pythia-14m-measurement_pred

This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4923
• Accuracy: 0.25
• Accuracy Sensor 0: 1.0
• Auroc Sensor 0: 0.0
• Accuracy Sensor 1: 0.0
• Auroc Sensor 1: 0.0
• Accuracy Sensor 2: 0.0
• Auroc Sensor 2: 0.0
• Accuracy Aggregated: 0.0
• Auroc Aggregated: 0.0

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: 32
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 64
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Accuracy Sensor 0	Auroc Sensor 0	Accuracy Sensor 1	Auroc Sensor 1	Accuracy Sensor 2	Auroc Sensor 2	Accuracy Aggregated	Auroc Aggregated
No log	1.0	1	3.7439	0.25	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	2.0	2	3.7212	0.25	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	3.0	3	3.6754	0.25	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	4.0	4	3.6005	0.25	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	5.0	5	3.4923	0.25	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1