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---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf-wiki_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-2-7b-hf-wiki_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: 1.2487
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3251 | 0.3 | 71 | 1.2680 |
| 1.19 | 0.61 | 142 | 1.2569 |
| 1.2281 | 0.91 | 213 | 1.2514 |
| 1.1363 | 1.21 | 284 | 1.2568 |
| 1.2296 | 1.51 | 355 | 1.2511 |
| 1.1319 | 1.82 | 426 | 1.2487 |
| 1.2245 | 2.12 | 497 | 1.2527 |
| 1.0558 | 2.42 | 568 | 1.2620 |
| 1.1141 | 2.73 | 639 | 1.2540 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
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