metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
results: []
distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1971
- F1: 0.8074
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 221 | 0.4626 | 0.4757 |
| No log | 2.0 | 442 | 0.3475 | 0.5249 |
| 0.4696 | 3.0 | 663 | 0.3640 | 0.6746 |
| 0.4696 | 4.0 | 884 | 0.6535 | 0.7937 |
| 0.2406 | 5.0 | 1105 | 1.1971 | 0.8074 |
| 0.2406 | 6.0 | 1326 | 1.2543 | 0.8049 |
| 0.1092 | 7.0 | 1547 | 1.5411 | 0.8000 |
| 0.1092 | 8.0 | 1768 | 1.6698 | 0.8010 |
| 0.1092 | 9.0 | 1989 | 1.7257 | 0.8026 |
| 0.0402 | 10.0 | 2210 | 1.7488 | 0.8014 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1