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jncraton_-_SmolLM-135M-Instruct-Add-gguf
RichardErkhov/jncraton_-_SmolLM-135M-Instruct-Add-gguf
jncraton_-_SmolLM-135M-Instruct-Add-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024
- SHA
- d8a85569
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
SmolLM-135M-Instruct-Add - GGUF
- Model creator: https://huggingface.co/jncraton/
- Original model: https://huggingface.co/jncraton/SmolLM-135M-Instruct-Add/
Original model description:
library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM-135M-Instruct tags:
- trl
- sft
- generated_from_trainer datasets:
- generator model-index:
- name: SmolLM-135M-Instruct-Add results: []
<!-- 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. -->
SmolLM-135M-Instruct-Add
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct on the generator 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024