metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lenate_model_10
results: []
lenate_model_10
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1105
- Accuracy: 0.9640
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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 28 | 0.7205 | 0.9189 |
| No log | 2.0 | 56 | 0.2958 | 0.9550 |
| No log | 3.0 | 84 | 0.1696 | 0.9550 |
| No log | 4.0 | 112 | 0.1309 | 0.9550 |
| No log | 5.0 | 140 | 0.1216 | 0.9550 |
| No log | 6.0 | 168 | 0.1105 | 0.9640 |
| No log | 7.0 | 196 | 0.1173 | 0.9550 |
| No log | 8.0 | 224 | 0.1159 | 0.9550 |
| No log | 9.0 | 252 | 0.1164 | 0.9550 |
| No log | 10.0 | 280 | 0.1181 | 0.9550 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2