ceb-tl-model

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

• Loss: 0.6649
• Bleu: 3.6178
• Gen Len: 18.154

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.0551	1.0	6516	0.9019	2.8382	18.183
0.879	2.0	13032	0.7772	3.1412	18.182
0.7844	3.0	19548	0.7146	3.4508	18.18
0.728	4.0	26064	0.6773	3.5651	18.17
0.6838	5.0	32580	0.6649	3.6178	18.154

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0