---
library_name: transformers
language:
- en
license: apache-2.0
base_model: google/flan-t5-xl
tags:
- generated_from_trainer
model-index:
- name: flan-t5-xl-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. -->

# flan-t5-xl-summary-map-reduce-1024

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the pszemraj/summary-map-reduce dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6039
- Num Input Tokens Seen: 7138765

## 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: 8e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 17868
- gradient_accumulation_steps: 32
- 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: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.8172        | 0.3851 | 100  | 0.6644          | 1364870           |
| 0.7664        | 0.7702 | 200  | 0.6271          | 2744502           |
| 0.6584        | 1.1552 | 300  | 0.6146          | 4137699           |
| 0.6348        | 1.5403 | 400  | 0.6049          | 5518719           |
| 0.6372        | 1.9254 | 500  | 0.6038          | 6895203           |


### Framework versions

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