final_tcc_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: 0.7783
• Sacrebleu: 7.6467
• Gen Len: 17.9035

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu	Gen Len
No log	1.0	275	0.8201	7.1607	17.8917
0.9564	2.0	550	0.7971	7.3848	17.9008
0.9564	3.0	825	0.7862	7.5097	17.909
0.8977	4.0	1100	0.7803	7.5882	17.9035
0.8977	5.0	1375	0.7783	7.6467	17.9035

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cpu
• Datasets 2.13.0
• Tokenizers 0.13.3