Quantization made by Richard Erkhov.
Bloom-1b7-creative-writing-Cont-IT-Step5 - bnb 8bits
Original model description:
license: bigscience-bloom-rail-1.0
base_model: alonzogarbanzo/Bloom-1b7-dialogsum-Cont-IT-Step4
tags:
- generated_from_trainer
model-index:
- name: Bloom-1b7-creative-writing-Cont-IT-Step5
results: []
Bloom-1b7-creative-writing-Cont-IT-Step5
This model is a fine-tuned version of
alonzogarbanzo/Bloom-1b7-dialogsum-Cont-IT-Step4 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Final results: {'loss': 0.0439, 'grad_norm': 1.5330853462219238, 'learning_rate': 3.1914893617021275e-07, 'epoch': 9.89}
Average results: {'train_runtime': 1120.6953, 'train_samples_per_second': 1.695, 'train_steps_per_second': 0.419, 'train_loss': 0.8163050188663158, 'epoch': 9.89}
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
