imdatta0_-_pints_paged_adamw_32bit_warmup0.02-awq

Quantization made by Richard Erkhov.

Github

Discord

Request more models

pints_paged_adamw_32bit_warmup0.02 - AWQ

• Model creator: https://huggingface.co/imdatta0/
• Original model: https://huggingface.co/imdatta0/pints_paged_adamw_32bit_warmup0.02/

Original model description:

library_name: transformers tags:

• generated_from_trainer model-index:
• name: pints_paged_adamw_32bit_warmup0.02 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. -->

pints_paged_adamw_32bit_warmup0.02

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.4135

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: 1
• seed: 42
• gradient_accumulation_steps: 2048
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 1

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.3.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1