End of training

README.md

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+---
+license: apache-2.0
+base_model: ibaucells/RoBERTa-ca-CaWikiTC
+tags:
+- generated_from_trainer
+model-index:
+- name: test6_balanced
+  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. -->
+
+# test6_balanced
+
+This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6982
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.8358        | 1.0   | 63   | 2.8655          |
+| 2.8469        | 2.0   | 126  | 2.8447          |
+| 2.7935        | 3.0   | 189  | 2.8533          |
+| 2.8191        | 4.0   | 252  | 2.8142          |
+| 2.6885        | 5.0   | 315  | 2.8259          |
+| 2.5876        | 6.0   | 378  | 2.6759          |
+| 2.5032        | 7.0   | 441  | 2.6097          |
+| 2.3133        | 8.0   | 504  | 2.5192          |
+| 2.1289        | 9.0   | 567  | 2.5403          |
+| 1.9344        | 10.0  | 630  | 2.4371          |
+| 1.6321        | 11.0  | 693  | 2.2946          |
+| 1.4731        | 12.0  | 756  | 2.1326          |
+| 1.2114        | 13.0  | 819  | 2.0522          |
+| 1.1537        | 14.0  | 882  | 2.1146          |
+| 1.022         | 15.0  | 945  | 1.9946          |
+| 0.8745        | 16.0  | 1008 | 1.8565          |
+| 0.5796        | 17.0  | 1071 | 1.7965          |
+| 0.5599        | 18.0  | 1134 | 1.7063          |
+| 0.4366        | 19.0  | 1197 | 1.9333          |
+| 0.3558        | 20.0  | 1260 | 1.8851          |
+| 0.3272        | 21.0  | 1323 | 1.8570          |
+| 0.2594        | 22.0  | 1386 | 1.8596          |
+| 0.2432        | 23.0  | 1449 | 1.9433          |
+| 0.2298        | 24.0  | 1512 | 1.9467          |
+| 0.266         | 25.0  | 1575 | 1.9150          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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