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acegpt_7B_4bit_qlora_xlsum
asas-ai/acegpt_7B_4bit_qlora_xlsum
acegpt_7B_4bit_qlora_xlsum is a machine learning model from asas-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 10, 2023
Repo size
3.2 GB
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Repo makeup
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.pt1.6 GB · 46%
At a glance
- Access
- Public
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023
- SHA
- a01231d6
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. -->
acegpt_7B_4bit_qlora_xlsum
This model is a fine-tuned version of asas-ai/AceGPT-7B_8bit 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1950
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.4.0
- Tokenizers 0.14.1
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023