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---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-SFT_ds_wiki_1024_full_r_64_alpha_16
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. -->
# llama-7b-SFT_ds_wiki_1024_full_r_64_alpha_16
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2375
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.275 | 0.3 | 153 | 1.2611 |
| 1.2629 | 0.6 | 306 | 1.2488 |
| 1.2662 | 0.9 | 459 | 1.2431 |
| 1.1963 | 1.2 | 612 | 1.2454 |
| 1.2011 | 1.5 | 765 | 1.2411 |
| 1.1941 | 1.8 | 918 | 1.2375 |
| 1.1101 | 2.1 | 1071 | 1.2509 |
| 1.098 | 2.4 | 1224 | 1.2506 |
| 1.1113 | 2.7 | 1377 | 1.2466 |
| 1.1321 | 3.0 | 1530 | 1.2449 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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