End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: crowd_sourced_web_classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# crowd_sourced_web_classifier
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4363
+- Accuracy: 0.6226
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 124  | 1.6580          | 0.4835   |
+| No log        | 2.0   | 248  | 1.6012          | 0.5118   |
+| No log        | 3.0   | 372  | 1.4782          | 0.5731   |
+| No log        | 4.0   | 496  | 1.4082          | 0.5991   |
+| 1.5207        | 5.0   | 620  | 1.3994          | 0.6392   |
+| 1.5207        | 6.0   | 744  | 1.4363          | 0.6226   |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.9.0
+- Datasets 4.4.1
+- Tokenizers 0.22.1

runs/Nov19_15-12-10_tsf-508-wpa-6-122.epfl.ch/events.out.tfevents.1763561531.tsf-508-wpa-6-122.epfl.ch.6487.3

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