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Danube_finetuned

PEFT
Safetensors
trl
sft
Generated from Trainer
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Danube_finetuned / README.md
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metadata
base_model: h2oai/h2o-danube-1.8b-chat
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Danube_finetuned
    results: []

Visualize in Weights & Biases

Danube_finetuned

This model is a fine-tuned version of h2oai/h2o-danube-1.8b-chat on an unknown dataset.

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • training_steps: 250
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1