metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: albert_squad_2.0
results: []
albert_squad_2.0
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6320
- Validation Loss: 0.8542
- Epoch: 2
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:
- optimizer: {'name': 'LAMB', 'learning_rate': 3e-05, 'weight_decay': 0.0, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-06, 'exclude_from_weight_decay': None, 'exclude_from_layer_adaptation': None}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.1381 | 0.9066 | 0 |
| 0.7778 | 0.8423 | 1 |
| 0.6320 | 0.8542 | 2 |
Framework versions
- Transformers 4.16.0.dev0
- TensorFlow 2.7.0
- Datasets 1.17.0
- Tokenizers 0.10.3