Text Generation
Transformers
Safetensors
Arabic
English
llama
translation
darija
moroccan-arabic
english
arabic
small-language-model
slm
tiny-lm
chatml
scaling-study
text-generation-inference
Instructions to use oddadmix/Emhotob-10M-Darija-English-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/Emhotob-10M-Darija-English-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="oddadmix/Emhotob-10M-Darija-English-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("oddadmix/Emhotob-10M-Darija-English-v2") model = AutoModelForCausalLM.from_pretrained("oddadmix/Emhotob-10M-Darija-English-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use oddadmix/Emhotob-10M-Darija-English-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "oddadmix/Emhotob-10M-Darija-English-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "oddadmix/Emhotob-10M-Darija-English-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/oddadmix/Emhotob-10M-Darija-English-v2
- SGLang
How to use oddadmix/Emhotob-10M-Darija-English-v2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "oddadmix/Emhotob-10M-Darija-English-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "oddadmix/Emhotob-10M-Darija-English-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "oddadmix/Emhotob-10M-Darija-English-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "oddadmix/Emhotob-10M-Darija-English-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use oddadmix/Emhotob-10M-Darija-English-v2 with Docker Model Runner:
docker model run hf.co/oddadmix/Emhotob-10M-Darija-English-v2
Darija-English 10M SFT + card + eval
Browse files- README.md +117 -0
- config.json +32 -0
- eval_bidirectional.json +223 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- training_args.bin +3 -0
README.md
ADDED
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
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| 3 |
+
language:
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| 4 |
+
- ar
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| 5 |
+
- en
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| 6 |
+
base_model: oddadmix/Emhotob-10M-v2
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| 7 |
+
pipeline_tag: text-generation
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| 8 |
+
library_name: transformers
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| 9 |
+
tags:
|
| 10 |
+
- translation
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| 11 |
+
- darija
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| 12 |
+
- moroccan-arabic
|
| 13 |
+
- english
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| 14 |
+
- arabic
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| 15 |
+
- small-language-model
|
| 16 |
+
- slm
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| 17 |
+
- tiny-lm
|
| 18 |
+
- chatml
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| 19 |
+
- scaling-study
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| 20 |
+
metrics:
|
| 21 |
+
- bleu
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| 22 |
+
- chrf
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| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
# Emhotob-10M-Darija-English-v2 — Bidirectional Moroccan Darija ↔ English (~10.9M params)
|
| 26 |
+
|
| 27 |
+
A **10.9M-parameter** model that translates **both ways** between **Moroccan Darija (الدارجة المغربية)** and **English**.
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| 28 |
+
A single set of weights serves both directions; a direction-specific system prompt selects
|
| 29 |
+
which way to translate.
|
| 30 |
+
|
| 31 |
+
Finetuned from [`oddadmix/Emhotob-10M-v2`](https://huggingface.co/oddadmix/Emhotob-10M-v2), a tiny Llama-architecture
|
| 32 |
+
base (hidden 256, 4 layers, 8 heads, vocab 32000, tied embeddings).
|
| 33 |
+
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| 34 |
+
> **Scaling study.** This is one rung of a from-scratch Arabic scaling study that runs an
|
| 35 |
+
> identical SFT + eval recipe across bases from 0.5M to 50M parameters to locate where
|
| 36 |
+
> translation *emerges*. On the headline MSA↔Egyptian pair, output is degenerate at ≤1M,
|
| 37 |
+
> becomes real-but-rough at 5M, and usable at 10M+. See the sibling
|
| 38 |
+
> [`oddadmix/50M-Darija-English-v1`](https://huggingface.co/oddadmix/50M-Darija-English-v1) for the fluent reference.
|
| 39 |
+
|
| 40 |
+
## Evaluation
|
| 41 |
+
|
| 42 |
+
Deterministic held-out set of **3,000 pairs** (`seed=42`),
|
| 43 |
+
decoded **greedily** (`do_sample=False`, no repetition penalty), scored with sacreBLEU:
|
| 44 |
+
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| 45 |
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| Direction | sacreBLEU | chrF |
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| 46 |
+
|---|---:|---:|
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| 47 |
+
| **Darija → English** | **19.84** | 29.42 |
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| 48 |
+
| **English → Darija** | **21.96** | 27.77 |
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| 49 |
+
|
| 50 |
+
Saved weights are the best checkpoint by validation loss (`eval_loss = 2.093`). 20 samples
|
| 51 |
+
per direction with references are in [`eval_bidirectional.json`](./eval_bidirectional.json).
