|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# llama-real-and-synthetic-sftsd0 |
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/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 |
|
|
