transformers safetensors llama text-generation generated_from_trainer base_model:h2oai/h2ogpt-16k-codellama-7b-instruct license:llama2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: llama2
base_model: h2oai/h2ogpt-16k-codellama-7b-instruct
tags:
- generated_from_trainer
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [h2oai/h2ogpt-16k-codellama-7b-instruct](https://huggingface.co/h2oai/h2ogpt-16k-codellama-7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1710

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.801         | 0.58  | 20   | 0.4678          |
| 0.4313        | 1.17  | 40   | 0.2828          |
| 0.2631        | 1.75  | 60   | 0.1710          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