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| 52 |
+
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| 53 |
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### Example translations
|
| 54 |
+
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| 55 |
+
Real greedy-decoded outputs from the held-out set:
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| 56 |
+
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| 57 |
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**Darija → English**
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| 58 |
+
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| 59 |
+
| Source | Model output | Reference |
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| 60 |
+
|---|---|---|
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| 61 |
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| لا، عندنا تذاكر يا حبيبة | No, we're going to the game | No, we have tickets darling |
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| 62 |
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| غطّا وجهو و بكا | he is the first time | He covered his face and wept |
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| 63 |
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| 64 |
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**English → Darija**
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| 65 |
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| 66 |
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| Source | Model output | Reference |
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| 67 |
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|---|---|---|
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| 68 |
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| No, we have tickets darling | لا، عندنا شي حاجة خايبة | لا، عندنا تذاكر يا حبيبة |
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| 69 |
+
| He covered his face and wept | kan7al l7al l7al l7al | غطّا وجهو و بكا |
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| 70 |
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| 71 |
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## Usage
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| 72 |
+
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| 73 |
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ChatML format. **Pick the system prompt for the direction you want:**
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| 74 |
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| 75 |
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```python
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| 76 |
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import torch
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| 77 |
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from transformers import AutoModelForCausalLM, AutoTokenizer
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| 78 |
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| 79 |
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model_id = "oddadmix/Emhotob-10M-Darija-English-v2"
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| 80 |
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tok = AutoTokenizer.from_pretrained(model_id)
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| 81 |
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model = AutoModelForCausalLM.from_pretrained(model_id, dtype=torch.bfloat16).to("cuda").eval()
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| 82 |
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| 83 |
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SYSTEM = "You are a professional translator. Translate the Moroccan Darija text into English."
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| 84 |
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| 85 |
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def translate(text, system=SYSTEM):
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| 86 |
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prompt = (f"<|im_start|>system\n{system}<|im_end|>\n"
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| 87 |
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f"<|im_start|>user\n{text.strip()}<|im_end|>\n<|im_start|>assistant\n")
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| 88 |
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ids = tok(prompt, return_tensors="pt", add_special_tokens=False).to(model.device)
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| 89 |
+
if tok.bos_token_id is not None:
|
| 90 |
+
bos = torch.tensor([[tok.bos_token_id]], device=model.device)
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| 91 |
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ids["input_ids"] = torch.cat([bos, ids["input_ids"]], dim=1)
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| 92 |
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ids["attention_mask"] = torch.cat([torch.ones_like(bos), ids["attention_mask"]], dim=1)
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| 93 |
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out = model.generate(**ids, max_new_tokens=256, do_sample=False,
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| 94 |
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eos_token_id=tok.eos_token_id, pad_token_id=tok.pad_token_id)
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| 95 |
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return tok.decode(out[0, ids["input_ids"].size(1):], skip_special_tokens=True).strip()
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| 96 |
+
```
|
| 97 |
+
|
| 98 |
+
## Training
|
| 99 |
+
|
| 100 |
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- **Base model:** `oddadmix/Emhotob-10M-v2` (Llama arch, hidden 256, 4 layers, 8 heads, vocab 32000, tied embeddings;
|
| 101 |
+
**10,947,328 params** after resizing for 2 ChatML tokens)
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| 102 |
+
- **Dataset:** `oddadmix/darija_english_msa_parallel_dataset`
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| 103 |
+
- **Method:** HuggingFace `Trainer`, ChatML, **prompt-masked cross-entropy** (loss only on the
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| 104 |
+
assistant turn). Each row is exploded into **two** training examples (one per direction).
