|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
base_model: Josephgflowers/TinyLlama-Cinder-Tiny-Agent |
|
model-index: |
|
- name: TinyLlama-Cinder-Agent-v1 |
|
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. --> |
|
|
|
# TinyLlama-Cinder-New-Tokenizer-Test |
|
|
|
This model is a fine-tuned version of [Josephgflowers/TinyLlama-Cinder-Tiny-Agent](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Tiny-Agent) on an unknown 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: 5e-05 |
|
- train_batch_size: 12 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__TinyLlama-Cinder-Agent-v1) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |39.17| |
|
|AI2 Reasoning Challenge (25-Shot)|34.90| |
|
|HellaSwag (10-Shot) |53.87| |
|
|MMLU (5-Shot) |26.89| |
|
|TruthfulQA (0-shot) |39.08| |
|
|Winogrande (5-shot) |59.12| |
|
|GSM8k (5-shot) |21.15| |
|
|
|
|