---
license: other
base_model: decapoda-research/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama-fintech-2
  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-fintech-2

This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1633

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 1234
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4519        | 0.15  | 50   | 2.4590          |
| 2.2828        | 0.3   | 100  | 2.1885          |
| 1.9412        | 0.45  | 150  | 1.5739          |
| 1.6658        | 0.6   | 200  | 1.3218          |
| 1.6407        | 0.76  | 250  | 1.2165          |
| 1.6254        | 0.91  | 300  | 1.1633          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3