smol-3b / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: GeneZC/MiniChat-1.5-3B
model-index:
  - name: smol-3b
    results: []

smol-3b

This model is a fine-tuned version of GeneZC/MiniChat-1.5-3B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 10.6857

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: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 128
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
11.2151 0.16 3 10.6857

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.1+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.0

Training procedure

Framework versions

  • PEFT 0.6.1