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legal_mt5_large_finetuned_kaggle – AI Model by arpansapkota | AlphaNeural AI
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arpansapkota
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legal_mt5_large_finetuned_kaggle
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-large
finetune
apache-2.0
endpoints_compatible
us
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legal_mt5_large_finetuned_kaggle
This model is a fine-tuned version of
google/mt5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 25.5422
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
31.7515
0.2210
100
26.0136
31.7275
0.4420
200
25.9834
31.5628
0.6630
300
25.8470
31.3764
0.8840
400
25.5422
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
