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hoa1b4_finetuned_kc_June25th – AI Model by Kudod | AlphaNeural AI
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hoa1b4_finetuned_kc_June25th
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peft
safetensors
generated_from_trainer
vlsp-2023-vllm/hoa-1b4
adapter
bigscience-bloom-rail-1.0
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hoa1b4_finetuned_kc_June25th
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: 0.4897
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: 4e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.0194
1.0
788
0.8371
0.6667
2.0
1576
0.6302
0.4821
3.0
2364
0.5443
0.3908
4.0
3152
0.5020
0.3424
5.0
3940
0.4897
Framework versions
PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
