|
--- |
|
license: apache-2.0 |
|
base_model: jan-hq/LlamaCorn-1.1B-Chat |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
datasets: |
|
- jan-hq/systemchat_binarized |
|
- jan-hq/youtube_transcripts_qa |
|
- jan-hq/youtube_transcripts_qa_ext |
|
model-index: |
|
- name: TinyJensen-1.1B-Chat |
|
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. --> |
|
|
|
# TinyJensen-1.1B-Chat |
|
|
|
This model is a fine-tuned version of [jan-hq/LlamaCorn-1.1B-Chat](https://huggingface.co/jan-hq/LlamaCorn-1.1B-Chat) on the jan-hq/systemchat_binarized, the jan-hq/youtube_transcripts_qa and the jan-hq/youtube_transcripts_qa_ext datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8771 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.8226 | 1.0 | 207 | 0.8232 | |
|
| 0.6608 | 2.0 | 414 | 0.7941 | |
|
| 0.526 | 3.0 | 621 | 0.8186 | |
|
| 0.4388 | 4.0 | 829 | 0.8643 | |
|
| 0.3888 | 4.99 | 1035 | 0.8771 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.0 |
|
|
