metadata
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-multilingual-cased_regression_finetuned_ptt
results: []
distilbert-base-multilingual-cased_regression_finetuned_ptt
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8821
- Mse: 1.8821
- Mae: 1.0167
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 206
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
|---|---|---|---|---|---|
| 1.9083 | 1.0 | 2062 | 1.8817 | 1.8817 | 1.0139 |
| 1.937 | 2.0 | 4124 | 1.8821 | 1.8821 | 1.0167 |
| 1.8841 | 3.0 | 6186 | 1.8812 | 1.8812 | 1.0160 |
| 1.7777 | 4.0 | 8248 | 1.8810 | 1.8810 | 1.0152 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2