fc3f0d23e4104794eb241cf79f15caf5

This model is a fine-tuned version of google-t5/t5-3b on the Helsinki-NLP/opus_books [es-ru] dataset. It achieves the following results on the evaluation set:

• Loss: 1.1060
• Data Size: 1.0
• Epoch Runtime: 199.2084
• Bleu: 7.2076

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Bleu
No log	0	0	3.7524	0	12.4820	0.5899
No log	1	419	2.2913	0.0078	15.1499	1.2004
No log	2	838	1.7537	0.0156	19.9795	2.0722
0.0578	3	1257	1.5973	0.0312	27.7522	2.7381
0.0578	4	1676	1.5008	0.0625	36.5261	2.2835
0.1024	5	2095	1.4092	0.125	48.1375	2.8896
0.1995	6	2514	1.3224	0.25	67.0271	3.3076
1.3382	7	2933	1.2267	0.5	112.2036	4.0410
1.1829	8.0	3352	1.1265	1.0	203.4048	5.0579
1.0767	9.0	3771	1.0786	1.0	197.5282	5.8331
1.003	10.0	4190	1.0455	1.0	205.7727	6.1135
0.8931	11.0	4609	1.0482	1.0	202.7724	6.4939
0.8409	12.0	5028	1.0384	1.0	202.4932	6.7421
0.7569	13.0	5447	1.0414	1.0	207.5832	7.0690
0.7269	14.0	5866	1.0515	1.0	197.4377	7.1474
0.6511	15.0	6285	1.0628	1.0	198.6638	7.2989
0.601	16.0	6704	1.1060	1.0	199.2084	7.2076

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.2.0
• Tokenizers 0.22.1