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Lora_500_last_question_wikiqa_without_label – AI Model by Luongdzung | AlphaNeural AI
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Luongdzung
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Lora_500_last_question_wikiqa_without_label
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peft
tensorboard
safetensors
generated_from_trainer
vlsp-2023-vllm/hoa-1b4
adapter
bigscience-bloom-rail-1.0
us
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Lora_500_last_question_wikiqa_without_label
This model is a fine-tuned version of
vlsp-2023-vllm/hoa-1b4
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4167
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: 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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.5428
1.0
50
0.5731
0.5035
2.0
100
0.4244
0.4883
3.0
150
0.4167
Framework versions
PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1
