Universal Model Trainer

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Select Task Type

Causal LM

Text Generation

Seq2Seq

Summarization

Token Classification

NER

Text Classification

Sentiment Analysis

Question Answering

Extractive QA

Reasoning

Step-by-Step

Select Model

Select Dataset

Training Configuration

Epochs

Batch Size

Learning Rate

Max Sequence Length

128 512 2048

Warmup Steps

Enable PEFT/LoRA (Recommended for resource-efficient training)

Gradient Accumulation Steps

Weight Decay

LR Scheduler

Save Steps

Gradient Checkpointing

FP16 (if GPU available)

Output Settings

Output Model Name

Push to Hub

Push model to HuggingFace Hub after training

Training Jobs

Browse Models

Search and select models from HuggingFace Hub

Browse Datasets

Search and select datasets from HuggingFace Hub

Settings

Configure your training environment

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