Downloads · 30 days
4
20% of all-time downloads
Subodh_TinyLlama
Generative-Subodh/Subodh_TinyLlama
Subodh_TinyLlama is a machine learning model from Generative-Subodh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
20
Public
Repo size
152 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors50.5 MB · 93%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 8, 2025
- Updated
- Sep 9, 2025
- SHA
- 574f62c1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Subodh_TinyLlama
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2304
- Accuracy: 0.9496
- F1: 0.9496
- Precision: 0.9496
- Recall: 0.9496
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.3542 | 1.0 | 7500 | 0.2488 | 0.9211 | 0.9211 | 0.9211 | 0.9211 |
| 1.1018 | 2.0 | 15000 | 0.2737 | 0.9398 | 0.9395 | 0.9400 | 0.9398 |
| 1.061 | 3.0 | 22500 | 0.2439 | 0.9467 | 0.9465 | 0.9467 | 0.9467 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Library
- peft
- License
- apache-2.0
- Created
- Sep 8, 2025
- Updated
- Sep 9, 2025