From a43f2cdb520c9d7b54337c98b23652c6d13a3ec2 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 7 Jul 2026 20:38:10 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: barbaroo/gptsw3-6.7B-translation-en-fo Source: Original Platform --- .gitattributes | 35 +++ README.md | 167 +++++++++++++ config.json | 36 +++ generation_config.json | 7 + model-00001-of-00006.safetensors | 3 + model-00002-of-00006.safetensors | 3 + model-00003-of-00006.safetensors | 3 + model-00004-of-00006.safetensors | 3 + model-00005-of-00006.safetensors | 3 + model-00006-of-00006.safetensors | 3 + model.safetensors.index.json | 395 +++++++++++++++++++++++++++++++ special_tokens_map.json | 30 +++ spiece.model | 3 + tokenizer_config.json | 48 ++++ 14 files changed, 739 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diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..cc52eb6 --- /dev/null +++ b/README.md @@ -0,0 +1,167 @@ +--- +base_model: AI-Sweden-Models/gpt-sw3-6.7b-v2 +library_name: transformers +datasets: +- barbaroo/Sprotin_parallel +- barbaroo/fo_en_synthetic +language: +- en +- fo +metrics: +- bleu +- chrf +- bertscore +pipeline_tag: text-generation +--- + +# Model Card: English–Faroese Translation (Merged Model) + +## Model Details + +### Model Description + +- **Developed by:** Barbara Scalvini +- **Model type:** Fully merged model for **English → Faroese** translation +- **Languages:** English, Faroese +- **License:** Inherits license from the base model (GPT-SW3 6.7B) +- **Finetuned from:** [AI-Sweden-Models/gpt-sw3-6.7b-v2](https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2) +- **Library:** [Transformers](https://github.com/huggingface/transformers) + +This model is the **merged version** of the PEFT adapter [`barbaroo/gptsw3_translate_synth_6.7B`](https://huggingface.co/barbaroo/gptsw3_translate_synth_6.7B) with its base model. + +--- + +## Uses + +### Direct Use +- English → Faroese machine translation. + +### Downstream Use +- Can be integrated into **multilingual NLP pipelines** or localization workflows. + +### Out-of-Scope Use +- Languages other than English or Faroese. +- Tasks like summarization, classification, or dialogue without further fine-tuning. + +--- + +## Bias, Risks, and Limitations +- As with all translation models, may reflect **biases** from the training corpora. +- Outputs should be **carefully validated** for sensitive or high-stakes domains. + +--- + +## How to Get Started with the Model + +```python + +import torch +from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig +import re +import pandas as pd + +# Model repo +MODEL_NAME = "barbaroo/gptsw3-6.7B-translation-en-fo" + +# Quantization config (8-bit) +bnb_config = BitsAndBytesConfig( + load_in_8bit=True +) + +# Initialize tokenizer & model +tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) +model = AutoModelForCausalLM.from_pretrained( + MODEL_NAME, + quantization_config=bnb_config, + device_map="auto", +) +model.eval() + +# Alpaca-style prompt template +alpaca_prompt = """ + +### Instruction: +{} + +### Input: +{} + +### Response: +{}""" + +EOS_TOKEN = tokenizer.eos_token +print("EOS token:", EOS_TOKEN) + +# Example sentences +sentences = ["I love Faroese!"] +translations = [] + +for sentence in sentences: + inputs = tokenizer( + [ + alpaca_prompt.format( + "Translate this sentence from English to Faroese:", + sentence, + "", + ) + ], + return_tensors="pt" + ).to("cuda") + + outputs = model.generate( + **inputs, + max_new_tokens=500, + use_cache=True, + do_sample=True, + temperature=0.1, + top_p=1, + ) + + output_string = tokenizer.batch_decode(outputs, skip_special_tokens=False)[0] + + try: + response = output_string.split("Response:\n", 1)[1] + translation = response.replace(EOS_TOKEN, "") + except IndexError: + translation = "" + + translations.append(translation) + print(translation) + +``` + + + + + + + + + +## Training Details + +### Training Data +- [barbaroo/Sprotin_parallel](https://huggingface.co/datasets/barbaroo/Sprotin_parallel) +- [barbaroo/fo_en_synthetic](https://huggingface.co/datasets/barbaroo/fo_en_synthetic) + +### Procedure +- Initially trained as a **PEFT adapter** using Alpaca-style prompts. +- Then **merged with the base GPT-SW3 6.7B model** to produce this standalone version. + +**Hyperparameters:** +- Epochs: 3 (early stopping on validation loss) +- Batch Size: 2 (with 4 gradient accumulation steps) +- Learning Rate: 2e-4 +- Optimizer: AdamW with LR scheduler + warm-up + +--- + +## Evaluation + +### Test Data +- FLORES-200 benchmark (~1012 English–Faroese pairs). + +### Metrics +- **BLEU:** 19.8 +- **chrF:** 52.4 + diff --git a/config.json b/config.json new file mode 100644 index 0000000..3a5f9fd --- /dev/null +++ b/config.json @@ -0,0 +1,36 @@ +{ + "activation_function": "gelu", + "apply_query_key_layer_scaling": true, + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 1, + "embd_pdrop": 0.1, + "eos_token_id": 3, + "initializer_range": 0.01, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 2048, + "n_embd": 4096, + "n_head": 32, + "n_inner": 16384, + "n_layer": 32, + "n_positions": 2048, + "normalize_attention_scores": true, + "pad_token_id": 0, + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": 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