82 lines
2.9 KiB
Markdown
82 lines
2.9 KiB
Markdown
---
|
|
library_name: transformers
|
|
license: llama3.2
|
|
base_model: meta-llama/Llama-3.2-1B-Instruct
|
|
tags:
|
|
- peft-factory
|
|
- full
|
|
- llama-factory
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: train_qqp_42_1779207273
|
|
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_qqp_42_1779207273
|
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the qqp dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.1128
|
|
- Num Input Tokens Seen: 137941664
|
|
|
|
## 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: 2e-06
|
|
- train_batch_size: 8
|
|
- eval_batch_size: 8
|
|
- seed: 42
|
|
- optimizer: Use OptimizerNames.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: 5
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|
|
|:-------------:|:------:|:------:|:---------------:|:-----------------:|
|
|
| 0.1388 | 0.2500 | 10234 | 0.1504 | 6910656 |
|
|
| 0.1021 | 0.5000 | 20468 | 0.1128 | 13780928 |
|
|
| 0.0459 | 0.7501 | 30702 | 0.1215 | 20680640 |
|
|
| 0.1214 | 1.0001 | 40936 | 0.1224 | 27591776 |
|
|
| 0.1395 | 1.2501 | 51170 | 0.1528 | 34492320 |
|
|
| 0.0425 | 1.5001 | 61404 | 0.1524 | 41393504 |
|
|
| 0.1097 | 1.7501 | 71638 | 0.1231 | 48287456 |
|
|
| 0.0019 | 2.0001 | 81872 | 0.1237 | 55178600 |
|
|
| 0.0001 | 2.2502 | 92106 | 0.2041 | 62093992 |
|
|
| 0.0236 | 2.5002 | 102340 | 0.1835 | 68988456 |
|
|
| 0.0008 | 2.7502 | 112574 | 0.2039 | 75874280 |
|
|
| 0.0003 | 3.0002 | 122808 | 0.1936 | 82772304 |
|
|
| 0.0 | 3.2502 | 133042 | 0.2610 | 89675984 |
|
|
| 0.0332 | 3.5003 | 143276 | 0.2494 | 96560720 |
|
|
| 0.0 | 3.7503 | 153510 | 0.2414 | 103465808 |
|
|
| 0.0 | 4.0003 | 163744 | 0.2473 | 110357352 |
|
|
| 0.0 | 4.2503 | 173978 | 0.3375 | 117230952 |
|
|
| 0.0 | 4.5003 | 184212 | 0.3128 | 124100264 |
|
|
| 0.0727 | 4.7503 | 194446 | 0.3178 | 131030440 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.51.3
|
|
- Pytorch 2.10.0+cu128
|
|
- Datasets 4.0.0
|
|
- Tokenizers 0.21.4
|