transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: volk_assistant
  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. -->

# volk_assistant

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0610
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0

## 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: 0.0003
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 4    | 0.2216          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 2.0   | 8    | 0.1434          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 3.0   | 12   | 0.1166          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 4.0   | 16   | 0.0772          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 5.0   | 20   | 0.0732          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 6.0   | 24   | 0.0673          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 7.0   | 28   | 0.0663          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 8.0   | 32   | 0.0621          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 9.0   | 36   | 0.0610          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 10.0  | 40   | 0.0651          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 11.0  | 44   | 0.0696          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 12.0  | 48   | 0.0708          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 13.0  | 52   | 0.0762          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 14.0  | 56   | 0.0817          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 15.0  | 60   | 0.0828          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 16.0  | 64   | 0.0812          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 17.0  | 68   | 0.0794          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 18.0  | 72   | 0.0781          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 19.0  | 76   | 0.0770          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 20.0  | 80   | 0.0763          | 0.0    | 0.0    | 0.0    | 0.0       |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
