---
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: test11_balanced_50ep
  results: []
pipeline_tag: text-classification
---

<!-- 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. -->

# test11_balanced_50ep

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: 2.0764
- Accuracy: 0.5294
- F1: 0.5256

## 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: 2e-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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.8494        | 1.0   | 70   | 2.8328          | 0.0588   | 0.0065 |
| 2.8418        | 2.0   | 140  | 2.8317          | 0.0588   | 0.0067 |
| 2.8254        | 3.0   | 210  | 2.8274          | 0.0647   | 0.0110 |
| 2.8363        | 4.0   | 280  | 2.8299          | 0.0529   | 0.0233 |
| 2.8395        | 5.0   | 350  | 2.8267          | 0.0765   | 0.0465 |
| 2.8157        | 6.0   | 420  | 2.8273          | 0.0824   | 0.0654 |
| 2.7264        | 7.0   | 490  | 2.7849          | 0.1059   | 0.0680 |
| 2.6251        | 8.0   | 560  | 2.7422          | 0.1529   | 0.0842 |
| 2.5134        | 9.0   | 630  | 2.6863          | 0.1412   | 0.0848 |
| 2.4186        | 10.0  | 700  | 2.6497          | 0.1765   | 0.1244 |
| 2.3482        | 11.0  | 770  | 2.6209          | 0.1471   | 0.0887 |
| 2.1749        | 12.0  | 840  | 2.6347          | 0.1529   | 0.1056 |
| 2.1659        | 13.0  | 910  | 2.5642          | 0.2176   | 0.1774 |
| 1.9836        | 14.0  | 980  | 2.5690          | 0.2294   | 0.1915 |
| 1.9313        | 15.0  | 1050 | 2.5759          | 0.2588   | 0.2225 |
| 1.7556        | 16.0  | 1120 | 2.5060          | 0.2529   | 0.2016 |
| 1.6241        | 17.0  | 1190 | 2.3977          | 0.3353   | 0.3119 |
| 1.5035        | 18.0  | 1260 | 2.4009          | 0.3059   | 0.2652 |
| 1.4646        | 19.0  | 1330 | 2.2717          | 0.3824   | 0.3651 |
| 1.3803        | 20.0  | 1400 | 2.3232          | 0.3529   | 0.3405 |
| 1.2347        | 21.0  | 1470 | 2.2476          | 0.3941   | 0.3904 |
| 1.1416        | 22.0  | 1540 | 2.2397          | 0.3706   | 0.3551 |
| 1.0879        | 23.0  | 1610 | 2.2348          | 0.3588   | 0.3546 |
| 0.9444        | 24.0  | 1680 | 2.1676          | 0.4118   | 0.4154 |
| 0.8462        | 25.0  | 1750 | 2.0285          | 0.4824   | 0.4928 |
| 0.7912        | 26.0  | 1820 | 2.0156          | 0.4765   | 0.4724 |
| 0.7106        | 27.0  | 1890 | 2.0294          | 0.4882   | 0.4871 |
| 0.6734        | 28.0  | 1960 | 2.0707          | 0.4588   | 0.4588 |
| 0.571         | 29.0  | 2030 | 1.9563          | 0.5059   | 0.5114 |
| 0.5605        | 30.0  | 2100 | 1.9666          | 0.5176   | 0.5124 |
| 0.474         | 31.0  | 2170 | 1.9746          | 0.5118   | 0.5187 |
| 0.4498        | 32.0  | 2240 | 2.0250          | 0.5059   | 0.5016 |
| 0.3727        | 33.0  | 2310 | 1.9343          | 0.5294   | 0.5366 |
| 0.4182        | 34.0  | 2380 | 1.9686          | 0.5176   | 0.5163 |
| 0.3712        | 35.0  | 2450 | 1.9111          | 0.5294   | 0.5329 |
| 0.3055        | 36.0  | 2520 | 1.8849          | 0.5353   | 0.5365 |
| 0.2612        | 37.0  | 2590 | 2.0725          | 0.5235   | 0.5175 |
| 0.2258        | 38.0  | 2660 | 1.9393          | 0.5294   | 0.5290 |
| 0.175         | 39.0  | 2730 | 1.9869          | 0.5294   | 0.5265 |
| 0.1632        | 40.0  | 2800 | 2.0229          | 0.5118   | 0.5090 |
| 0.2105        | 41.0  | 2870 | 1.9864          | 0.5176   | 0.5151 |
| 0.173         | 42.0  | 2940 | 2.0138          | 0.5294   | 0.5278 |
| 0.1341        | 43.0  | 3010 | 2.0270          | 0.5529   | 0.5473 |
| 0.1599        | 44.0  | 3080 | 2.0372          | 0.5412   | 0.5376 |
| 0.1529        | 45.0  | 3150 | 2.0411          | 0.5412   | 0.5353 |
| 0.1248        | 46.0  | 3220 | 2.0776          | 0.5235   | 0.5213 |
| 0.1761        | 47.0  | 3290 | 2.0376          | 0.5294   | 0.5271 |
| 0.134         | 48.0  | 3360 | 2.0721          | 0.5294   | 0.5256 |
| 0.1014        | 49.0  | 3430 | 2.0854          | 0.5294   | 0.5247 |
| 0.1106        | 50.0  | 3500 | 2.0764          | 0.5294   | 0.5256 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2