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mt5-aym-lex – AI Model by alvations | AlphaNeural AI
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alvations
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mt5-aym-lex
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-aym-lex
This model is a fine-tuned version of
alvations/mt5-aym-lex
on the None dataset. It achieves the following results on the evaluation set:
Bleu: 3.1238
Chrf: 24.4605
Gen Len: 17.3872
Loss: 0.1883
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 600
Training results
Training Loss
Epoch
Step
Bleu
Chrf
Gen Len
Validation Loss
0.067
4.86
20000
2.9344
24.2586
17.5005
0.1844
0.065
9.71
40000
3.1238
24.4605
17.3872
0.1883
Framework versions
Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
