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epoch
float64 | total_flos
float64 | train_loss
float64 | train_runtime
float64 | train_samples_per_second
float64 | train_steps_per_second
float64 |
|---|---|---|---|---|---|
1.981308 | 10,785,225,147,678,720 | 2.943504 | 1,048.2079 | 1.631 | 0.101 |
train_2024-05-05-10-57-50
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the Reseacrhed_data 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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