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e2m_denoise_finetuned – AI Model by smitmenon | AlphaNeural AI
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smitmenon
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e2m_denoise_finetuned
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
flores
smitmenon/e2m_endenoise_project
finetune
endpoints_compatible
us
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e2m_denoise_finetuned
This model is a fine-tuned version of
smitmenon/e2m_endenoise_project
on the flores dataset. It achieves the following results on the evaluation set:
Loss: 0.5925
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.609
1.0
125
0.5857
0.4397
2.0
250
0.5925
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
