|
|
--- |
|
|
library_name: peft |
|
|
license: llama3 |
|
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
|
tags: |
|
|
- llama-factory |
|
|
- prefix-tuning |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: train_multirc_1756735871 |
|
|
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. --> |
|
|
|
|
|
# train_multirc_1756735871 |
|
|
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the multirc dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3394 |
|
|
- Num Input Tokens Seen: 117044976 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 2 |
|
|
- eval_batch_size: 2 |
|
|
- seed: 123 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 10.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
|
|
|:-------------:|:------:|:------:|:---------------:|:-----------------:| |
|
|
| 0.3178 | 0.5000 | 6130 | 0.3802 | 5867968 | |
|
|
| 0.5557 | 1.0001 | 12260 | 0.3493 | 11717296 | |
|
|
| 0.0109 | 1.5001 | 18390 | 0.1670 | 17588368 | |
|
|
| 0.2324 | 2.0002 | 24520 | 0.3016 | 23419920 | |
|
|
| 0.277 | 2.5002 | 30650 | 0.3568 | 29254768 | |
|
|
| 0.3393 | 3.0002 | 36780 | 0.3402 | 35127456 | |
|
|
| 0.3145 | 3.5003 | 42910 | 0.3391 | 40997712 | |
|
|
| 0.3363 | 4.0003 | 49040 | 0.3400 | 46843184 | |
|
|
| 0.3059 | 4.5004 | 55170 | 0.3385 | 52692880 | |
|
|
| 0.4232 | 5.0004 | 61300 | 0.3394 | 58550736 | |
|
|
| 0.2604 | 5.5004 | 67430 | 0.3361 | 64403536 | |
|
|
| 0.2416 | 6.0005 | 73560 | 0.3536 | 70253968 | |
|
|
| 0.4941 | 6.5005 | 79690 | 0.3594 | 76098208 | |
|
|
| 0.4356 | 7.0006 | 85820 | 0.3684 | 81942784 | |
|
|
| 0.5113 | 7.5006 | 91950 | 0.3346 | 87796256 | |
|
|
| 0.2519 | 8.0007 | 98080 | 0.3266 | 93652576 | |
|
|
| 0.388 | 8.5007 | 104210 | 0.3368 | 99519344 | |
|
|
| 0.4701 | 9.0007 | 110340 | 0.3482 | 105351168 | |
|
|
| 0.4091 | 9.5008 | 116470 | 0.3413 | 111213008 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
