metadata
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-real-and-synthetic-sftsd0
results: []
llama-real-and-synthetic-sftsd0
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0839
- Num Input Tokens Seen: 1902768
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| No log | 0 | 0 | 1.5725 | 0 |
| 1.3115 | 0.0856 | 5 | 1.2522 | 162144 |
| 1.1433 | 0.1711 | 10 | 1.1670 | 326328 |
| 1.0894 | 0.2567 | 15 | 1.1623 | 488416 |
| 1.1305 | 0.3422 | 20 | 1.1582 | 652112 |
| 1.1378 | 0.4278 | 25 | 1.1555 | 812832 |
| 1.1177 | 0.5134 | 30 | 1.1481 | 979368 |
| 1.112 | 0.5989 | 35 | 1.1360 | 1141064 |
| 1.0575 | 0.6845 | 40 | 1.1230 | 1309504 |
| 1.0593 | 0.7701 | 45 | 1.1114 | 1472200 |
| 1.0479 | 0.8556 | 50 | 1.1004 | 1636976 |
| 1.0367 | 0.9412 | 55 | 1.0896 | 1806992 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1