metadata
library_name: transformers
license: apache-2.0
base_model: mrm8488/electra-small-finetuned-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_interview_new
results: []
electra_interview_new
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: 2.3959
- Accuracy: 0.2675
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: 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 | 380 | 2.6074 | 0.2266 |
| 2.7429 | 2.0 | 760 | 2.4872 | 0.2266 |
| 2.5203 | 3.0 | 1140 | 2.4483 | 0.2266 |
| 2.4479 | 4.0 | 1520 | 2.4349 | 0.2266 |
| 2.4479 | 5.0 | 1900 | 2.4114 | 0.2306 |
| 2.3919 | 6.0 | 2280 | 2.3933 | 0.2424 |
| 2.2714 | 7.0 | 2660 | 2.3914 | 0.2530 |
| 2.1536 | 8.0 | 3040 | 2.3968 | 0.2714 |
| 2.1536 | 9.0 | 3420 | 2.3913 | 0.2648 |
| 2.1058 | 10.0 | 3800 | 2.3959 | 0.2675 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1