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---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: saiga_double_lora200
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. -->
# saiga_double_lora200
This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4338
## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5965 | 2.86 | 20 | 1.6827 |
| 1.4291 | 5.71 | 40 | 1.7434 |
| 1.2662 | 8.57 | 60 | 1.8297 |
| 1.1034 | 11.43 | 80 | 1.9381 |
| 0.9573 | 14.29 | 100 | 2.0414 |
| 0.8209 | 17.14 | 120 | 2.1761 |
| 0.71 | 20.0 | 140 | 2.2933 |
| 0.6181 | 22.86 | 160 | 2.3642 |
| 0.572 | 25.71 | 180 | 2.4225 |
| 0.544 | 28.57 | 200 | 2.4338 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2 |