metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: amharic_llama_sum_lora_unnormalized
results: []
amharic_llama_sum_lora_unnormalized
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3802
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4593 | 0.4913 | 400 | 0.4572 |
| 0.411 | 0.9826 | 800 | 0.4178 |
| 0.394 | 1.4729 | 1200 | 0.3985 |
| 0.3813 | 1.9642 | 1600 | 0.3872 |
| 0.3628 | 2.4544 | 2000 | 0.3817 |
| 0.3683 | 2.9457 | 2400 | 0.3802 |
Framework versions
- PEFT 0.14.1.dev0
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.22.1