File size: 1,968 Bytes
e8860cf 72a0381 e8860cf 72a0381 e8860cf |
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 |
---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: Analisis-sentimientos-xml-roberta-2
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. -->
# Analisis-sentimientos-xml-roberta-2
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4452
- Rmse: 0.4436
## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2242 | 1.0 | 642 | 0.1785 | 0.4892 |
| 0.1607 | 2.0 | 1284 | 0.1834 | 0.4844 |
| 0.1161 | 3.0 | 1926 | 0.2248 | 0.4630 |
| 0.0716 | 4.0 | 2568 | 0.2882 | 0.4316 |
| 0.0582 | 5.0 | 3210 | 0.3435 | 0.4441 |
| 0.0487 | 6.0 | 3852 | 0.3672 | 0.4562 |
| 0.0397 | 7.0 | 4494 | 0.3785 | 0.4528 |
| 0.0326 | 8.0 | 5136 | 0.4055 | 0.4493 |
| 0.0276 | 9.0 | 5778 | 0.4224 | 0.4410 |
| 0.0243 | 10.0 | 6420 | 0.4452 | 0.4436 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3
|