pythia-410m-sft-full

This model is a fine-tuned version of EleutherAI/pythia-410m on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5227

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.5136 1.0 500 1.5227

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.2.1
  • Datasets 2.14.6
  • Tokenizers 0.15.2

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 31.12
AI2 Reasoning Challenge (25-Shot) 26.54
HellaSwag (10-Shot) 40.00
MMLU (5-Shot) 25.49
TruthfulQA (0-shot) 40.21
Winogrande (5-shot) 53.43
GSM8k (5-shot) 1.06
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Dataset used to train nnheui/pythia-410m-sft-full