bbdeci7b-sft-lora
This model is a fine-tuned version of Deci/DeciLM-7B on HuggingFaceH4/ultrachat_200k It achieves the following results on the evaluation set:
- Loss: 1.0110
Model description
more information to come soon
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
- num_devices: 2
- gradient_accumulation_steps: 128
- total_train_batch_size: 1024
- total_eval_batch_size: 16
- 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 |
|---|---|---|---|
| 1.0062 | 1.00 | 136 | 1.0110 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for rohansolo/bbdeci7b-sft-lora
Base model
Deci/DeciLM-7B