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academic_text_classifier_de

Text Classification

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text-embeddings-inference

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c-ho commited on Dec 2, 2025

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c-ho/academic_main_text_classifier_de

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@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.2714
-- Accuracy: 0.9193
-- Precision: 0.9193
-- Recall: 0.9193
-- F1: 0.9193
 ## Model description
@@ -45,7 +45,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
 - 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
@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 134  | 0.7912          | 0.7189   | 0.7189    | 0.7189 | 0.7189 |
-| 1.0163        | 2.0   | 268  | 0.4568          | 0.8517   | 0.8517    | 0.8517 | 0.8517 |
-| 0.5157        | 3.0   | 402  | 0.3827          | 0.8704   | 0.8704    | 0.8704 | 0.8704 |
-| 0.5157        | 4.0   | 536  | 0.2817          | 0.9100   | 0.9100    | 0.9100 | 0.9100 |
-| 0.3219        | 5.0   | 670  | 0.2714          | 0.9193   | 0.9193    | 0.9193 | 0.9193 |
 ### Framework versions

 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: 0.2806
+- Accuracy: 0.9147
+- Precision: 0.9147
+- Recall: 0.9147
+- F1: 0.9147
 ## Model description
 The following hyperparameters were used during training:
 - learning_rate: 1e-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
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.1286        | 1.0   | 268  | 0.5176          | 0.8354   | 0.8354    | 0.8354 | 0.8354 |
+| 0.5628        | 2.0   | 536  | 0.3287          | 0.8998   | 0.8998    | 0.8998 | 0.8998 |
+| 0.3064        | 3.0   | 804  | 0.2835          | 0.9091   | 0.9091    | 0.9091 | 0.9091 |
+| 0.2472        | 4.0   | 1072 | 0.2922          | 0.9152   | 0.9152    | 0.9152 | 0.9152 |
+| 0.2236        | 5.0   | 1340 | 0.2806          | 0.9147   | 0.9147    | 0.9147 | 0.9147 |
 ### Framework versions