gmra_model_distilbert-base-uncased-distilled-squad_17082023T150913

This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6179
• Accuracy: 0.2575
• F1: 0.0683

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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	F1
No log	1.0	142	1.6182	0.2575	0.0683
No log	2.0	284	1.6184	0.2575	0.0683
No log	2.99	426	1.6182	0.2575	0.0683
1.6013	4.0	569	1.6181	0.2575	0.0683
1.6013	5.0	711	1.6182	0.2575	0.0683
1.6013	6.0	853	1.6179	0.2575	0.0683
1.6013	6.99	995	1.6180	0.2575	0.0683
1.6032	8.0	1138	1.6179	0.2575	0.0683
1.6032	9.0	1280	1.6177	0.2575	0.0683
1.6032	9.98	1420	1.6179	0.2575	0.0683

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3