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Text Classification
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Safetensors
xlm-roberta
Generated from Trainer
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End of training

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  1. README.md +15 -6
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ 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: 0.3369
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- - F1 Micro: 0.0
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- - Precision Micro: 0.0
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- - Recall Micro: 0.0
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  ## Model description
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@@ -43,13 +43,22 @@ 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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | Precision Micro | Recall Micro |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------------:|:------------:|
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- | 0.387 | 0.7782 | 200 | 0.3369 | 0.0 | 0.0 | 0.0 |
 
 
 
 
 
 
 
 
 
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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: 0.1453
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+ - F1 Micro: 0.8394
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+ - Precision Micro: 0.8402
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+ - Recall Micro: 0.8386
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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: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | Precision Micro | Recall Micro |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------------:|:------------:|
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+ | 0.4584 | 0.7782 | 200 | 0.3421 | 0.0 | 0.0 | 0.0 |
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+ | 0.3082 | 1.5564 | 400 | 0.2472 | 0.4357 | 0.9412 | 0.2835 |
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+ | 0.2027 | 2.3346 | 600 | 0.1738 | 0.7051 | 0.8746 | 0.5906 |
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+ | 0.1411 | 3.1128 | 800 | 0.1552 | 0.7699 | 0.8091 | 0.7343 |
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+ | 0.1153 | 3.8911 | 1000 | 0.1418 | 0.8117 | 0.7814 | 0.8445 |
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+ | 0.0887 | 4.6693 | 1200 | 0.1358 | 0.8255 | 0.8223 | 0.8287 |
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+ | 0.0642 | 5.4475 | 1400 | 0.1433 | 0.8312 | 0.8337 | 0.8287 |
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+ | 0.052 | 6.2257 | 1600 | 0.1425 | 0.8271 | 0.8255 | 0.8287 |
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+ | 0.0368 | 7.0039 | 1800 | 0.1403 | 0.8351 | 0.8376 | 0.8327 |
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+ | 0.0314 | 7.7821 | 2000 | 0.1453 | 0.8394 | 0.8402 | 0.8386 |
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  ### Framework versions
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