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---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: gradientai/Llama-3-8B-Instruct-262k
metrics:
- accuracy
model-index:
- name: th_cl_23epochs_lora_pos_neg
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. -->
# th_cl_23epochs_lora_pos_neg
This model is a fine-tuned version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1121
- Balanced Accuracy: 0.47
- Accuracy: 0.4667
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 0.5546 | 1.0 | 32 | 1.0124 | 0.4911 | 0.4889 |
| 0.3157 | 2.0 | 64 | 1.0066 | 0.4722 | 0.4667 |
| 0.1355 | 3.0 | 96 | 0.9881 | 0.5977 | 0.6 |
| 0.0512 | 4.0 | 128 | 1.1006 | 0.5536 | 0.5556 |
| 0.0605 | 5.0 | 160 | 1.1121 | 0.47 | 0.4667 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1 |