devchat-llama-7b
This model is a fine-tuned version of openlm-research/open_llama_7b_v2 on over 5000 examples for 3 epochs on provided datasets:
-
garage-bAInd/Open-Platypus
-
sahil2801/CodeAlpaca-20k
-
theblackcat102/evol-codealpaca-v1
Model description
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3