Downloads · 30 days
3
23% of all-time downloads
mymodel
rajparmar/mymodel
mymodel is a machine learning model from rajparmar. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
13
Public
Repo size
623 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors311 MB · 99%
At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024
- SHA
- 8a2d698e
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. -->
my_tuned_json_data_model
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the None 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: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.4.0
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.13.0
- Tokenizers 0.14.1
- Library
- peft
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024