End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: language_detector
+  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. -->
+
+# language_detector
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0157
+- Accuracy: 0.9986
+- F1 Macro: 0.9985
+- Precision Macro: 0.9988
+- Recall Macro: 0.9981
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|
+| 0.0207        | 1.0   | 3850  | 0.0094          | 0.9989   | 0.9987   | 0.9990          | 0.9985       |
+| 0.007         | 2.0   | 7700  | 0.0141          | 0.9984   | 0.9982   | 0.9983          | 0.9981       |
+| 0.0031        | 3.0   | 11550 | 0.0095          | 0.9993   | 0.9992   | 0.9995          | 0.999        |
+| 0.0083        | 4.0   | 15400 | 0.0061          | 0.9995   | 0.9995   | 0.9997          | 0.9993       |
+| 0.0013        | 5.0   | 19250 | 0.0157          | 0.9986   | 0.9985   | 0.9988          | 0.9981       |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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