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mt5-finetuned-easy-v2 – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-finetuned-easy-v2
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-finetuned-easy-v2
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: 4.9513
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
65.0991
0.4080
500
10.7504
34.0303
0.8160
1000
6.1853
28.7775
1.2236
1500
5.1882
27.4133
1.6316
2000
4.9513
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
