cross_amh

This model is a fine-tuned version of castorini/afriteva_v2_base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7276
• Model Preparation Time: 0.0061
• Accuracy: {'accuracy': 0.18509375}

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: 0.0003
• train_batch_size: 64
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy
1.4008	2.2173	5000	1.0351	0.0061	{'accuracy': 0.17328125}
1.0872	4.4346	10000	0.8747	0.0061	{'accuracy': 0.17896875}
0.9522	6.6519	15000	0.8086	0.0061	{'accuracy': 0.18146875}
0.8673	8.8692	20000	0.7648	0.0061	{'accuracy': 0.183390625}
0.7922	11.0865	25000	0.7456	0.0061	{'accuracy': 0.184375}
0.7608	13.3038	30000	0.7276	0.0061	{'accuracy': 0.18509375}

Framework versions

• PEFT 0.7.1
• Transformers 4.43.3
• Pytorch 2.4.0+cu121
• Datasets 2.15.0
• Tokenizers 0.19.1