---
license: apache-2.0
base_model: Felladrin/Smol-Llama-101M-Chat-v1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smol_llama_DialogSumm
  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. -->

# smol_llama_DialogSumm

This model is a fine-tuned version of [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1) on [Isotonic/DialogSumm](https://huggingface.co/datasets/Isotonic/DialogSumm) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8918
- Accuracy: 0.6050

## 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-04
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 411  | 2.0053          | 0.5871   |
| 2.0885        | 2.0   | 822  | 1.9287          | 0.5971   |
| 1.8728        | 3.0   | 1233 | 1.8916          | 0.6039   |
| 1.7214        | 4.0   | 1644 | 1.8918          | 0.6050   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1