metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_essay
results: []
bert_essay
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3554
- Mse: 0.3554
- Mae: 0.4632
- R2: 0.6556
- Accuracy: 0.2821
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 433 | 0.3749 | 0.3749 | 0.4772 | 0.6367 | 0.2992 |
| 0.6371 | 2.0 | 866 | 0.3572 | 0.3572 | 0.4653 | 0.6539 | 0.2848 |
| 0.3565 | 3.0 | 1299 | 0.3554 | 0.3554 | 0.4632 | 0.6556 | 0.2821 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2