End of training

README.md

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+---
+license: mit
+base_model: Ariffiq99/COPA_xlm_roberta_base_finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: CRAB_COPA_xlm_roberta_base_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. -->
+
+# CRAB_COPA_xlm_roberta_base_finetuned
+
+This model is a fine-tuned version of [Ariffiq99/COPA_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/COPA_xlm_roberta_base_finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9984
+- F1: 0.7389
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 1.2704        | 1.0   | 2880  | 1.4786          | 0.6417 |
+| 0.9705        | 2.0   | 5760  | 1.3520          | 0.6889 |
+| 0.9099        | 3.0   | 8640  | 1.1632          | 0.7069 |
+| 0.9405        | 4.0   | 11520 | 1.1806          | 0.6944 |
+| 1.0841        | 5.0   | 14400 | 1.0165          | 0.7097 |
+| 0.8958        | 6.0   | 17280 | 1.0538          | 0.7222 |
+| 0.7811        | 7.0   | 20160 | 1.0732          | 0.7375 |
+| 0.8317        | 8.0   | 23040 | 0.9984          | 0.7389 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1