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gpt-j-fin
keonju/gpt-j-fin
gpt-j-fin is a machine learning model from keonju. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model can be easily loaded using the AutoModelForCausalLM functionality:
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Public
Updated Apr 3, 2023
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6.6 GB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 23, 2023
- Updated
- Apr 3, 2023
- SHA
- c9939d24
Model card
From the Hugging Face model README
How to use
This model can be easily loaded using the AutoModelForCausalLM functionality:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("keonju/gpt-j-fin")
model = AutoModelForCausalLM.from_pretrained("keonju/gpt-j-fin")
gpt-j-fin
This model is a fine-tuned version of EleutherAI/gpt-j-6B on the None 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: 0.0002
- 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: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- License
- apache-2.0
- Created
- Mar 23, 2023
- Updated
- Apr 3, 2023