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mt5-small-to-Tel-easy – AI Model by kallacharanteja | AlphaNeural AI
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kallacharanteja
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mt5-small-to-Tel-easy
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-small-to-Tel-easy
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: 3.8305
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
54.3199
0.4477
500
7.9791
26.1361
0.8955
1000
4.5072
23.0631
1.3430
1500
4.0546
21.8258
1.7907
2000
3.9123
21.3130
2.2382
2500
3.8532
21.0509
2.6859
3000
3.8305
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
