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mamba-summarization-t3a – AI Model by nilnguyen | AlphaNeural AI
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mamba-summarization-t3a
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peft
safetensors
trl
sft
generated_from_trainer
state-spaces/mamba-130m-hf
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mamba-summarization-t3a
This model is a fine-tuned version of
state-spaces/mamba-130m-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9501
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.817
0.16
20
2.9494
2.7893
0.32
40
2.9502
2.7671
0.48
60
2.9500
2.8135
0.64
80
2.9504
2.7861
0.8
100
2.9512
2.7877
0.96
120
2.9501
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.19.1
