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---
library_name: peft
license: llama3.1
base_model: unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: outputs
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. -->
# outputs
This model is a fine-tuned version of [unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3917
## 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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8249 | 0.1014 | 10 | 1.7483 |
| 1.7082 | 0.2028 | 20 | 1.6279 |
| 1.6314 | 0.3042 | 30 | 1.5369 |
| 1.5673 | 0.4056 | 40 | 1.4923 |
| 1.5182 | 0.5070 | 50 | 1.4698 |
| 1.4977 | 0.6084 | 60 | 1.4576 |
| 1.4762 | 0.7098 | 70 | 1.4489 |
| 1.4641 | 0.8112 | 80 | 1.4424 |
| 1.4763 | 0.9125 | 90 | 1.4365 |
| 1.5972 | 1.0203 | 100 | 1.4317 |
| 1.4753 | 1.1217 | 110 | 1.4267 |
| 1.4513 | 1.2231 | 120 | 1.4224 |
| 1.4775 | 1.3245 | 130 | 1.4188 |
| 1.4559 | 1.4259 | 140 | 1.4156 |
| 1.4214 | 1.5272 | 150 | 1.4126 |
| 1.4534 | 1.6286 | 160 | 1.4098 |
| 1.4176 | 1.7300 | 170 | 1.4073 |
| 1.4204 | 1.8314 | 180 | 1.4046 |
| 1.4398 | 1.9328 | 190 | 1.4027 |
| 1.5789 | 2.0406 | 200 | 1.4010 |
| 1.4298 | 2.1420 | 210 | 1.3990 |
| 1.4299 | 2.2433 | 220 | 1.3974 |
| 1.4136 | 2.3447 | 230 | 1.3959 |
| 1.4535 | 2.4461 | 240 | 1.3949 |
| 1.4244 | 2.5475 | 250 | 1.3938 |
| 1.4079 | 2.6489 | 260 | 1.3929 |
| 1.4013 | 2.7503 | 270 | 1.3922 |
| 1.4204 | 2.8517 | 280 | 1.3918 |
| 1.4224 | 2.9531 | 290 | 1.3917 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |