metadata
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: albert-base-v2-finetuned-squad
results: []
albert-base-v2-finetuned-squad
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8715
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8849 | 1.0 | 2062 | 0.8160 |
| 0.7038 | 2.0 | 4124 | 0.8003 |
| 0.5181 | 3.0 | 6186 | 0.8715 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.2