finnetuned-tf-base-model

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

• Loss: 0.7519

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	17	1.1922
No log	2.0	34	1.0339
No log	3.0	51	0.9496
No log	4.0	68	0.8874
No log	5.0	85	0.8411
No log	6.0	102	0.8031
No log	7.0	119	0.7797
No log	8.0	136	0.7644
No log	9.0	153	0.7550
No log	10.0	170	0.7519

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1