generated_from_trainer base_model:meta-llama/Llama-2-7b-hf region:us
---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama2_lora_ice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2_lora_ice

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9765

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100000

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 2.2437        | 0.19  | 5000   | 2.2019          |
| 2.2007        | 0.38  | 10000  | 2.1012          |
| 2.1122        | 0.57  | 15000  | 2.0569          |
| 2.0245        | 0.75  | 20000  | 2.0304          |
| 2.0999        | 0.94  | 25000  | 2.0149          |
| 2.0091        | 1.13  | 30000  | 2.0047          |
| 2.0459        | 1.32  | 35000  | 1.9975          |
| 2.0464        | 1.51  | 40000  | 1.9912          |
| 1.9638        | 1.7   | 45000  | 1.9869          |
| 2.0021        | 1.88  | 50000  | 1.9836          |
| 2.0201        | 2.07  | 55000  | 1.9819          |
| 2.0176        | 2.26  | 60000  | 1.9800          |
| 1.9951        | 2.45  | 65000  | 1.9789          |
| 2.0183        | 2.64  | 70000  | 1.9780          |
| 2.0013        | 2.83  | 75000  | 1.9773          |
| 2.0242        | 3.02  | 80000  | 1.9769          |
| 1.9803        | 3.2   | 85000  | 1.9766          |
| 2.0179        | 3.39  | 90000  | 1.9766          |
| 1.9712        | 3.58  | 95000  | 1.9765          |
| 2.0008        | 3.77  | 100000 | 1.9765          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
