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opus-it-pl-v1 – AI Model by clui | AlphaNeural AI
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clui
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opus-it-pl-v1
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-it-en
finetune
apache-2.0
endpoints_compatible
us
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opus-it-pl-v1
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-it-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3595
Bleu: 9.6913
Gen Len: 36.0054
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.0728
1.0
8066
1.6218
7.3281
36.9712
1.8058
2.0
16132
1.4415
8.9077
36.0686
1.6925
3.0
24198
1.3778
9.5031
36.0025
1.6379
4.0
32264
1.3595
9.6913
36.0054
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.19.1
Tokenizers 0.19.1
