|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
base_model: allenai/OLMo-1B-hf |
|
datasets: |
|
- Ritvik19/open-hermes-2_5-reformatted |
|
model-index: |
|
- name: openhermes-1b-olmo-sft-qlora |
|
results: [] |
|
--- |
|
|
|
**Note**: This model card has been generated automatically according to the information the Trainer had access to. |
|
Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description. |
|
|
|
# openhermes-1b-olmo-sft-qlora |
|
|
|
This model is a fine-tuned version of [allenai/OLMo-1B-hf](https://huggingface.co/allenai/OLMo-1B-hf) on the Ritvik19/open-hermes-2_5-reformatted dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4363 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0002 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 128 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.2568 | 0.9996 | 1523 | 1.4363 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.40.1 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
