metadata
license: mit
base_model: racai/distilbert-base-romanian-cased
tags:
- generated_from_trainer
model-index:
- name: sentiment-analysis-model
results: []
sentiment-analysis-model
This model is a fine-tuned version of racai/distilbert-base-romanian-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2801
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 113 | 0.2683 |
| No log | 2.0 | 226 | 0.3323 |
| No log | 3.0 | 339 | 0.2801 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2