metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lenate_model_8
results: []
lenate_model_8
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: 0.3136
- Accuracy: 0.9375
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 | 8 | 0.8432 | 0.7188 |
| No log | 2.0 | 16 | 0.7205 | 0.7188 |
| No log | 3.0 | 24 | 0.6494 | 0.7188 |
| No log | 4.0 | 32 | 0.5616 | 0.7188 |
| No log | 5.0 | 40 | 0.4818 | 0.8438 |
| No log | 6.0 | 48 | 0.4141 | 0.8438 |
| No log | 7.0 | 56 | 0.3831 | 0.875 |
| No log | 8.0 | 64 | 0.3406 | 0.875 |
| No log | 9.0 | 72 | 0.3200 | 0.9375 |
| No log | 10.0 | 80 | 0.3136 | 0.9375 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2