TinyLlama/TinyLlama-1.1B-Chat-v1.0-enron-finetuned
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the enron-email 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 6
Model tree for marcolorenzi98/tinyllama-enron-v1
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0