<<<<<<< HEAD # MGZON-AI A versatile chatbot powered by MGZON/Veltrix for MGZon queries. Supports code generation, analysis, review, web search, and MGZon-specific queries. Licensed under Apache 2.0.
title: MGZON FLAN-T5 API emoji: "🤖" colorFrom: "blue" colorTo: "green" sdk: docker app_file: Dockerfile pinned: false
library_name: transformers license: apache-2.0 🌐 Live Demo Live Demo base_model: MGZON/Veltrix tags: - generated_from_trainer model-index: - name: mgzon-flan-t5-base results: []
MGZON/Veltrix
This model is a fine-tuned version of MGZON/Veltrix on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2456 | 1.0 | 1488 | nan |
| 0.0888 | 2.0 | 2976 | nan |
| 15.9533 | 3.0 | 4464 | nan |
| 0.1136 | 4.0 | 5952 | nan |
| 0.0626 | 5.0 | 7440 | nan |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
38501a7 (Initial commit with API and model)