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+egyptian-arabic-translator-llama-3-8b.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B
+license: llama3
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Egyptian-Arabic-Translator-Llama-3-8B
+  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
+
+## Inference code
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("ahmedsamirio/Egyptian-Arabic-Translator-Llama-3-8B")
+model = AutoModelForCausalLM.from_pretrained("ahmedsamirio/Egyptian-Arabic-Translator-Llama-3-8B")
+pipe = pipeline(task='text-generation', model=model, tokenizer=tokenizer)
+
+
+en_template = """<|begin_of_text|>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+Translate the following text to English.
+
+### Input:
+{text}
+
+### Response:
+"""
+
+ar_template = """<|begin_of_text|>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+Translate the following text to Arabic.
+
+### Input:
+{text}
+
+### Response:
+"""
+
+eg_template = """<|begin_of_text|>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+Translate the following text to Egyptian Arabic.
+
+### Input:
+{text}
+
+### Response:
+"""
+
+text = """Some habits are known as "keystone habits," and these influence the formation of other habits. \
+For example, identifying as the type of person who takes care of their body and is in the habit of exercising regularly, \
+can also influence eating better and using credit cards less. In business, \
+safety can be a keystone habit that influences other habits that result in greater productivity.[17]"""
+
+ar_text = pipe(ar_template.format(text=text), 
+               max_new_tokens=256, 
+               do_sample=True, 
+               temperature=0.3, 
+               top_p=0.5)
+
+
+eg_text = pipe(eg_template.format(text=ar_text), 
+               max_new_tokens=256, 
+               do_sample=True, 
+               temperature=0.3, 
+               top_p=0.5)
+
+print("Original Text:" text)
+print("\nArabic Translation:", ar_text)
+print("\nEgyptian Arabic Translation:", eg_text)
+```
+
+## 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

egyptian-arabic-translator-llama-3-8b.Q4_0.gguf

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