metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: distilbert-base-uncased-prueba
results: []
distilbert-base-uncased-prueba
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.1391
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 9 | 5.1098 |
| No log | 2.0 | 18 | 4.3598 |
| No log | 3.0 | 27 | 3.8950 |
| No log | 4.0 | 36 | 3.5456 |
| No log | 5.0 | 45 | 3.3521 |
| No log | 6.0 | 54 | 3.2223 |
| No log | 7.0 | 63 | 3.1537 |
| No log | 8.0 | 72 | 3.1391 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1