|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
- dolly |
|
- ipex |
|
- max series gpu |
|
base_model: microsoft/phi-1_5 |
|
datasets: |
|
- generator |
|
model-index: |
|
- name: lora_phi-1_5 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# lora_phi-1_5 |
|
|
|
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3998 |
|
|
|
## Model description |
|
|
|
This is a fine-tuned version of the [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) model using Parameter Efficient Fine Tuning (PEFT) with Low Rank Adaptation (LoRA) on Intel(R) Data Center GPU Max 1100 and Intel(R) Xeon(R) Platinum 8480+ CPU . |
|
This model can be used for various text generation tasks including chatbots, content creation, and other NLP applications. |
|
|
|
|
|
## Training Hardware |
|
|
|
This model was trained using: GPU: |
|
- Intel(R) Data Center GPU Max 1100 |
|
- CPU: Intel(R) Xeon(R) Platinum 8480+ |
|
|
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- training_steps: 593 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 2.7756 | 0.8065 | 100 | 2.5791 | |
|
| 2.558 | 1.6129 | 200 | 2.4656 | |
|
| 2.4521 | 2.4194 | 300 | 2.4294 | |
|
| 2.4589 | 3.2258 | 400 | 2.4103 | |
|
| 2.4248 | 4.0323 | 500 | 2.3998 | |
|
|
|
|
|
## Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.0.post0+cxx11.abi |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
