| --- |
| library_name: peft |
| license: llama3 |
| base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| tags: |
| - llama-factory |
| - p-tuning |
| - generated_from_trainer |
| model-index: |
| - name: train_stsb_1754652140 |
| 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_stsb_1754652140 |
|
|
| 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 stsb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6397 |
| - Num Input Tokens Seen: 4364240 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
| | 0.7201 | 0.5 | 647 | 0.9210 | 217472 | |
| | 0.6524 | 1.0 | 1294 | 0.8728 | 435488 | |
| | 0.5352 | 1.5 | 1941 | 0.7179 | 652480 | |
| | 0.5722 | 2.0 | 2588 | 0.6825 | 871200 | |
| | 0.486 | 2.5 | 3235 | 0.6683 | 1089120 | |
| | 0.6085 | 3.0 | 3882 | 0.5942 | 1307968 | |
| | 0.5084 | 3.5 | 4529 | 0.5508 | 1529024 | |
| | 0.3727 | 4.0 | 5176 | 0.5626 | 1745568 | |
| | 0.4597 | 4.5 | 5823 | 0.5266 | 1965984 | |
| | 0.7069 | 5.0 | 6470 | 0.5204 | 2182352 | |
| | 0.4146 | 5.5 | 7117 | 0.5107 | 2399760 | |
| | 0.5929 | 6.0 | 7764 | 0.5058 | 2619888 | |
| | 0.5626 | 6.5 | 8411 | 0.5047 | 2837808 | |
| | 0.3735 | 7.0 | 9058 | 0.5093 | 3057216 | |
| | 0.3429 | 7.5 | 9705 | 0.5020 | 3275904 | |
| | 0.4286 | 8.0 | 10352 | 0.5120 | 3493600 | |
| | 0.4575 | 8.5 | 10999 | 0.5040 | 3712320 | |
| | 0.3782 | 9.0 | 11646 | 0.5048 | 3928704 | |
| | 0.3722 | 9.5 | 12293 | 0.5039 | 4147200 | |
| | 0.4486 | 10.0 | 12940 | 0.5031 | 4364240 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
