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pythia410m-sft-tldr

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metadata
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
  - generated_from_trainer
model-index:
  - name: pythia410m-sft-tldr
    results: []

pythia410m-sft-tldr

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

  • Loss: 2.5290

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss
2.6789 0.2007 183 2.5844
2.5737 0.4013 366 2.5528
2.5499 0.6020 549 2.5367
2.5298 0.8026 732 2.5290

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1