metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: modelo_entrenado_03
results: []
modelo_entrenado_03
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8773
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-08
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 2 | 3.0317 |
No log | 2.0 | 4 | 3.2466 |
No log | 3.0 | 6 | 2.8743 |
No log | 4.0 | 8 | 3.1765 |
No log | 5.0 | 10 | 2.9545 |
No log | 6.0 | 12 | 2.9224 |
No log | 7.0 | 14 | 2.6441 |
No log | 8.0 | 16 | 3.1026 |
No log | 9.0 | 18 | 2.8052 |
No log | 10.0 | 20 | 2.9207 |
No log | 11.0 | 22 | 2.9361 |
No log | 12.0 | 24 | 3.1022 |
No log | 13.0 | 26 | 2.6288 |
No log | 14.0 | 28 | 2.8037 |
No log | 15.0 | 30 | 2.9928 |
No log | 16.0 | 32 | 3.0567 |
No log | 17.0 | 34 | 2.9547 |
No log | 18.0 | 36 | 2.8910 |
No log | 19.0 | 38 | 3.2010 |
No log | 20.0 | 40 | 3.0122 |
No log | 21.0 | 42 | 2.7867 |
No log | 22.0 | 44 | 3.1202 |
No log | 23.0 | 46 | 3.2064 |
No log | 24.0 | 48 | 2.8428 |
No log | 25.0 | 50 | 2.9438 |
No log | 26.0 | 52 | 3.0401 |
No log | 27.0 | 54 | 2.6635 |
No log | 28.0 | 56 | 2.8430 |
No log | 29.0 | 58 | 2.7399 |
No log | 30.0 | 60 | 3.0186 |
No log | 31.0 | 62 | 2.5696 |
No log | 32.0 | 64 | 2.9357 |
No log | 33.0 | 66 | 3.0687 |
No log | 34.0 | 68 | 2.8788 |
No log | 35.0 | 70 | 3.1435 |
No log | 36.0 | 72 | 3.0425 |
No log | 37.0 | 74 | 3.1079 |
No log | 38.0 | 76 | 3.1720 |
No log | 39.0 | 78 | 2.7954 |
No log | 40.0 | 80 | 3.3530 |
No log | 41.0 | 82 | 3.2281 |
No log | 42.0 | 84 | 2.7445 |
No log | 43.0 | 86 | 3.0153 |
No log | 44.0 | 88 | 2.7714 |
No log | 45.0 | 90 | 2.6887 |
No log | 46.0 | 92 | 2.7577 |
No log | 47.0 | 94 | 2.8747 |
No log | 48.0 | 96 | 3.0094 |
No log | 49.0 | 98 | 3.0738 |
No log | 50.0 | 100 | 3.0079 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1