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: test7_balanced_and_sentence
+  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. -->
+
+# test7_balanced_and_sentence
+
+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: 2.1090
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.8511        | 1.0   | 63   | 2.8392          |
+| 2.8303        | 2.0   | 126  | 2.8357          |
+| 2.8277        | 3.0   | 189  | 2.8396          |
+| 2.7933        | 4.0   | 252  | 2.8123          |
+| 2.7264        | 5.0   | 315  | 2.7844          |
+| 2.6213        | 6.0   | 378  | 2.7200          |
+| 2.513         | 7.0   | 441  | 2.7099          |
+| 2.4436        | 8.0   | 504  | 2.5845          |
+| 2.0946        | 9.0   | 567  | 2.5724          |
+| 1.9708        | 10.0  | 630  | 2.3567          |
+| 1.6289        | 11.0  | 693  | 2.3670          |
+| 1.5015        | 12.0  | 756  | 2.3716          |
+| 1.3488        | 13.0  | 819  | 2.1432          |
+| 1.0815        | 14.0  | 882  | 2.2774          |
+| 0.9128        | 15.0  | 945  | 2.3228          |
+| 0.7779        | 16.0  | 1008 | 2.2310          |
+| 0.5918        | 17.0  | 1071 | 2.3602          |
+| 0.5215        | 18.0  | 1134 | 2.3472          |
+| 0.3969        | 19.0  | 1197 | 2.3990          |
+| 0.421         | 20.0  | 1260 | 2.4948          |
+| 0.2811        | 21.0  | 1323 | 2.6314          |
+| 0.2538        | 22.0  | 1386 | 2.7452          |
+| 0.1646        | 23.0  | 1449 | 2.7550          |
+| 0.1553        | 24.0  | 1512 | 2.8536          |
+| 0.1743        | 25.0  | 1575 | 2.8543          |
+| 0.198         | 26.0  | 1638 | 2.9044          |
+| 0.1065        | 27.0  | 1701 | 2.9262          |
+| 0.0935        | 28.0  | 1764 | 2.8968          |
+| 0.0972        | 29.0  | 1827 | 2.9331          |
+| 0.1296        | 30.0  | 1890 | 2.9396          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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