transformers safetensors t5 text2text-generation generated_from_trainer base_model:samanjoy2/bn2ipa_TwoBraincells autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: samanjoy2/bn2ipa_TwoBraincells
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bn2ipa_TwoBraincells
  results: []
---

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# bn2ipa_TwoBraincells

This model is a fine-tuned version of [samanjoy2/bn2ipa_TwoBraincells](https://huggingface.co/samanjoy2/bn2ipa_TwoBraincells) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Wer: 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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0454        | 1.23  | 100  | 0.0105          | 0.0283 |
| 0.0151        | 2.47  | 200  | 0.0024          | 0.0068 |
| 0.0052        | 3.7   | 300  | 0.0013          | 0.0025 |
| 0.0035        | 4.94  | 400  | 0.0005          | 0.0012 |
| 0.0013        | 6.17  | 500  | 0.0001          | 0.0    |
| 0.0009        | 7.41  | 600  | 0.0003          | 0.0003 |
| 0.0015        | 8.64  | 700  | 0.0001          | 0.0    |
| 0.0007        | 9.88  | 800  | 0.0001          | 0.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
