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odinbot-llama321b-it
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: 0.9047
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4701 | 1.0 | 71 | 1.2625 |
| 1.1511 | 2.0 | 142 | 1.0032 |
| 1.1284 | 3.0 | 213 | 0.8991 |
| 1.0224 | 4.0 | 284 | 0.9274 |
| 0.9566 | 5.0 | 355 | 0.9047 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for akhilanilkumar/odinbot-llama321b-it
Base model
meta-llama/Llama-3.2-1B-Instruct