---
license: other
base_model: baffo32/decapoda-research-llama-7B-hf
tags:
- generated_from_trainer
model-index:
- name: olinaweights
  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. -->

# olinaweights

This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0104

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.01  | 100  | 0.1012          |
| No log        | 0.03  | 200  | 0.0426          |
| 0.1403        | 0.04  | 300  | 0.0455          |
| 0.1403        | 0.05  | 400  | 0.0258          |
| 0.0307        | 0.07  | 500  | 0.0227          |
| 0.0307        | 0.08  | 600  | 0.0200          |
| 0.0307        | 0.09  | 700  | 0.0164          |
| 0.019         | 0.11  | 800  | 0.0126          |
| 0.019         | 0.12  | 900  | 0.0117          |
| 0.0115        | 0.13  | 1000 | 0.0104          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1