---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- unsloth
- generated_from_trainer
datasets:
- generator
model-index:
- name: MLP-FinLLM-7b-it
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MLP-FinLLM-7b-it

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4445

## 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: 0.0025177606136092684
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5449        | 1.22  | 50   | 0.7534          |
| 0.3165        | 2.44  | 100  | 0.5170          |
| 0.2331        | 3.66  | 150  | 0.4445          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2