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Experiment-QA-Breeze-7B-Instruct-v1_0 – AI Model by Oliver2019 | AlphaNeural AI
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Oliver2019
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Experiment-QA-Breeze-7B-Instruct-v1_0
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peft
safetensors
generated_from_trainer
MediaTek-Research/Breeze-7B-Instruct-v1_0
adapter
apache-2.0
us
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Experiment-QA-Breeze-7B-Instruct-v1_0
This model is a fine-tuned version of
MediaTek-Research/Breeze-7B-Instruct-v1_0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7361
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.3943
1.0
27
1.9839
1.9857
2.0
54
1.8182
1.8169
3.0
81
1.7600
1.6758
4.0
108
1.7318
1.636
5.0
135
1.7330
1.5205
6.0
162
1.7361
Framework versions
PEFT 0.7.1
Transformers 4.36.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
