Transformers
PyTorch
English
t5
text2text-generation
Generated from Trainer
t5-base
text-generation-inference
Instructions to use nouamanetazi/cover-letter-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouamanetazi/cover-letter-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nouamanetazi/cover-letter-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("nouamanetazi/cover-letter-t5-base") - Notebooks
- Google Colab
- Kaggle
cover-letter-t5-base
This model is a fine-tuned version of t5-base on cover letter samples scraped from Indeed and JobHero.
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Downloads last month
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