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m2m100-ur-pa-fyp – AI Model by syedaafatima145 | AlphaNeural AI
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m2m100-ur-pa-fyp
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peft
safetensors
adapter
lora
transformers
facebook/m2m100_418M
mit
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m2m100-ur-pa-fyp
This model is a fine-tuned version of
facebook/m2m100_418M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 13.1779
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: 0.0001
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
57.6743
1.0
600
13.3021
53.5617
2.0
1200
13.2270
53.2764
3.0
1800
13.1974
53.1751
4.0
2400
13.1829
53.0606
5.0
3000
13.1779
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
