.8027 | 0.0870 |
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+ | No log | 2.0 | 88 | 1.8250 | 0.1652 |
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+ | No log | 3.0 | 132 | 1.9272 | 0.2199 |
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+ | No log | 4.0 | 176 | 1.9271 | 0.1383 |
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  ### Framework versions
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