metadata
license: apache-2.0
base_model: Liberty-L/Multiple_Choice_EN
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Multiple_Choice_EN
results: []
Multiple_Choice_EN
This model is a fine-tuned version of Liberty-L/Multiple_Choice_EN on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2955
- Accuracy: 0.5
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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0265 | 1.0 | 1059 | 5.4158 | 0.4896 |
| 0.009 | 2.0 | 2118 | 6.2986 | 0.4972 |
| 0.0227 | 3.0 | 3177 | 6.3933 | 0.4903 |
| 0.3182 | 4.0 | 4237 | 2.2352 | 0.5007 |
| 0.2818 | 5.0 | 5295 | 2.2955 | 0.5 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0