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catla-banglat5-en2bn – AI Model by shanjivkr | AlphaNeural AI
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catla-banglat5-en2bn
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peft
safetensors
adapter
lora
transformers
csebuetnlp/banglat5
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catla-banglat5-en2bn
This model is a fine-tuned version of
csebuetnlp/banglat5
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
0.1067
500
nan
0.0
0.2133
1000
nan
0.0
0.32
1500
nan
0.0
0.4267
2000
nan
0.0
0.5333
2500
nan
0.0
0.64
3000
nan
0.0
0.7467
3500
nan
0.0
0.8533
4000
nan
0.0
0.96
4500
nan
Framework versions
PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
