roberta-base_Climate_LRTC

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

• Loss: 2.3055
• Accuracy: 0.3059
• Macro Precision: 0.2071
• Macro F1: 0.2024

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	2.0799	0.2283	0.0285	0.0465
No log	2.0	108	2.0098	0.2694	0.1451	0.1515
No log	3.0	162	1.9431	0.1644	0.1181	0.1167
No log	4.0	216	1.9499	0.1963	0.1930	0.1561
No log	5.0	270	1.9524	0.2192	0.2342	0.1982
No log	6.0	324	2.0069	0.2648	0.2232	0.2092
No log	7.0	378	2.0393	0.2877	0.1995	0.1980
No log	8.0	432	2.1675	0.3151	0.2590	0.2438
No log	9.0	486	2.1879	0.3242	0.2509	0.2445
1.4214	10.0	540	2.2435	0.2922	0.1962	0.1908
1.4214	11.0	594	2.3314	0.3014	0.2107	0.2060
1.4214	12.0	648	2.3055	0.3059	0.2071	0.2024

Framework versions

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