train_llama3.1_8b_legal_aligner8b_add_perference_8ba_3epoch
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the train_Meta-Llama-3.1-8B-Instruct dataset. It achieves the following results on the evaluation set:
- Loss: 0.5039
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.176 | 1.9380 | 500 | 0.4311 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for w3en2g/train_llama3_1_8b_legal_aligner8b_add_perference_8ba_3epoch
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct