metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-2_60-samples_config-2_full_auto
results: []
Llama-31-8B_task-2_60-samples_config-2_full_auto
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0466
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5031 | 0.6957 | 2 | 1.5181 |
| 1.4986 | 1.7391 | 5 | 1.4719 |
| 1.4173 | 2.7826 | 8 | 1.3915 |
| 1.3451 | 3.8261 | 11 | 1.3186 |
| 1.2588 | 4.8696 | 14 | 1.2547 |
| 1.2035 | 5.9130 | 17 | 1.1920 |
| 1.1045 | 6.9565 | 20 | 1.1348 |
| 1.074 | 8.0 | 23 | 1.0886 |
| 1.0261 | 8.6957 | 25 | 1.0743 |
| 0.9858 | 9.7391 | 28 | 1.0616 |
| 0.9944 | 10.7826 | 31 | 1.0531 |
| 0.9706 | 11.8261 | 34 | 1.0463 |
| 0.9367 | 12.8696 | 37 | 1.0399 |
| 0.9372 | 13.9130 | 40 | 1.0353 |
| 0.9054 | 14.9565 | 43 | 1.0335 |
| 0.9095 | 16.0 | 46 | 1.0299 |
| 0.8691 | 16.6957 | 48 | 1.0291 |
| 0.8796 | 17.7391 | 51 | 1.0303 |
| 0.865 | 18.7826 | 54 | 1.0309 |
| 0.8473 | 19.8261 | 57 | 1.0353 |
| 0.8304 | 20.8696 | 60 | 1.0361 |
| 0.8259 | 21.9130 | 63 | 1.0386 |
| 0.8022 | 22.9565 | 66 | 1.0422 |
| 0.7948 | 24.0 | 69 | 1.0466 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1