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Mental-Gemma-2b-V1

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metadata
license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: google/gemma-2b
model-index:
  - name: Mental-Gemma-2b-V1
    results: []

Mental-Gemma-2b-V1

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

  • eval_loss: 2.2063
  • eval_runtime: 109.4319
  • eval_samples_per_second: 8.754
  • eval_steps_per_second: 2.193
  • epoch: 8.97
  • step: 16300

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: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2