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End of training

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  1. README.md +8 -6
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@@ -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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2535
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- - Accuracy: 0.9224
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  ## Model description
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@@ -43,15 +43,17 @@ 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: cosine
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- - num_epochs: 3
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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 | 490 | 0.5038 | 0.8082 |
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- | 0.8773 | 2.0 | 980 | 0.2412 | 0.9224 |
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- | 0.3233 | 3.0 | 1470 | 0.2535 | 0.9224 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0011
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+ - Accuracy: 1.0
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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: cosine
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+ - num_epochs: 5
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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 | 490 | 0.6021 | 0.6941 |
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+ | 1.0093 | 2.0 | 980 | 0.1946 | 0.8630 |
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+ | 0.3064 | 3.0 | 1470 | 0.0019 | 1.0 |
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+ | 0.0826 | 4.0 | 1960 | 0.0012 | 1.0 |
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+ | 0.0023 | 5.0 | 2450 | 0.0011 | 1.0 |
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  ### Framework versions