|
--- |
|
license: llama3 |
|
base_model: maywell/Llama-3-Ko-Luxia-Instruct |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: data/output/1min-v2-luxia-8b |
|
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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
<details><summary>See axolotl config</summary> |
|
|
|
axolotl version: `0.4.0` |
|
```yaml |
|
base_model: maywell/Llama-3-Ko-Luxia-Instruct |
|
trust_remote_code: true |
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
datasets: |
|
- path: "../data/generated_ds.json" |
|
type: alpaca |
|
conversation: chatml |
|
dataset_prepared_path: ../data/dataset_v2_pre |
|
val_set_size: 0.05 |
|
output_dir: ../data/output/1min-v2-luxia-8b |
|
sequence_len: 1024 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
eval_sample_packing: false |
|
wandb_project: |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
gradient_accumulation_steps: 4 |
|
micro_batch_size: 1 |
|
num_epochs: 10 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 2e-6 |
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: null |
|
tf32: false |
|
gradient_checkpointing: true |
|
early_stopping_patience: null |
|
resume_from_checkpoint: null |
|
local_rank: null |
|
logging_steps: 1 |
|
xformers_attention: null |
|
flash_attention: true |
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: null |
|
eval_max_new_tokens: 128 |
|
saves_per_epoch: 1 |
|
save_total_limit: 4 |
|
debug: true |
|
deepspeed: deepspeed_configs/zero2.json |
|
weight_decay: 0.0 |
|
special_tokens: |
|
pad_token: <|end_of_text|> |
|
``` |
|
|
|
</details><br> |
|
|
|
# data/output/1min-v2-luxia-8b |
|
|
|
This model is a fine-tuned version of [maywell/Llama-3-Ko-Luxia-Instruct](https://huggingface.co/maywell/Llama-3-Ko-Luxia-Instruct) on the manipulated [instructkr/ko_youtube_transcription_v2_filtered](https://huggingface.co/datasets/instructkr/ko_youtube_transcription_v2_filtered) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0986 |
|
|
|
## 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: 2e-06 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 7 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 28 |
|
- total_eval_batch_size: 7 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 2.6145 | 0.0513 | 1 | 2.7217 | |
|
| 2.7668 | 0.2564 | 5 | 2.7018 | |
|
| 2.6304 | 0.5128 | 10 | 2.5065 | |
|
| 2.3635 | 0.7692 | 15 | 2.3580 | |
|
| 2.4553 | 1.0256 | 20 | 2.2813 | |
|
| 2.2344 | 1.2436 | 25 | 2.2339 | |
|
| 2.4562 | 1.5 | 30 | 2.2017 | |
|
| 2.0943 | 1.7564 | 35 | 2.1726 | |
|
| 2.0695 | 2.0128 | 40 | 2.1425 | |
|
| 1.8616 | 2.2308 | 45 | 2.1171 | |
|
| 2.0498 | 2.4872 | 50 | 2.1040 | |
|
| 1.9028 | 2.7436 | 55 | 2.0984 | |
|
| 1.9057 | 3.0 | 60 | 2.0841 | |
|
| 1.7464 | 3.2179 | 65 | 2.0784 | |
|
| 1.8284 | 3.4744 | 70 | 2.0788 | |
|
| 1.8866 | 3.7308 | 75 | 2.0761 | |
|
| 1.8927 | 3.9872 | 80 | 2.0673 | |
|
| 1.5778 | 4.2051 | 85 | 2.0779 | |
|
| 1.7274 | 4.4615 | 90 | 2.0934 | |
|
| 1.7431 | 4.7179 | 95 | 2.0652 | |
|
| 1.8728 | 4.9744 | 100 | 2.0618 | |
|
| 1.5729 | 5.1923 | 105 | 2.0837 | |
|
| 1.4631 | 5.4487 | 110 | 2.0873 | |
|
| 1.4758 | 5.7051 | 115 | 2.0744 | |
|
| 1.5289 | 5.9615 | 120 | 2.0899 | |
|
| 1.515 | 6.1795 | 125 | 2.0919 | |
|
| 1.5757 | 6.4359 | 130 | 2.0978 | |
|
| 1.5392 | 6.6923 | 135 | 2.0986 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
