llama-3.2-1b-chatbot
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0427
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0225 | 0.9292 | 200 | 1.8304 |
| 1.6078 | 1.8583 | 400 | 1.6927 |
| 1.2908 | 2.7875 | 600 | 1.6325 |
| 0.9933 | 3.7166 | 800 | 1.6399 |
| 0.7213 | 4.6458 | 1000 | 1.7003 |
| 0.5211 | 5.5749 | 1200 | 1.8297 |
| 0.3823 | 6.5041 | 1400 | 1.9689 |
| 0.3114 | 7.4332 | 1600 | 2.0427 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for Akshit-77/llama-3.2-1b-chatbot
Base model
meta-llama/Llama-3.2-1B-Instruct