---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: deepseek-ai/deepseek-coder-6.7b-instruct
model-index:
- name: deepseek-coder-6.7b-instruct-TAVGEN-finetune
  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. -->

# deepseek-coder-6.7b-instruct-TAVGEN-finetune

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3206

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5933        | 0.21  | 25   | 0.4703          |
| 0.4589        | 0.42  | 50   | 0.4026          |
| 0.4226        | 0.63  | 75   | 0.3733          |
| 0.3968        | 0.84  | 100  | 0.3605          |
| 0.3645        | 1.05  | 125  | 0.3483          |
| 0.355         | 1.26  | 150  | 0.3421          |
| 0.3318        | 1.47  | 175  | 0.3365          |
| 0.3377        | 1.68  | 200  | 0.3318          |
| 0.3111        | 1.89  | 225  | 0.3287          |
| 0.3324        | 2.1   | 250  | 0.3242          |
| 0.2757        | 2.31  | 275  | 0.3254          |
| 0.3061        | 2.52  | 300  | 0.3253          |
| 0.3015        | 2.73  | 325  | 0.3218          |
| 0.2674        | 2.94  | 350  | 0.3209          |
| 0.2579        | 3.15  | 375  | 0.3208          |
| 0.2601        | 3.36  | 400  | 0.3225          |
| 0.2396        | 3.57  | 425  | 0.3222          |
| 0.2504        | 3.78  | 450  | 0.3220          |
| 0.2786        | 3.99  | 475  | 0.3206          |
| 0.2357        | 4.2   | 500  | 0.3206          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0