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xlm-roberta-large-classifier

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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xet
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End of training

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  1. README.md +12 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ 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-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3678
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- - Accuracy: 0.8577
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- - F1: 0.7706
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  ## Model description
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@@ -46,17 +46,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy | F1 |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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- | No log | 0 | 0 | 0.6856 | 0.7114 | 0.0217 |
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- | No log | 0.4026 | 126 | 0.5024 | 0.7730 | 0.6578 |
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- | No log | 0.8051 | 252 | 0.4709 | 0.7578 | 0.6745 |
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- | No log | 1.2077 | 378 | 0.3623 | 0.8457 | 0.7510 |
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- | 0.4188 | 1.6102 | 504 | 0.3243 | 0.8633 | 0.7641 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4191
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+ - Accuracy: 0.8689
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+ - F1: 0.7831
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | No log | 0 | 0 | 0.8859 | 0.2894 | 0.4489 |
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+ | No log | 1.0 | 313 | 0.3979 | 0.8161 | 0.6866 |
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+ | 0.4587 | 2.0 | 626 | 0.3995 | 0.8505 | 0.7562 |
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+ | 0.4587 | 3.0 | 939 | 0.3341 | 0.8729 | 0.7757 |
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+ | 0.3067 | 4.0 | 1252 | 0.3884 | 0.8753 | 0.7827 |
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+ | 0.2147 | 5.0 | 1565 | 0.4191 | 0.8689 | 0.7831 |
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  ### Framework versions
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