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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: 1.7381
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8474 | 1.0 | 63 | 2.8422 |
| 2.8221 | 2.0 | 126 | 2.8406 |
| 2.8228 | 3.0 | 189 | 2.8483 |
| 2.7804 | 4.0 | 252 | 2.8079 |
| 2.6707 | 5.0 | 315 | 2.7224 |
| 2.5542 | 6.0 | 378 | 2.6884 |
| 2.3782 | 7.0 | 441 | 2.5568 |
| 2.302 | 8.0 | 504 | 2.5003 |
| 1.9717 | 9.0 | 567 | 2.2786 |
| 1.7659 | 10.0 | 630 | 2.1437 |
| 1.4552 | 11.0 | 693 | 2.0261 |
| 1.1394 | 12.0 | 756 | 1.8772 |
| 0.8644 | 13.0 | 819 | 1.8367 |
| 0.826 | 14.0 | 882 | 1.6980 |
| 0.5626 | 15.0 | 945 | 1.8251 |
| 0.3684 | 16.0 | 1008 | 1.8207 |
| 0.2861 | 17.0 | 1071 | 2.0102 |
| 0.2056 | 18.0 | 1134 | 2.2188 |
| 0.1174 | 19.0 | 1197 | 2.1110 |
| 0.1485 | 20.0 | 1260 | 2.1932 |
| 0.1064 | 21.0 | 1323 | 2.2119 |
| 0.065 | 22.0 | 1386 | 2.3062 |
| 0.0528 | 23.0 | 1449 | 2.3949 |
| 0.0734 | 24.0 | 1512 | 2.3761 |
| 0.0342 | 25.0 | 1575 | 2.4951 |
| 0.0686 | 26.0 | 1638 | 2.5017 |
| 0.0281 | 27.0 | 1701 | 2.5199 |
| 0.0262 | 28.0 | 1764 | 2.5461 |
| 0.0346 | 29.0 | 1827 | 2.5469 |
| 0.0261 | 30.0 | 1890 | 2.5541 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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