loha_fine_tuned_cb_t5

This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.3182
• F1: 0.1536

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 400
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0	3.5714	50	nan	0.3182	0.1536
0.0	7.1429	100	nan	0.3182	0.1536
0.0	10.7143	150	nan	0.3182	0.1536
0.0	14.2857	200	nan	0.3182	0.1536
0.0	17.8571	250	nan	0.3182	0.1536
0.0	21.4286	300	nan	0.3182	0.1536
0.0	25.0	350	nan	0.3182	0.1536
0.0	28.5714	400	nan	0.3182	0.1536

Framework versions

• PEFT 0.11.1
• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1