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mt5-small-finetuned-medium – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-finetuned-medium
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
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mt5-small-finetuned-medium
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.9152
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
23.6513
0.4578
500
4.2624
22.3063
0.9155
1000
4.1012
21.6209
1.3726
1500
4.0121
21.1642
1.8304
2000
3.9515
21.0332
2.2875
2500
3.9277
20.8154
2.7453
3000
3.9152
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
