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m2m100_pruned_ta-freeze100-finetuned-mcsw-to-en-smallmcswbitext – AI Model by Elaine | AlphaNeural AI
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Elaine
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m2m100_pruned_ta-freeze100-finetuned-mcsw-to-en-smallmcswbitext
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transformers
pytorch
tensorboard
m2m_100
text2text-generation
generated_from_trainer
endpoints_compatible
us
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m2m100_pruned_ta-freeze100-finetuned-mcsw-to-en-smallmcswbitext
This model is a fine-tuned version of
Elaine/m2m100_pruned_ta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7877
Bleu: 31.7539
Gen Len: 27.4
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.4228
0.8
2500
1.7877
31.7539
27.4
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
