---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: icdsum-llm
  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. -->

# icdsum-llm

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4557

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5036        | 0.96  | 6    | 3.4557          |
| 3.5188        | 1.92  | 12   | 3.4557          |
| 3.5224        | 2.88  | 18   | 3.4557          |
| 3.0173        | 4.0   | 25   | 3.4557          |
| 3.5133        | 4.96  | 31   | 3.4557          |
| 3.5226        | 5.92  | 37   | 3.4557          |
| 3.5147        | 6.88  | 43   | 3.4557          |
| 3.0128        | 8.0   | 50   | 3.4557          |
| 3.5179        | 8.96  | 56   | 3.4557          |
| 3.115         | 9.6   | 60   | 3.4557          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2