peft tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: customer_care_dialog_summary_mistral_7b_v01
  results: []
---

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# customer_care_dialog_summary_mistral_7b_v01

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8595

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.491         | 1.0   | 440  | 1.4360          |
| 1.2818        | 2.0   | 880  | 1.4264          |
| 1.1281        | 3.0   | 1320 | 1.4359          |
| 0.9752        | 4.0   | 1760 | 1.5236          |
| 0.8254        | 5.0   | 2200 | 1.6037          |
| 0.6862        | 6.0   | 2640 | 1.7587          |
| 0.5772        | 7.0   | 3080 | 1.8595          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0