metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: imdb-distilbert-loop
results: []
imdb-distilbert-loop
This model is a fine-tuned version of distilbert-base-uncased on the stanfordnlp/imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3446
- Accuracy: 0.9088
- F1: 0.9088
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: 64
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2892 | 1.0 | 1407 | 0.2450 | 0.9072 | 0.9054 |
| 0.1904 | 2.0 | 2814 | 0.2724 | 0.9076 | 0.9059 |
| 0.1146 | 3.0 | 4221 | 0.3446 | 0.9088 | 0.9088 |
Framework versions
- Transformers 5.8.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2