---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-large-summary-map-reduce-1024
  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. -->

# bart-large-summary-map-reduce-1024

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7903
- Num Input Tokens Seen: 12814620

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 17868
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 1.0645        | 0.3834 | 100  | 0.9265          | 1844404           |
| 1.0769        | 0.7668 | 200  | 0.8621          | 3640408           |
| 0.849         | 1.1503 | 300  | 0.8502          | 5504644           |
| 0.8612        | 1.5337 | 400  | 0.8289          | 7316212           |
| 0.7934        | 1.9171 | 500  | 0.8072          | 9167936           |
| 0.6701        | 2.3005 | 600  | 0.8051          | 10969348          |
| 0.6579        | 2.6839 | 700  | 0.7903          | 12814620          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.2