L3-Pneuma-8B
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Sandevistan_cleaned.jsonl dataset. It achieves the following results on the evaluation set:
- Loss: 0.7796
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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3399 | 0.0023 | 1 | 1.3175 |
| 0.846 | 0.3332 | 143 | 0.8312 |
| 0.8103 | 0.6665 | 286 | 0.8021 |
| 0.7617 | 0.9997 | 429 | 0.7737 |
| 0.5824 | 1.3309 | 572 | 0.7851 |
| 0.5651 | 1.6641 | 715 | 0.7798 |
| 0.5738 | 1.9974 | 858 | 0.7796 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Safetensors
Model size
8B params
Tensor type
BF16
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Model tree for Third-Space/L3-Pneuma-8B
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct