|
--- |
|
license: llama3.2 |
|
base_model: meta-llama/Llama-3.2-3B-Instruct |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: llama-gsm-real-and-synthetic-sftsd2 |
|
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-gsm-real-and-synthetic-sftsd2 |
|
|
|
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: 0.9739 |
|
- Num Input Tokens Seen: 3582416 |
|
|
|
## 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: 2 |
|
- 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 | 1.5881 | 0 | |
|
| 1.2436 | 0.0429 | 5 | 1.4398 | 152424 | |
|
| 1.0386 | 0.0857 | 10 | 1.2453 | 312080 | |
|
| 0.9477 | 0.1286 | 15 | 1.1613 | 467744 | |
|
| 0.9171 | 0.1715 | 20 | 1.1153 | 624840 | |
|
| 0.9103 | 0.2144 | 25 | 1.0952 | 780224 | |
|
| 0.8238 | 0.2572 | 30 | 1.0748 | 936608 | |
|
| 0.8472 | 0.3001 | 35 | 1.0563 | 1092128 | |
|
| 0.8196 | 0.3430 | 40 | 1.0417 | 1250736 | |
|
| 0.7769 | 0.3859 | 45 | 1.0217 | 1400344 | |
|
| 0.7825 | 0.4287 | 50 | 1.0084 | 1552728 | |
|
| 0.768 | 0.4716 | 55 | 1.0008 | 1700648 | |
|
| 0.7492 | 0.5145 | 60 | 0.9968 | 1850360 | |
|
| 0.8147 | 0.5573 | 65 | 0.9917 | 2002688 | |
|
| 0.766 | 0.6002 | 70 | 0.9894 | 2161608 | |
|
| 0.7926 | 0.6431 | 75 | 0.9865 | 2318744 | |
|
| 0.7766 | 0.6860 | 80 | 0.9862 | 2477088 | |
|
| 0.7827 | 0.7288 | 85 | 0.9799 | 2632344 | |
|
| 0.7605 | 0.7717 | 90 | 0.9819 | 2784768 | |
|
| 0.7443 | 0.8146 | 95 | 0.9775 | 2938072 | |
|
| 0.7146 | 0.8574 | 100 | 0.9778 | 3095408 | |
|
| 0.7503 | 0.9003 | 105 | 0.9770 | 3250064 | |
|
| 0.7265 | 0.9432 | 110 | 0.9759 | 3400968 | |
|
| 0.8001 | 0.9861 | 115 | 0.9747 | 3553016 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
