---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-ocp-chat
  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-small-ocp-chat

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6956
- Rouge1: 71.3805
- Rouge2: 0.0
- Rougel: 71.3805
- Rougelsum: 72.2222
- Gen Len: 19.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 9    | 0.8045          | 71.3805 | 0.0    | 71.3805 | 72.2222   | 19.0    |
| No log        | 2.0   | 18   | 0.7547          | 65.8249 | 0.0    | 66.6667 | 66.6667   | 19.0    |
| No log        | 3.0   | 27   | 0.7110          | 71.3805 | 0.0    | 71.3805 | 72.2222   | 19.0    |
| No log        | 4.0   | 36   | 0.6956          | 71.3805 | 0.0    | 71.3805 | 72.2222   | 19.0    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3