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Model: Mostafa8Mehrabi/qwen3-71M-c4-final
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Mostafa8Mehrabi/qwen3-50m-fp16
+tags:
+- qwen
+- c4
+- pretrained
+- fp16
+- notebook
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# 🚀 Qwen3-50M C4 Pretrained (FP16) - Notebook Version
+
+Pretrained Qwen3-50M model on C4 dataset using FP16 precision in notebook environment.
+
+## 📊 Training Results
+
+- **Final Training Loss**: 4.0267
+- **Final Validation Loss**: 4.120617866516113
+- **Training Samples**: 1,000,000
+- **Epochs**: 3
+- **Precision**: FP16
+
+## 🚀 Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("Mostafa8Mehrabi/qwen3-50m-c4-final")
+model = AutoModelForCausalLM.from_pretrained(
+    "Mostafa8Mehrabi/qwen3-50m-c4-final", 
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# Generate text
+prompt = "The future of artificial intelligence is"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100, do_sample=True)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## 📁 Checkpoints
+
+Training checkpoints (also in FP16) are available at: Mostafa8Mehrabi/qwen3-50m-c4-checkpoints
+
+## 🔧 Training Environment
+
+This model was trained in a notebook environment with the following configuration:
+- Batch Size: 128
+- Learning Rate: 5e-05
+- Max Length: 512
+- Number of Processes: 8