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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 +14 -14
  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: 0.1453
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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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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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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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  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: 0.1489
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+ - F1 Micro: 0.8209
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+ - Precision Micro: 0.8209
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+ - Recall Micro: 0.8209
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | Precision Micro | Recall Micro |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------------:|:------------:|
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+ | 0.4507 | 0.7782 | 200 | 0.3227 | 0.0 | 0.0 | 0.0 |
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+ | 0.263 | 1.5564 | 400 | 0.2081 | 0.5201 | 0.8744 | 0.3701 |
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+ | 0.1789 | 2.3346 | 600 | 0.1686 | 0.7489 | 0.8231 | 0.6870 |
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+ | 0.13 | 3.1128 | 800 | 0.1555 | 0.7691 | 0.8074 | 0.7343 |
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+ | 0.1063 | 3.8911 | 1000 | 0.1416 | 0.7974 | 0.7649 | 0.8327 |
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+ | 0.0844 | 4.6693 | 1200 | 0.1492 | 0.8 | 0.8008 | 0.7992 |
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+ | 0.0617 | 5.4475 | 1400 | 0.1449 | 0.8268 | 0.8268 | 0.8268 |
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+ | 0.0534 | 6.2257 | 1600 | 0.1388 | 0.8283 | 0.8258 | 0.8307 |
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+ | 0.0352 | 7.0039 | 1800 | 0.1471 | 0.8272 | 0.8297 | 0.8248 |
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+ | 0.0296 | 7.7821 | 2000 | 0.1489 | 0.8209 | 0.8209 | 0.8209 |
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  ### Framework versions
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