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Model: Mayko2995/gpt2-quote-fr-v1.1 Source: Original Platform
2026-05-08 23:22:58 +08:00
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+---
+library_name: transformers
+license: apache-2.0
+base_model: asi/gpt-fr-cased-small
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-quote-fr-v1.1
+  results: []
+pipeline_tag: text-generation
+---
+
+# GPT-2 French Quote Generator 🇫🇷
+
+A fine-tuned GPT-2 model for generating philosophical 
+and inspirational quotes in French.
+
+## Model Description
+
+This model is based on `asi/gpt-fr-cased-small` and has been 
+fine-tuned on a dataset of 975 carefully collected French quotes 
+covering various philosophical themes.
+
+## Themes Covered
+
+- ❤️ Love (Amour)
+- 🌱 Life (Vie)
+- 🌌 Existence
+- 😊 Happiness (Bonheur)
+- 🦉 Wisdom (Sagesse)
+- ⏳ Time (Temps)
+- 🕊️ Freedom (Liberté)
+- 🙏 Spirituality (Spiritualité)
+
+## Usage
+```python
+from transformers import pipeline
+
+generator = pipeline(
+    "text-generation",
+    model="Mayko2995/gpt2-quote-fr-v1.1"
+)
+
+result = generator(
+    "Le bonheur est",
+    max_new_tokens=20,
+    temperature=0.8,
+    do_sample=True,
+    repetition_penalty=2.0,
+    no_repeat_ngram_size=3
+)
+
+print(result[0]["generated_text"])
+```
+
+## Generated Examples
+```
+"Le bonheur est une petite chose que l'on invente 
+ avec la sagesse de chaque instant."
+
+"Dans l'existence, il faut avoir une âme pour 
+ comprendre que tout existe."
+
+"La vie est un voyage vers son avenir qu'il nous 
+ faudra parcourir avec sagesse et humilité."
+```
+
+## Dataset
+
+- 975 French quotes
+- Collected from Wikiquote and other sources
+- Various authors including Victor Hugo, Albert Camus,
+  Pablo Neruda, Einstein and others
+
+## Limitations
+
+- Relatively small dataset — 975 quotes
+- May generate incomplete sentences
+- Best results with max_new_tokens between 15 and 25
+- Designed for French language only
+
+## Intended Uses
+
+✅ Generating inspirational French quotes
+✅ Creative writing assistance
+✅ Educational NLP projects
+✅ French language generation research
+
+## Out of Scope
+
+❌ Factual information generation
+❌ Translation tasks
+❌ Other languages
+
+## Author
+
+**Jonasson Claubert Joachin** — Self-taught AI Engineer 🇭🇹
+Based in Haiti — passionate about NLP and LLMs
+
+*Building AI tools adapted to the Haitian context*
+
+## Versions
+
+| Version | Dataset | Val Loss |
+|---------|---------|----------|
+| v1.0 | 300 quotes | 1.12 |
+| v1.1 | 975 quotes | 0.71 ✅ |
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5437        | 1.0   | 49   | 1.2013          |
+| 1.0311        | 2.0   | 98   | 0.9540          |
+| 0.8106        | 3.0   | 147  | 0.8370          |
+| 0.7146        | 4.0   | 196  | 0.7859          |
+| 0.6868        | 5.0   | 245  | 0.7580          |
+| 0.5707        | 6.0   | 294  | 0.7380          |
+| 0.5532        | 7.0   | 343  | 0.7201          |
+| 0.5705        | 8.0   | 392  | 0.7145          |
+| 0.5311        | 9.0   | 441  | 0.7129          |
+| 0.5057        | 10.0  | 490  | 0.7113          |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2