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mt5-small-to-Tel-medium – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-to-Tel-medium
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-small-to-Tel-medium
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.8135
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
20.8301
0.8584
500
3.8613
20.5295
1.7159
1000
3.8323
20.4241
2.5734
1500
3.8135
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
