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NurErtug
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crowd_sourced_web_classifier

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

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  1. README.md +6 -7
  2. runs/Nov30_14-07-21_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764508043.tsf-508-wpa-6-167.epfl.ch.4660.2 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 1.5332
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- - Accuracy: 0.5725
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  ## Model description
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@@ -45,16 +45,15 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 4
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- - label_smoothing_factor: 0.1
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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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- | 1.8012 | 1.0 | 79 | 1.8392 | 0.5502 |
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- | 1.6259 | 2.0 | 158 | 1.6188 | 0.5576 |
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- | 1.5486 | 3.0 | 237 | 1.5632 | 0.5428 |
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- | 1.5573 | 4.0 | 316 | 1.5332 | 0.5725 |
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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: 1.0079
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+ - Accuracy: 0.6741
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 4
 
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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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+ | 1.6323 | 1.0 | 79 | 1.3051 | 0.5778 |
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+ | 1.3752 | 2.0 | 158 | 1.2841 | 0.5148 |
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+ | 1.2269 | 3.0 | 237 | 1.0283 | 0.6407 |
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+ | 1.2356 | 4.0 | 316 | 1.0079 | 0.6741 |
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  ### Framework versions
runs/Nov30_14-07-21_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764508043.tsf-508-wpa-6-167.epfl.ch.4660.2 CHANGED
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