ottomoritz/TriboliumGPN

your_output_dir

This model is a fine-tuned version of on the ottomoritz/TriboliumCastaneum dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 1000
• training_steps: 120000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.217	0.0833	10000	nan
1.1568	0.1667	20000	nan
1.1522	0.25	30000	nan
1.1443	0.3333	40000	nan
1.1404	0.4167	50000	nan
1.1329	0.5	60000	nan
1.1323	0.5833	70000	nan
1.1292	0.6667	80000	nan
1.1264	0.75	90000	nan
1.1312	0.8333	100000	nan
1.1305	0.9167	110000	nan
1.1285	1.0	120000	nan

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1