mt5-base-translation-spa-guc

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4465
• Bleu: 3.088
• Gen Len: 16.5468

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.3515	1.0	7668	2.3255	1.2092	16.8878
2.3229	2.0	15336	2.0343	1.3948	16.6967
1.828	3.0	23004	1.8707	1.7948	16.729
1.7692	4.0	30672	1.7654	1.9816	16.5538
3.1073	5.0	38340	1.6878	2.2335	16.6662
1.8726	6.0	46008	1.6280	2.4231	16.566
1.8611	7.0	53676	1.5870	2.5839	16.5724
1.4777	8.0	61344	1.5476	2.7415	16.5651
1.5331	9.0	69012	1.5181	2.8105	16.5862
1.6348	10.0	76680	1.4972	2.9386	16.582
1.2195	11.0	84348	1.4739	2.9339	16.578
1.8651	12.0	92016	1.4647	3.0058	16.5431
1.3484	13.0	99684	1.4537	3.079	16.5513
1.5675	14.0	107352	1.4484	3.0925	16.5496
1.6518	15.0	115020	1.4465	3.088	16.5468

Framework versions

• Transformers 4.35.2
• Pytorch 1.13.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0