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---
license: cc-by-4.0
base_model: carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Icelandic_model_aug_checkpoints
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_model_aug_checkpoints
This model is a fine-tuned version of [carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h](https://huggingface.co/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2766
- Wer: 0.2136
## 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 | 0.6818 | 0.3244 |
| No log | 0.4 | 20 | 0.4570 | 0.2841 |
| No log | 0.6 | 30 | 0.4281 | 0.2562 |
| No log | 0.8 | 40 | 0.4284 | 0.2282 |
| 0.8009 | 1.0 | 50 | 0.4335 | 0.2260 |
| 0.8009 | 1.2 | 60 | 0.4302 | 0.2159 |
| 0.8009 | 1.4 | 70 | 0.4113 | 0.2114 |
| 0.8009 | 1.6 | 80 | 0.3847 | 0.2159 |
| 0.8009 | 1.8 | 90 | 0.3795 | 0.2148 |
| 0.4567 | 2.0 | 100 | 0.3716 | 0.2058 |
| 0.4567 | 2.2 | 110 | 0.3848 | 0.2081 |
| 0.4567 | 2.4 | 120 | 0.3797 | 0.2036 |
| 0.4567 | 2.6 | 130 | 0.3695 | 0.2036 |
| 0.4567 | 2.8 | 140 | 0.3545 | 0.1969 |
| 0.3723 | 3.0 | 150 | 0.3433 | 0.1957 |
| 0.3723 | 3.2 | 160 | 0.3213 | 0.1957 |
| 0.3723 | 3.4 | 170 | 0.3068 | 0.1913 |
| 0.3723 | 3.6 | 180 | 0.3049 | 0.1902 |
| 0.3723 | 3.8 | 190 | 0.3039 | 0.1991 |
| 0.3259 | 4.0 | 200 | 0.2986 | 0.1913 |
| 0.3259 | 4.2 | 210 | 0.3181 | 0.1969 |
| 0.3259 | 4.4 | 220 | 0.3216 | 0.1857 |
| 0.3259 | 4.6 | 230 | 0.3336 | 0.1913 |
| 0.3259 | 4.8 | 240 | 0.3317 | 0.1980 |
| 0.2809 | 5.0 | 250 | 0.2948 | 0.2025 |
| 0.2809 | 5.2 | 260 | 0.3165 | 0.1879 |
| 0.2809 | 5.4 | 270 | 0.3289 | 0.2081 |
| 0.2809 | 5.6 | 280 | 0.3071 | 0.1913 |
| 0.2809 | 5.8 | 290 | 0.3116 | 0.1957 |
| 0.2711 | 6.0 | 300 | 0.2441 | 0.2136 |
| 0.2711 | 6.2 | 310 | 0.2961 | 0.2013 |
| 0.2711 | 6.4 | 320 | 0.3473 | 0.2069 |
| 0.2711 | 6.6 | 330 | 0.2201 | 0.2058 |
| 0.2711 | 6.8 | 340 | 0.2004 | 0.1991 |
| 0.2578 | 7.0 | 350 | 0.2213 | 0.2081 |
| 0.2578 | 7.2 | 360 | 0.3698 | 0.2081 |
| 0.2578 | 7.4 | 370 | 0.3921 | 0.2114 |
| 0.2578 | 7.6 | 380 | 0.3861 | 0.2204 |
| 0.2578 | 7.8 | 390 | 0.3792 | 0.2271 |
| 0.2503 | 8.0 | 400 | 0.3084 | 0.2092 |
| 0.2503 | 8.2 | 410 | 0.3273 | 0.2058 |
| 0.2503 | 8.4 | 420 | 0.3965 | 0.2069 |
| 0.2503 | 8.6 | 430 | 0.2838 | 0.2036 |
| 0.2503 | 8.8 | 440 | 0.3243 | 0.2148 |
| 0.2485 | 9.0 | 450 | 0.3139 | 0.2136 |
| 0.2485 | 9.2 | 460 | 0.3155 | 0.2036 |
| 0.2485 | 9.4 | 470 | 0.3140 | 0.2103 |
| 0.2485 | 9.6 | 480 | 0.2902 | 0.2349 |
| 0.2485 | 9.8 | 490 | 0.2389 | 0.2047 |
| 0.2567 | 10.0 | 500 | 0.2766 | 0.2136 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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