lora/bigcode/starcoder2-3b/README.md

metadata

license: bigcode-openrail-m
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - fals3/methods2test_small
metrics:
  - accuracy
base_model: bigcode/starcoder2-3b
model-index:
  - name: output
    results:
      - task:
          type: text-generation
          name: Causal Language Modeling
        dataset:
          name: fals3/methods2test_small fm+fc+c+m+f+t+tc
          type: fals3/methods2test_small
          args: fm+fc+c+m+f+t+tc
        metrics:
          - type: accuracy
            value: 0.7199034201039461
            name: Accuracy

output

This model is a fine-tuned version of bigcode/starcoder2-3b on the fals3/methods2test_small fm+fc+c+m+f+t+tc dataset. It achieves the following results on the evaluation set:

• Loss: 0.7311
• Accuracy: 0.7199

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: 0.0003
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• total_eval_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.41.0.dev0
• Pytorch 2.2.1+cu118
• Datasets 2.17.1
• Tokenizers 0.19.1