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---
base_model: meta-llama/Llama-2-7b-chat-hf
library_name: peft
license: llama2
tags:
- 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 [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4173
## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.6173 | 0.0134 | 10 | 2.3897 |
| 2.2715 | 0.0267 | 20 | 1.7717 |
| 1.7437 | 0.0401 | 30 | 1.5891 |
| 1.3236 | 0.0535 | 40 | 1.5109 |
| 1.3035 | 0.0668 | 50 | 1.4715 |
| 1.2304 | 0.0802 | 60 | 1.4510 |
| 1.2023 | 0.0936 | 70 | 1.4357 |
| 1.37 | 0.1069 | 80 | 1.4268 |
| 1.2943 | 0.1203 | 90 | 1.4199 |
| 1.3791 | 0.1336 | 100 | 1.4173 |
### Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1 |