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WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT – AI Model by Weni | AlphaNeural AI
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WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
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peft
safetensors
mistral
trl
sft
generated_from_trainer
generator
HuggingFaceH4/zephyr-7b-beta
adapter
mit
us
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WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
This model is a fine-tuned version of
HuggingFaceH4/zephyr-7b-beta
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.4088
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 337
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5761
0.83
50
0.4671
0.4488
1.66
100
0.4409
0.4272
2.49
150
0.4293
0.4145
3.32
200
0.4219
0.3999
4.15
250
0.4155
0.3872
4.98
300
0.4088
Framework versions
PEFT 0.7.1
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.0
