---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: transcriber-t5-v8-new
  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. -->

# transcriber-t5-v8-new

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0818

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1008        | 0.72  | 500  | 0.1306          |
| 0.069         | 1.43  | 1000 | 0.1227          |
| 0.1052        | 2.15  | 1500 | 0.1209          |
| 0.1017        | 2.86  | 2000 | 0.0992          |
| 0.0828        | 3.58  | 2500 | 0.0919          |
| 0.0471        | 4.29  | 3000 | 0.0927          |
| 0.0769        | 5.01  | 3500 | 0.0849          |
| 0.0732        | 5.72  | 4000 | 0.0862          |
| 0.0801        | 6.44  | 4500 | 0.0857          |
| 0.0428        | 7.15  | 5000 | 0.0815          |
| 0.1119        | 7.87  | 5500 | 0.0790          |
| 0.0692        | 8.58  | 6000 | 0.0780          |
| 0.0684        | 9.3   | 6500 | 0.0818          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3