File size: 1,980 Bytes
1298c28 6aa7882 1298c28 73d035f 1298c28 a4a11e7 1298c28 9fbc72e 1298c28 4be25dd 1298c28 73d035f a4a11e7 1298c28 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: bertin-project/bertin-roberta-base-spanish
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: my-model-Bertin-Sentimento
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. -->
# my-model-Bertin-Sentimento
This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2665
- Accuracy: 0.9484
- F1: 0.8000
- Precision: 0.9412
- Recall: 0.6957
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.35 | 1.0 | 91 | 0.2157 | 0.8516 | 0.0 | 0.0 | 0.0 |
| 0.2706 | 2.0 | 182 | 0.4638 | 0.9097 | 0.5625 | 1.0 | 0.3913 |
| 0.136 | 3.0 | 273 | 0.6050 | 0.9032 | 0.5161 | 1.0 | 0.3478 |
| 0.0675 | 4.0 | 364 | 0.3015 | 0.9484 | 0.7895 | 1.0 | 0.6522 |
| 0.0154 | 5.0 | 455 | 0.2665 | 0.9484 | 0.8000 | 0.9412 | 0.6957 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|