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m2m-amharic-antonym2-augmented – AI Model by Beck90 | AlphaNeural AI
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m2m-amharic-antonym2-augmented
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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m2m-amharic-antonym2-augmented
This model is a fine-tuned version of
facebook/m2m100_418M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3579
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: 32
eval_batch_size: 32
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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
3.2977
1.0
120
3.0327
0.5746
2.0
240
0.5430
0.3686
3.0
360
0.3841
0.2972
4.0
480
0.3672
0.2932
5.0
600
0.3593
0.2516
6.0
720
0.3555
0.2401
7.0
840
0.3568
0.2117
8.0
960
0.3579
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
