transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:Chenchuhui/Icelandic-finetuned-no-data-augmentation license:cc-by-4.0 endpoints_compatible region:us
---
license: cc-by-4.0
base_model: Chenchuhui/Icelandic-finetuned-no-data-augmentation
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Icelandic-noAug-to-withAug
  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. -->

# Icelandic-noAug-to-withAug

This model is a fine-tuned version of [Chenchuhui/Icelandic-finetuned-no-data-augmentation](https://huggingface.co/Chenchuhui/Icelandic-finetuned-no-data-augmentation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2435
- Wer: 0.2215

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.2   | 10   | 0.6673          | 0.4206 |
| No log        | 0.4   | 20   | 0.5317          | 0.3602 |
| No log        | 0.6   | 30   | 0.4229          | 0.3121 |
| No log        | 0.8   | 40   | 0.3765          | 0.2819 |
| 0.7888        | 1.0   | 50   | 0.3486          | 0.2606 |
| 0.7888        | 1.2   | 60   | 0.3058          | 0.2394 |
| 0.7888        | 1.4   | 70   | 0.2923          | 0.2371 |
| 0.7888        | 1.6   | 80   | 0.2790          | 0.2271 |
| 0.7888        | 1.8   | 90   | 0.2507          | 0.2215 |
| 0.3794        | 2.0   | 100  | 0.2319          | 0.2114 |
| 0.3794        | 2.2   | 110  | 0.2187          | 0.2002 |
| 0.3794        | 2.4   | 120  | 0.2383          | 0.1991 |
| 0.3794        | 2.6   | 130  | 0.2320          | 0.1980 |
| 0.3794        | 2.8   | 140  | 0.2346          | 0.1980 |
| 0.2625        | 3.0   | 150  | 0.2286          | 0.1935 |
| 0.2625        | 3.2   | 160  | 0.2379          | 0.1924 |
| 0.2625        | 3.4   | 170  | 0.2134          | 0.1857 |
| 0.2625        | 3.6   | 180  | 0.2144          | 0.1890 |
| 0.2625        | 3.8   | 190  | 0.2218          | 0.1890 |
| 0.2221        | 4.0   | 200  | 0.2112          | 0.1935 |
| 0.2221        | 4.2   | 210  | 0.2041          | 0.1890 |
| 0.2221        | 4.4   | 220  | 0.1923          | 0.1745 |
| 0.2221        | 4.6   | 230  | 0.2031          | 0.1913 |
| 0.2221        | 4.8   | 240  | 0.2254          | 0.2036 |
| 0.1735        | 5.0   | 250  | 0.2232          | 0.2025 |
| 0.1735        | 5.2   | 260  | 0.1915          | 0.1812 |
| 0.1735        | 5.4   | 270  | 0.2135          | 0.1946 |
| 0.1735        | 5.6   | 280  | 0.2215          | 0.1969 |
| 0.1735        | 5.8   | 290  | 0.2204          | 0.1991 |
| 0.1813        | 6.0   | 300  | 0.2215          | 0.2047 |
| 0.1813        | 6.2   | 310  | 0.2201          | 0.2002 |
| 0.1813        | 6.4   | 320  | 0.2308          | 0.1991 |
| 0.1813        | 6.6   | 330  | 0.2474          | 0.2069 |
| 0.1813        | 6.8   | 340  | 0.2355          | 0.2081 |
| 0.2036        | 7.0   | 350  | 0.2274          | 0.2047 |
| 0.2036        | 7.2   | 360  | 0.2398          | 0.2081 |
| 0.2036        | 7.4   | 370  | 0.2162          | 0.1957 |
| 0.2036        | 7.6   | 380  | 0.2284          | 0.2047 |
| 0.2036        | 7.8   | 390  | 0.2402          | 0.1980 |
| 0.1953        | 8.0   | 400  | 0.1947          | 0.1946 |
| 0.1953        | 8.2   | 410  | 0.2114          | 0.2069 |
| 0.1953        | 8.4   | 420  | 0.2306          | 0.2237 |
| 0.1953        | 8.6   | 430  | 0.2182          | 0.2170 |
| 0.1953        | 8.8   | 440  | 0.2094          | 0.2170 |
| 0.1905        | 9.0   | 450  | 0.2671          | 0.2315 |
| 0.1905        | 9.2   | 460  | 0.3168          | 0.2136 |
| 0.1905        | 9.4   | 470  | 0.3005          | 0.2248 |
| 0.1905        | 9.6   | 480  | 0.2486          | 0.2260 |
| 0.1905        | 9.8   | 490  | 0.2349          | 0.2047 |
| 0.201         | 10.0  | 500  | 0.2435          | 0.2215 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
