test5_balanced / README.md
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---
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- zero-shot
- text-classification
model-index:
- name: test5_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. -->
# test5_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: 1.6178
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.767 | 1.0 | 63 | 1.7701 |
| 0.7145 | 2.0 | 126 | 1.7878 |
| 0.6274 | 3.0 | 189 | 1.7128 |
| 0.5223 | 4.0 | 252 | 1.8296 |
| 0.4235 | 5.0 | 315 | 1.8380 |
| 0.3006 | 6.0 | 378 | 1.7538 |
| 0.2062 | 7.0 | 441 | 2.2563 |
| 0.2264 | 8.0 | 504 | 2.1357 |
| 0.0617 | 9.0 | 567 | 2.2696 |
| 0.1367 | 10.0 | 630 | 2.2558 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2