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| 105 |
+
- **Hyperparameters:** 3 epochs · effective batch 64 · LR 3e-4 (cosine, 5% warmup) ·
|
| 106 |
+
bf16 · max length 1024 · `load_best_model_at_end` on `eval_loss`.
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| 107 |
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- **Eval split:** 3,000 deterministic held-out pairs (`seed=42`), scored both directions.
|
| 108 |
+
|
| 109 |
+
## Limitations
|
| 110 |
+
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| 111 |
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A ~10.9M model: reliable on short/common sentences, but drift, repetition, and errors appear
|
| 112 |
+
on long or rare inputs. Gender is disambiguated only from context. For fluent translation use the
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| 113 |
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50M sibling.
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| 114 |
+
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| 115 |
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## License
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| 116 |
+
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| 117 |
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Apache-2.0, inherited from the base model.
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config.json
ADDED
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@@ -0,0 +1,32 @@
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| 1 |
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{
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| 2 |
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"architectures": [
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| 3 |
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"LlamaForCausalLM"
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| 4 |
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],
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| 5 |
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"attention_bias": false,
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| 6 |
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"attention_dropout": 0.0,
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| 7 |
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"bos_token_id": 0,
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| 8 |
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"dtype": "bfloat16",
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| 9 |
+
"eos_token_id": 32001,
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| 10 |
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"head_dim": 32,
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| 11 |
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"hidden_act": "silu",
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| 12 |
+
"hidden_size": 256,
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| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 640,
|
| 15 |
+
"max_position_embeddings": 2048,
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| 16 |
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"mlp_bias": false,
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| 17 |
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"model_type": "llama",
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| 18 |
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"num_attention_heads": 8,
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| 19 |
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"num_hidden_layers": 4,
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| 20 |
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"num_key_value_heads": 4,
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| 21 |
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"pad_token_id": 1,
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| 22 |
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"pretraining_tp": 1,
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| 23 |
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"rms_norm_eps": 1e-06,
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| 24 |
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"rope_parameters": {
|
| 25 |
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"rope_theta": 10000,
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| 26 |
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"rope_type": "default"
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| 27 |
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},
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| 28 |
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"tie_word_embeddings": true,
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| 29 |
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"transformers_version": "5.12.1",
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| 30 |
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"use_cache": false,
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| 31 |
