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mt5-small-finetuned-hard – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-finetuned-hard
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
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mt5-small-finetuned-hard
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: 3.7136
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
19.4837
1.0439
500
3.7332
19.3272
2.0878
1000
3.7136
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
