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llm_bn_sum – AI Model by Virus-Proton | AlphaNeural AI
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Virus-Proton
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llm_bn_sum
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peft
safetensors
generated_from_trainer
crosssum
hishab/titulm-mpt-1b-v1.0
adapter
apache-2.0
us
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llm_bn_sum
This model is a fine-tuned version of
hishab/titulm-1b-bn-v1
on the crosssum 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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
2023
nan
0.0
2.0
4046
nan
0.0
3.0
6069
nan
0.0
4.0
8092
nan
0.0
5.0
10115
nan
0.0
6.0
12138
nan
0.0
7.0
14161
nan
0.0
8.0
16184
nan
0.0
9.0
18207
nan
0.0
10.0
20230
nan
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.1.0
Tokenizers 0.15.2
