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trained-una-cybertron-7b-v2-bf16 – AI Model by jaigouk | AlphaNeural AI
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trained-una-cybertron-7b-v2-bf16
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transformers
safetensors
mistral
text-generation
generated_from_trainer
conversational
fblgit/una-cybertron-7b-v2-bf16
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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trained-una-cybertron-7b-v2-bf16
This model is a fine-tuned version of
fblgit/una-cybertron-7b-v2-bf16
on an
https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby
.
It achieves the following results on the evaluation set:
Loss: 1.0274
Model description
intention is to use this with system message for generating ruby codes
Intended uses & limitations
writing rspec / ruby codes
Training and evaluation data
https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby
https://huggingface.co/datasets/Nan-Do/instructional_code-search-net-ruby
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.0859
0.39
50
1.0936
1.036
0.78
100
1.0274
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.14.1
