TinyLlama-1.1B DPO
Collection
Apply SFT and DPO to TinyLlama 1.1B
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4 items
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Updated
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tinyllama-1.1B-intermediate-step-715k-1.5T-sft-lora
This model is a fine-tuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4638
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.459 | 0.7 | 285 | 1.4638 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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