|
--- |
|
license: apache-2.0 |
|
base_model: TinyLlama/TinyLlama_v1.1 |
|
tags: |
|
- random_select |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: TeacherData_llama3-8b-instruct_TinyLlama_v1.1_time202408041800 |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/meteorhammer/random_select/runs/m5kcrram) |
|
# TeacherData_llama3-8b-instruct_TinyLlama_v1.1_time202408041800 |
|
|
|
This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7124 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.7256 | 0.6612 | 100 | 0.7124 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
