---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: conversation-summ
  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. -->

# conversation-summ

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4017

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.754         | 1.0   | 1095  | 1.7898          |
| 1.3195        | 2.0   | 2190  | 1.8284          |
| 0.989         | 3.0   | 3285  | 1.9271          |
| 0.642         | 4.0   | 4380  | 2.2351          |
| 0.4801        | 5.0   | 5475  | 2.5309          |
| 0.308         | 6.0   | 6570  | 2.7884          |
| 0.2           | 7.0   | 7665  | 3.1011          |
| 0.1416        | 8.0   | 8760  | 3.1495          |
| 0.0919        | 9.0   | 9855  | 3.3318          |
| 0.0674        | 10.0  | 10950 | 3.4017          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3