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march_27_attention_epoch_2_cuda_64_copymechanism_nepali_GEC – AI Model by bashyaldhiraj2067 | AlphaNeural AI
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march_27_attention_epoch_2_cuda_64_copymechanism_nepali_GEC
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t5
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text-generation-inference
endpoints_compatible
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march_27_attention_epoch_2_cuda_64_copymechanism_nepali_GEC
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2676
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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
4.2694
0.7315
1000
2.3688
2.3921
1.4631
2000
2.2676
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.4.1
Tokenizers 0.21.0