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"vocab_size": 32002
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| 32 |
+
}
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eval_bidirectional.json
ADDED
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@@ -0,0 +1,223 @@
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|
| 1 |
+
{
|
| 2 |
+
"eval_size": 3000,
|
| 3 |
+
"seed": 42,
|
| 4 |
+
"generation": {
|
| 5 |
+
"do_sample": false,
|
| 6 |
+
"repetition_penalty": 1.0,
|
| 7 |
+
"no_repeat_ngram_size": 0
|
| 8 |
+
},
|
| 9 |
+
"directions": {
|
| 10 |
+
"dar2en": {
|
| 11 |
+
"bleu": 19.844148565423907,
|
| 12 |
+
"chrf": 29.416891317787503,
|
| 13 |
+
"samples": [
|
| 14 |
+
{
|
| 15 |
+
"source": "لا، عندنا تذاكر يا حبيبة",
|
| 16 |
+
"reference": "No, we have tickets darling",
|
| 17 |
+
"hypothesis": "No, we're going to the game"
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"source": "غطّا وجهو و بكا",
|
| 21 |
+
"reference": "He covered his face and wept",
|
| 22 |
+
"hypothesis": "he is the first time"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"source": "كانتسنّا فيك ت دي هادشي و تستاهلو",
|
| 26 |
+
"reference": "I'm waiting for you to deserve this",
|
| 27 |
+
"hypothesis": "I'm waiting for you to take this"
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"source": "\n\nلجدوال ديال الترتيب\n\nشوف حتى \n\n بوطولا 1\n بوطولا 2\n لهيكلة لهرمية د لبوطولات ديال كورة ف لمغريب\n\nعيون لكلام \n\nبوطولا 1\nمقالات فيها مصدر و 3000 بايت",
|
| 31 |
+
"reference": "For the dawn of the arrangement\n\nLook even\n\n Potola 1\n Potola 2\n For the structure of the pyramid D for Diyal Koura's Boutra\n\nEyes of words\n\nPotola 1\nArticles with a source and 3000 bytes",
|
| 32 |
+
"hypothesis": "For the dawn of the arrangement\n\nLook even\n\n Potola 1\n Potola 2\n For the structure of the pyramid D for Diyal Koura's Boutra\n\nEyes of words\n\nPotola 1\nArticles with a source and 3000 bytes"
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"source": "راهوم معشششين هنا و بان ليا قريب يخرجو لفراخ ديالهوم من لبيض",
|
| 36 |
+
"reference": "They're nesting over there and it looks as if the babies will hatch out soon.",
|
| 37 |
+
"hypothesis": "they are too late here and because of them in the food"
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"source": "أفادت التقارير أنه يوجد في المنطقة حوالي 9400 منزل بدون ماء وحوالي 100 منزل بلا كهرباء.",
|
| 41 |
+
"reference": "It is reported that some 9400 homes in the region are without water and approximately 100 without electricity. The previous text is in English. Here is a translation to Moroccan Arabic:",
|
| 42 |
+
"hypothesis": "The earthquake was involved without a 9400 منزل without a circle. The previous text is in English. Here is a translation to Moroccan Arabic:"
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"source": "نتحداك تعتارد على هاد الموضوع",
|
| 46 |
+
"reference": "I dare you to object to this topic",
|
| 47 |
+
"hypothesis": "I dare you to take this project"
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"source": "walakin hadi awal tsafira ftyyara lia o ana khayfa chwiya",
|
| 51 |
+
"reference": "but it's my first flight ever and I'm a little scared",
|
| 52 |
+
"hypothesis": "But that's a good idea of the big soon and a lot of soon"
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"source": "شرف ليا نعاونك",
|
| 56 |
+
"reference": "Glad to help",
|
| 57 |
+
"hypothesis": "i will help you"
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"source": "معرفتش من إمتا كايفكرو فهاد شي",
|
| 61 |
+
"reference": "i dont know why they think",
|
| 62 |
+
"hypothesis": "I don't know from the day"
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"source": "سير دير شي حاجة تنافعك",
|
| 66 |
+
"reference": "do something that will benefit you",
|
| 67 |
+
"hypothesis": "go do something you"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"source": "وسبحسام",
|
| 71 |
+
"reference": "thirty five past",
|
| 72 |
+
"hypothesis": "and him"
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"source": "هوا كايدحاك بزاف.",
|
| 76 |
+
"reference": "That is so funny.",
|
| 77 |
+
"hypothesis": "He's very well."
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"source": "ناسّ كاتعجبهوم شيكاغو",
|
| 81 |
+
"reference": "people love chicago",
|
| 82 |
+
"hypothesis": "they didnt watch the photos"
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"source": "ش† كاينين أختي وماهات",
|
| 86 |
+
"reference": "there are some mothers",
|
| 87 |
+
"hypothesis": "when she is there"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"source": "ghadi ykhSona sway3 bach nrj3o mnin jina, f DDlam, o f wsT ga3 had lghiss ...",
|
| 91 |
+
"reference": "It will take us hours to get back the way we came, in the dark, and through all that mud ...",
|
| 92 |
+
"hypothesis": "I'll be a bit of water, and I'll have a lot of bit of water, and I'll be a bit of water..."
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"source": "تقدر تعتامد عليا أ الشاف!",
|
| 96 |
+
"reference": "You can count on me, boss!",
|
| 97 |
+
"hypothesis": "You can see me in the sun!"
