my_French_Dyula_t5_small_model

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

• Loss: 2.8634
• Bleu: 0.006
• Gen Len: 15.3039

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	253	2.9381	0.0037	15.5806
3.1498	2.0	506	2.9202	0.0039	15.5221
3.1498	3.0	759	2.9053	0.0047	15.4942
3.1228	4.0	1012	2.8931	0.0047	15.6193
3.1228	5.0	1265	2.8840	0.0049	15.3963
3.1021	6.0	1518	2.8759	0.0049	15.412
3.1021	7.0	1771	2.8705	0.0051	15.3651
3.0913	8.0	2024	2.8665	0.0052	15.3372
3.0913	9.0	2277	2.8641	0.006	15.3338
3.0785	10.0	2530	2.8634	0.006	15.3039

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1