End of training

README.md

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+---
+license: mit
+base_model: Ariffiq99/CRAB_xlm_roberta_large_finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: KUCI_CRAB_xlm_roberta_large_finetuned
+  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. -->
+
+# KUCI_CRAB_xlm_roberta_large_finetuned
+
+This model is a fine-tuned version of [Ariffiq99/CRAB_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/CRAB_xlm_roberta_large_finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8347
+- F1: 0.8472
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.4762        | 1.0   | 5196  | 0.4732          | 0.8249 |
+| 0.3423        | 2.0   | 10392 | 0.5103          | 0.8382 |
+| 0.2225        | 3.0   | 15588 | 0.6075          | 0.8449 |
+| 0.1239        | 4.0   | 20784 | 0.8347          | 0.8472 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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