FTM-Data-For-LLM / README.md
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metadata
base_model: ybelkada/falcon-7b-sharded-bf16
tags:
  - generated_from_trainer
model-index:
  - name: FTM-Data-For-LLM
    results: []

FTM-Data-For-LLM

This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 100

Training results

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.13.1
  • Tokenizers 0.13.3