metadata
license: apache-2.0
base_model: anudaw/temp-0.5-distilled-code-llama
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: temp-0.5-distilled-code-llama
results: []
temp-0.5-distilled-code-llama
This model is a fine-tuned version of anudaw/temp-0.5-distilled-code-llama on an unknown dataset.
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1