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output
worde-byte/output
output is a machine learning model from worde-byte. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors164 MB · 99%
At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Dec 15, 2023
- SHA
- e4114d13
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
output
This model is a fine-tuned version of upstage/SOLAR-10.7B-Instruct-v1.0 on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- 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: 40
Training results
Framework versions
- PEFT 0.5.0
- Transformers 4.36.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.15.0
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Dec 14, 2023
- Updated
- Dec 15, 2023