deberta-v3-base_Climate_LRTC

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.0913
• Macro Precision: 0.0114
• Macro F1: 0.0209

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro Precision	Macro F1
No log	1.0	54	nan	0.0913	0.0114	0.0209
No log	2.0	108	nan	0.0913	0.0114	0.0209
No log	3.0	162	nan	0.0913	0.0114	0.0209
No log	4.0	216	nan	0.0913	0.0114	0.0209
No log	5.0	270	nan	0.0913	0.0114	0.0209
No log	6.0	324	nan	0.0913	0.0114	0.0209
No log	7.0	378	nan	0.0913	0.0114	0.0209
No log	8.0	432	nan	0.0913	0.0114	0.0209
No log	9.0	486	nan	0.0913	0.0114	0.0209
2.0255	10.0	540	nan	0.0913	0.0114	0.0209
2.0255	11.0	594	nan	0.0913	0.0114	0.0209
2.0255	12.0	648	nan	0.0913	0.0114	0.0209

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2