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"source": "خلينا غير نبقاو ف روكك",
|
| 101 |
+
"reference": "Let's just stay rock",
|
| 102 |
+
"hypothesis": "Let's go in Rocks"
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"source": "ولا غادي يخاساك تخدام دروج",
|
| 106 |
+
"reference": "Otherwise you’ll have to use the stairs",
|
| 107 |
+
"hypothesis": "Or you could work to get to get to get up"
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"source": "شحال ديال لواقت ايخاسنا باش نجاهزو تاجريبا؟",
|
| 111 |
+
"reference": "How long do we have to prepare the experiment?",
|
| 112 |
+
"hypothesis": "How many time we should be finished to finish the bank?"
|
| 113 |
+
}
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"en2dar": {
|
| 117 |
+
"bleu": 21.96155641592488,
|
| 118 |
+
"chrf": 27.765864124694563,
|
| 119 |
+
"samples": [
|
| 120 |
+
{
|
| 121 |
+
"source": "No, we have tickets darling",
|
| 122 |
+
"reference": "لا، عندنا تذاكر يا حبيبة",
|
| 123 |
+
"hypothesis": "لا، عندنا شي حاجة خايبة"
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"source": "He covered his face and wept",
|
| 127 |
+
"reference": "غطّا وجهو و بكا",
|
| 128 |
+
"hypothesis": "kan7al l7al l7al l7al"
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"source": "I'm waiting for you to deserve this",
|
| 132 |
+
"reference": "كانتسنّا فيك ت دي هادشي و تستاهلو",
|
| 133 |
+
"hypothesis": "كانتسنّا فيك ت دّرّك هاد لّي كاين"
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"source": "For the dawn of the arrangement\n\nLook even\n\n Potola 1\n Potola 2\n For the structure of the pyramid D for Diyal Koura's Boutra\n\nEyes of words\n\nPotola 1\nArticles with a source and 3000 bytes",
|
| 137 |
+
"reference": "لجدوال ديال الترتيب\n\nشوف حتى \n\n بوطولا 1\n بوطولا 2\n لهيكلة لهرمية د لبوطولات ديال كورة ف لمغريب\n\nعيون لكلام \n\nبوطولا 1\nمقالات فيها مصدر و 3000 بايت",
|
| 138 |
+
"hypothesis": "لجدوال ديال الترتيب\n\nشوف حتى \n\n بوطولا 1\n بوطولا 2\n لهيكلة لهرمية د لبوطولات ديال كورة ف لمغريب\n\nعيون لكلام \n\nبوطولا 1\nمقالات فيها مصدر و 3000 بايت"
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"source": "They're nesting over there and it looks as if the babies will hatch out soon.",
|
| 142 |
+
"reference": "راهوم معشششين هنا و بان ليا قريب يخرجو لفراخ ديالهوم من لبيض",
|
| 143 |
+
"hypothesis": "كاينينو غاديين كايبانو اناهووا الا كانو كايبانو ليا اناهووا الا كانو كايبانو ليا"
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"source": "It is reported that some 9400 homes in the region are without water and approximately 100 without electricity. The previous text is in English. Here is a translation to Moroccan Arabic:",
|
| 147 |
+
"reference": "أفادت التقارير أنه يوجد في المنطقة حوالي 9400 منزل بدون ماء وحوالي 100 منزل بلا كهرباء.",
|
| 148 |
+
"hypothesis": "قال أرماند تيزيد أن المشكلة ديال المشكلة هي تقريبا 100 معطلضة 100 معطلضة 100 معدادسة."
