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xlm-roberta-base-finetuned-raw

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +8 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5130
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- - Accuracy: 0.8563
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- - F1: 0.8551
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  ## Model description
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@@ -45,17 +45,16 @@ 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.2557 | 1.0 | 1699 | 0.7169 | 0.7858 | 0.7805 |
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- | 0.6384 | 2.0 | 3398 | 0.5732 | 0.8285 | 0.8251 |
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- | 0.4814 | 3.0 | 5097 | 0.5527 | 0.8382 | 0.8368 |
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- | 0.3813 | 4.0 | 6796 | 0.5146 | 0.8527 | 0.8505 |
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- | 0.3156 | 5.0 | 8495 | 0.5130 | 0.8563 | 0.8551 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5389
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+ - Accuracy: 0.8433
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+ - F1: 0.8419
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.2705 | 1.0 | 1699 | 0.7376 | 0.7816 | 0.7763 |
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+ | 0.6359 | 2.0 | 3398 | 0.5830 | 0.8251 | 0.8238 |
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+ | 0.482 | 3.0 | 5097 | 0.5476 | 0.8388 | 0.8366 |
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+ | 0.3873 | 4.0 | 6796 | 0.5389 | 0.8433 | 0.8419 |
 
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  ### Framework versions
model.safetensors CHANGED
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  size 1112281908
 
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  size 1112281908