|
---
|
|
base_model: meta-llama/Meta-Llama-3-8B
|
|
library_name: peft
|
|
license: llama3
|
|
tags:
|
|
- axolotl
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: llama_3_translator_v3
|
|
results: []
|
|
---
|
|
|
|
[<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: `0.4.1`
|
|
```yaml
|
|
base_model: meta-llama/Meta-Llama-3-8B
|
|
model_type: LlamaForCausalLM
|
|
tokenizer_type: AutoTokenizer
|
|
|
|
load_in_8bit: true
|
|
load_in_4bit: false
|
|
strict: false
|
|
|
|
datasets:
|
|
- path: translation-dataset-v3-train.hf
|
|
type: alpaca
|
|
train_on_split: train
|
|
|
|
test_datasets:
|
|
- path: translation-dataset-v3-test.hf
|
|
type: alpaca
|
|
split: train
|
|
|
|
dataset_prepared_path: ./last_run_prepared
|
|
output_dir: ./llama_3_translator
|
|
hub_model_id: ahmedsamirio/llama_3_translator_v3
|
|
|
|
|
|
sequence_len: 2048
|
|
sample_packing: true
|
|
pad_to_sequence_len: true
|
|
eval_sample_packing: false
|
|
|
|
adapter: lora
|
|
lora_r: 32
|
|
lora_alpha: 16
|
|
lora_dropout: 0.05
|
|
lora_target_linear: true
|
|
lora_fan_in_fan_out:
|
|
lora_target_modules:
|
|
- gate_proj
|
|
- down_proj
|
|
- up_proj
|
|
- q_proj
|
|
- v_proj
|
|
- k_proj
|
|
- o_proj
|
|
|
|
wandb_project: en_eg_translator
|
|
wandb_entity: ahmedsamirio
|
|
wandb_name: llama_3_en_eg_translator_v3
|
|
|
|
gradient_accumulation_steps: 4
|
|
micro_batch_size: 2
|
|
num_epochs: 2
|
|
optimizer: paged_adamw_32bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 2e-5
|
|
|
|
train_on_inputs: false
|
|
group_by_length: false
|
|
bf16: auto
|
|
fp16:
|
|
tf32: false
|
|
|
|
gradient_checkpointing: true
|
|
early_stopping_patience:
|
|
resume_from_checkpoint:
|
|
local_rank:
|
|
logging_steps: 1
|
|
xformers_attention:
|
|
flash_attention: true
|
|
|
|
warmup_steps: 10
|
|
evals_per_epoch: 10
|
|
eval_table_size:
|
|
eval_max_new_tokens: 128
|
|
saves_per_epoch: 1
|
|
debug:
|
|
deepspeed:
|
|
weight_decay: 0.0
|
|
fsdp:
|
|
fsdp_config:
|
|
special_tokens:
|
|
pad_token: <|end_of_text|>
|
|
```
|
|
|
|
</details><br>
|
|
|
|
[<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/ahmedsamirio/en_eg_translator/runs/hwzxxt0r)
|
|
|
|
# Egyptian Arabic Translator Llama-3 8B
|
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the [ahmedsamirio/oasst2-9k-translation](https://huggingface.co/datasets/ahmedsamirio/oasst2-9k-translation) dataset.
|
|
|
|
## Model description
|
|
|
|
This model is an attempt to create a small translation model from English to Egyptian Arabic.
|
|
|
|
## Intended uses & limitations
|
|
|
|
- Translating instruction finetuning and text generation datasets
|
|
|
|
## Training and evaluation data
|
|
|
|
[ahmedsamirio/oasst2-9k-translation](https://huggingface.co/datasets/ahmedsamirio/oasst2-9k-translation)
|
|
|
|
## Training procedure
|
|
|
|
### Training hyperparameters
|
|
|
|
The following hyperparameters were used during training:
|
|
- learning_rate: 2e-05
|
|
- train_batch_size: 2
|
|
- eval_batch_size: 2
|
|
- seed: 42
|
|
- gradient_accumulation_steps: 4
|
|
- total_train_batch_size: 8
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: cosine
|
|
- lr_scheduler_warmup_steps: 10
|
|
- num_epochs: 2
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:------:|:----:|:---------------:|
|
|
| 0.9661 | 0.0008 | 1 | 1.3816 |
|
|
| 0.5611 | 0.1002 | 123 | 0.9894 |
|
|
| 0.6739 | 0.2004 | 246 | 0.8820 |
|
|
| 0.5168 | 0.3006 | 369 | 0.8229 |
|
|
| 0.5582 | 0.4008 | 492 | 0.7931 |
|
|
| 0.552 | 0.5010 | 615 | 0.7814 |
|
|
| 0.5129 | 0.6012 | 738 | 0.7591 |
|
|
| 0.5887 | 0.7014 | 861 | 0.7444 |
|
|
| 0.6359 | 0.8016 | 984 | 0.7293 |
|
|
| 0.613 | 0.9018 | 1107 | 0.7179 |
|
|
| 0.5671 | 1.0020 | 1230 | 0.7126 |
|
|
| 0.4956 | 1.0847 | 1353 | 0.7034 |
|
|
| 0.5055 | 1.1849 | 1476 | 0.6980 |
|
|
| 0.4863 | 1.2851 | 1599 | 0.6877 |
|
|
| 0.4538 | 1.3853 | 1722 | 0.6845 |
|
|
| 0.4362 | 1.4855 | 1845 | 0.6803 |
|
|
| 0.4291 | 1.5857 | 1968 | 0.6834 |
|
|
| 0.6208 | 1.6859 | 2091 | 0.6830 |
|
|
| 0.582 | 1.7862 | 2214 | 0.6781 |
|
|
| 0.5001 | 1.8864 | 2337 | 0.6798 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- PEFT 0.11.1
|
|
- Transformers 4.42.3
|
|
- Pytorch 2.1.2+cu118
|
|
- Datasets 2.19.1
|
|
- Tokenizers 0.19.1 |
