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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5](https://huggingface.co/gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8774
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0487 | 0.93 | 6 | 0.9595 |
| 1.0306 | 1.86 | 12 | 0.9414 |
| 0.8627 | 2.95 | 19 | 0.9183 |
| 0.9787 | 3.88 | 25 | 0.8934 |
| 0.7588 | 4.66 | 30 | 0.8774 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2 |