my_first_translator_with_flan_t5_small

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

• Loss: 2.0731
• Bleu: 9.6394
• Gen Len: 19.7632

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	67	2.2736	10.1762	19.6842
No log	2.0	134	2.1891	9.7753	19.718
No log	3.0	201	2.1426	9.3646	19.7444
No log	4.0	268	2.1094	9.244	19.7594
No log	5.0	335	2.0922	9.4982	19.7444
No log	6.0	402	2.0810	9.5297	19.7556
No log	7.0	469	2.0752	9.6427	19.7632
2.555	8.0	536	2.0731	9.6394	19.7632

Framework versions

• Transformers 4.48.2
• Pytorch 2.6.0+cpu
• Datasets 3.2.0
• Tokenizers 0.21.0