safetensors 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: llama_finetune_race_20_cot
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama_finetune_race_20_cot

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: 3.2366

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2116        | 1.0   | 150  | 1.3188          |
| 0.8601        | 2.0   | 300  | 1.3724          |
| 0.5773        | 3.0   | 450  | 1.4924          |
| 0.6222        | 4.0   | 600  | 1.6729          |
| 0.2511        | 5.0   | 750  | 1.8350          |
| 0.1554        | 6.0   | 900  | 2.0826          |
| 0.1467        | 7.0   | 1050 | 2.2027          |
| 0.0909        | 8.0   | 1200 | 2.2817          |
| 0.0713        | 9.0   | 1350 | 2.3923          |
| 0.0501        | 10.0  | 1500 | 2.6003          |
| 0.0526        | 11.0  | 1650 | 2.5589          |
| 0.0522        | 12.0  | 1800 | 2.5545          |
| 0.0485        | 13.0  | 1950 | 2.7130          |
| 0.0297        | 14.0  | 2100 | 2.8527          |
| 0.03          | 15.0  | 2250 | 2.8907          |
| 0.0327        | 16.0  | 2400 | 3.0280          |
| 0.0351        | 17.0  | 2550 | 3.0299          |
| 0.0381        | 18.0  | 2700 | 3.1626          |
| 0.031         | 19.0  | 2850 | 3.2051          |
| 0.028         | 20.0  | 3000 | 3.2366          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.14.1
