llama-3.2-3b-chatbot
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6208
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: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8392 | 0.9292 | 200 | 1.6995 |
| 1.445 | 1.8583 | 400 | 1.5649 |
| 1.1078 | 2.7875 | 600 | 1.5232 |
| 0.819 | 3.7166 | 800 | 1.5380 |
| 0.5895 | 4.6458 | 1000 | 1.6208 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for Akshit-77/llama-3.2-3b-chatbot
Base model
meta-llama/Llama-3.2-3B-Instruct