Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
custom_code
text-generation-inference
Instructions to use llllhd/ChatCare-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llllhd/ChatCare-SFT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("llllhd/ChatCare-SFT", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("llllhd/ChatCare-SFT", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
ChatCare-3epoch-wandb
This model is a fine-tuned version of ClueAI/ChatYuan-large-v2 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Downloads last month
- 9
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support