metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-helpdesk-sentiment
results: []
xlm-roberta-helpdesk-sentiment
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1923
- Accuracy: 0.9556
- F1: 0.9549
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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.88 | 100 | 0.4935 | 0.7889 | 0.7840 |
| No log | 1.77 | 200 | 0.2955 | 0.8889 | 0.8867 |
| No log | 2.65 | 300 | 0.1830 | 0.9111 | 0.9093 |
| No log | 3.54 | 400 | 0.1461 | 0.9444 | 0.9431 |
| 0.5007 | 4.42 | 500 | 0.1554 | 0.9556 | 0.9549 |
| 0.5007 | 5.31 | 600 | 0.1923 | 0.9556 | 0.9549 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3