metadata

base_model: deepseek-ai/deepseek-coder-1.3b-base
datasets:
  - generator
library_name: peft
license: other
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: 1b1c95a3d2cf3aea9520af0a64ac2b76
    results: []

1b1c95a3d2cf3aea9520af0a64ac2b76

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.2408

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: 1.41e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.0354	1.0	1	1.2408

Framework versions

PEFT 0.10.0
Transformers 4.43.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1