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WeniGPT-2.1.1-zephyr-7b-beta-BitsandBytes-LLM-Base-1.0.1-6k_evol_complexity_increase_steps – AI Model by Weni | AlphaNeural AI
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WeniGPT-2.1.1-zephyr-7b-beta-BitsandBytes-LLM-Base-1.0.1-6k_evol_complexity_increase_steps
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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-2.1.1-zephyr-7b-beta-BitsandBytes-LLM-Base-1.0.1-6k_evol_complexity_increase_steps
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: 0.3968
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: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 252
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.99
34
0.4474
0.563
2.0
69
0.4172
0.4141
2.99
103
0.4064
0.4141
4.0
138
0.4008
0.3912
4.99
172
0.3978
0.3778
6.0
207
0.3971
0.3778
6.99
241
0.3968
0.3722
7.3
252
0.3968
Framework versions
PEFT 0.7.1
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.0
