Instructions to use Femboyuwu2000/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Femboyuwu2000/tmp_trainer with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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Download README.md from Femboyuwu2000/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
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https://huggingface.co/Femboyuwu2000/tmp_trainer/resolve/main/README.md
- Command line
-
hf download hf://Femboyuwu2000/tmp_trainer/README.md
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curl -L -o README.md https://huggingface.co/Femboyuwu2000/tmp_trainer/resolve/main/README.md
1.09 kB
metadata
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: bigscience/bloomz-1b1
model-index:
- name: tmp_trainer
results: []
tmp_trainer
This model is a fine-tuned version of bigscience/bloomz-1b1 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2