edyfjm07/distilbert-base-uncased-v6-finetuned-squad-es

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.6561
• Train End Logits Accuracy: 0.5956
• Train Start Logits Accuracy: 0.5459
• Validation Loss: 2.1364
• Validation End Logits Accuracy: 0.5173
• Validation Start Logits Accuracy: 0.4621
• Epoch: 3

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 42350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
2.8723	0.3424	0.3004	2.4112	0.4428	0.3921	0
2.2292	0.4764	0.4263	2.1631	0.5	0.4470	1
1.9022	0.5448	0.4936	2.1014	0.5072	0.4572	2
1.6561	0.5956	0.5459	2.1364	0.5173	0.4621	3

Framework versions

• Transformers 4.41.0
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1