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finetune_rugec_msu – AI Model by mika5883 | AlphaNeural AI
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mika5883
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finetune_rugec_msu
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
mika5883/pretrain_rugec_msu
finetune
text-generation-inference
endpoints_compatible
us
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finetune_rugec_msu
This model is a fine-tuned version of
mika5883/pretrain_rugec_msu
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2252
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: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
78
0.1995
No log
2.0
156
0.1957
No log
3.0
234
0.1926
Framework versions
Transformers 4.45.1
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.0
