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library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- ia3
- generated_from_trainer
model-index:
- name: train_multirc_1753094162
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_1753094162
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: 0.1357
- Num Input Tokens Seen: 132272272
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.2946 | 0.5 | 3065 | 0.1869 | 6639424 |
| 0.2248 | 1.0 | 6130 | 0.1595 | 13255424 |
| 0.0889 | 1.5 | 9195 | 0.1496 | 19871232 |
| 0.1594 | 2.0 | 12260 | 0.1460 | 26471216 |
| 0.0945 | 2.5 | 15325 | 0.1446 | 33075856 |
| 0.1203 | 3.0 | 18390 | 0.1438 | 39694112 |
| 0.1356 | 3.5 | 21455 | 0.1404 | 46313216 |
| 0.0207 | 4.0 | 24520 | 0.1368 | 52929744 |
| 0.3164 | 4.5 | 27585 | 0.1374 | 59549072 |
| 0.1342 | 5.0 | 30650 | 0.1362 | 66152480 |
| 0.1577 | 5.5 | 33715 | 0.1376 | 72765696 |
| 0.0909 | 6.0 | 36780 | 0.1374 | 79389648 |
| 0.0616 | 6.5 | 39845 | 0.1406 | 86008784 |
| 0.0944 | 7.0 | 42910 | 0.1389 | 92621824 |
| 0.1514 | 7.5 | 45975 | 0.1381 | 99237152 |
| 0.0194 | 8.0 | 49040 | 0.1357 | 105830544 |
| 0.0666 | 8.5 | 52105 | 0.1389 | 112458064 |
| 0.0326 | 9.0 | 55170 | 0.1372 | 119047920 |
| 0.1196 | 9.5 | 58235 | 0.1371 | 125686064 |
| 0.1177 | 10.0 | 61300 | 0.1369 | 132272272 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1 |