---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: yam-peleg/Experiment26-7B
model-index:
- name: flippa-exp26-v3-7b
  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. -->

# flippa-exp26-v3-7b

This model is a fine-tuned version of [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B) on the cognitivecomputations/dolphin flan1malpaca and dolphincoder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2118

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4828        | 1.0   | 500  | 1.3111          |
| 1.1442        | 2.0   | 1000 | 1.2297          |
| 1.1031        | 3.0   | 1500 | 1.2118          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2