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End of training
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metadata
license: gemma
base_model: google/gemma-2-2b
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: 128R-1024F-gemma-2-2b_hs2_iter1_sftsd0
    results: []

128R-1024F-gemma-2-2b_hs2_iter1_sftsd0

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2352
  • Num Input Tokens Seen: 519056

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: 8e-06
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 0
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Input Tokens Seen
No log 0 0 1.3956 0
1.3425 0.5556 5 1.2163 291296

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1