---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: ibm-granite/granite-8b-code-instruct
model-index:
- name: peft-dialogue-summary-training-1716404262
  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. -->

# peft-dialogue-summary-training-1716404262

This model is a fine-tuned version of [ibm-granite/granite-8b-code-instruct](https://huggingface.co/ibm-granite/granite-8b-code-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5224

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 400

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.625         | 0.1453 | 25   | 5.7401          |
| 5.3519        | 0.2907 | 50   | 4.5831          |
| 4.2545        | 0.4360 | 75   | 3.8334          |
| 4.2506        | 0.5814 | 100  | 3.3488          |
| 3.5118        | 0.7267 | 125  | 2.8198          |
| 3.1713        | 0.8721 | 150  | 2.4324          |
| 2.5504        | 1.0174 | 175  | 2.3330          |
| 2.174         | 1.1628 | 200  | 2.2412          |
| 1.878         | 1.3081 | 225  | 2.1900          |
| 1.9039        | 1.4535 | 250  | 2.0439          |
| 1.7977        | 1.5988 | 275  | 1.9491          |
| 1.7755        | 1.7442 | 300  | 1.8278          |
| 1.629         | 1.8895 | 325  | 1.6587          |
| 1.5533        | 2.0349 | 350  | 1.5799          |
| 1.2937        | 2.1802 | 375  | 1.5344          |
| 1.1375        | 2.3256 | 400  | 1.5224          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1