c-ho/academic_main_text_classifier_de

README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: academic_main_text_classifier_de
+  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. -->
+
+# academic_main_text_classifier_de
+
+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: 0.2835
+- Accuracy: 0.9319
+- Precision: 0.9319
+- Recall: 0.9319
+- F1: 0.9319
+
+## 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: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.8491        | 1.0   | 268  | 0.3697          | 0.8858   | 0.8858    | 0.8858 | 0.8858 |
+| 0.4033        | 2.0   | 536  | 0.3948          | 0.8946   | 0.8946    | 0.8946 | 0.8946 |
+| 0.2694        | 3.0   | 804  | 0.3032          | 0.9193   | 0.9193    | 0.9193 | 0.9193 |
+| 0.1998        | 4.0   | 1072 | 0.2782          | 0.9315   | 0.9315    | 0.9315 | 0.9315 |
+| 0.1549        | 5.0   | 1340 | 0.2835          | 0.9319   | 0.9319    | 0.9319 | 0.9319 |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.9.0+cu128
+- Datasets 4.2.0
+- Tokenizers 0.22.1

model.safetensors

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