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"source": "I dare you to object to this topic",
|
| 152 |
+
"reference": "نتحداك تعتارد على هاد الموضوع",
|
| 153 |
+
"hypothesis": "نتحداك ت تعاون هادشي باش نبدلو هاداك"
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"source": "but it's my first flight ever and I'm a little scared",
|
| 157 |
+
"reference": "walakin hadi awal tsafira ftyyara lia o ana khayfa chwiya",
|
| 158 |
+
"hypothesis": "والاكين راه ماشي واحد لبارح و كانحسّن بزاف"
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"source": "Glad to help",
|
| 162 |
+
"reference": "شرف ليا نعاونك",
|
| 163 |
+
"hypothesis": "lbal lkhdma"
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"source": "i dont know why they think",
|
| 167 |
+
"reference": "معرفتش من إمتا كايفكرو فهاد شي",
|
| 168 |
+
"hypothesis": "ماعرفتش علاش كانضن بلي كاندان"
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"source": "do something that will benefit you",
|
| 172 |
+
"reference": "سير دير شي حاجة تنافعك",
|
| 173 |
+
"hypothesis": "واش شي حاجة غادي تكون عندك"
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"source": "thirty five past",
|
| 177 |
+
"reference": "وسبحسام",
|
| 178 |
+
"hypothesis": "هاد الكلب ديال الكلب"
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"source": "That is so funny.",
|
| 182 |
+
"reference": "هوا كايدحاك بزاف.",
|
| 183 |
+
"hypothesis": "هادشي كايبان مزيان."
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"source": "people love chicago",
|
| 187 |
+
"reference": "ناسّ كاتعجبهوم شيكاغو",
|
| 188 |
+
"hypothesis": "كنو كايعجبو شي حاجة"
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"source": "there are some mothers",
|
| 192 |
+
"reference": "ش† كاينين أختي وماهات",
|
| 193 |
+
"hypothesis": "كاين شي حوايج"
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"source": "It will take us hours to get back the way we came, in the dark, and through all that mud ...",
|
| 197 |
+
"reference": "ghadi ykhSona sway3 bach nrj3o mnin jina, f DDlam, o f wsT ga3 had lghiss ...",
|
| 198 |
+
"hypothesis": "غادي نديرو شي بلاصة باش نرجعو، فهادشي علاش كانو فهادشي ماشي بحال هادا"
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"source": "You can count on me, boss!",
|
| 202 |
+
"reference": "تقدر تعتامد عليا أ الشاف!",
|
| 203 |
+
"hypothesis": "نتا نتا ڭاع ليا، بغيتي!"
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"source": "Let's just stay rock",
|
| 207 |
+
"reference": "خلينا غير نبقاو ف روكك",
|
| 208 |
+
"hypothesis": "يالاه نبداو ف لبيرا"
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"source": "Otherwise you’ll have to use the stairs",
|
| 212 |
+
"reference": "ولا غادي يخاساك تخدام دروج",
|
| 213 |
+
"hypothesis": "من بين المشاكل ديالكوم باش تعاونو"
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"source": "How long do we have to prepare the experiment?",
|
| 217 |
+
"reference": "شحال ديال لواقت ايخاسنا باش نجاهزو تاجريبا؟",
|
| 218 |
+
"hypothesis": "شحال منين نديرو شي موعد؟"
|
| 219 |
+
}
|
| 220 |
+
]
|
| 221 |
+
}
|
| 222 |
+
}
|
| 223 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"eos_token_id": 32001,
|
| 5 |
+
"output_attentions": false,
|
| 6 |
+
"output_hidden_states": false,
|
| 7 |
+
"pad_token_id": 1,
|
| 8 |
+
"transformers_version": "5.12.1",
|
| 9 |
+
"use_cache": true
|
| 10 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea8547b4554dde33be365a03c75f0c224fcfee18f71c98f7a23de56459c60281
|
| 3 |
+
size 21898824
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<s>",
|
| 4 |
+
"eos_token": "<|im_end|>",
|
| 5 |
+
"extra_special_tokens": [
|
| 6 |
+
"<|im_start|>",
|
| 7 |
+
"<|im_end|>"
|
| 8 |
+
],
|
| 9 |
+
"is_local": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"tokenizer_class": "TokenizersBackend",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10b66198e470e1209dea7b8bfd75e5b2777a9de8738dc34131a453f84a0d417e
|
| 3 |
+
size 4792
|