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bloom-bigscience-bloom-560m

PEFT
Safetensors
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metadata
base_model: bigscience/bloom-560m
library_name: peft
license: bigscience-bloom-rail-1.0
tags:
  - generated_from_trainer
model-index:
  - name: bloom-bigscience-bloom-560m
    results: []

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bloom-bigscience-bloom-560m

This model is a fine-tuned version of bigscience/bloom-560m 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: 0.0003
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.42.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.19.1