metadata
library_name: transformers
license: apache-2.0
base_model: mrm8488/electra-small-finetuned-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: old_electra_pytranscripts
results: []
old_electra_pytranscripts
This model is a fine-tuned version of mrm8488/electra-small-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1743
- Accuracy: 0.2632
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 76 | 2.2813 | 0.2368 |
| No log | 2.0 | 152 | 2.2611 | 0.1579 |
| No log | 3.0 | 228 | 2.2412 | 0.2368 |
| No log | 4.0 | 304 | 2.2222 | 0.2632 |
| No log | 5.0 | 380 | 2.2071 | 0.2632 |
| No log | 6.0 | 456 | 2.1922 | 0.2632 |
| 2.1966 | 7.0 | 532 | 2.1866 | 0.2368 |
| 2.1966 | 8.0 | 608 | 2.1814 | 0.2105 |
| 2.1966 | 9.0 | 684 | 2.1775 | 0.2632 |
| 2.1966 | 10.0 | 760 | 2.1743 | 0.2632 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0