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--- |
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license: cc-by-4.0 |
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base_model: carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Icelandic_model_aug_checkpoints |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Icelandic_model_aug_checkpoints |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2766 |
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- Wer: 0.2136 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 0.2 | 10 | 0.6818 | 0.3244 | |
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| No log | 0.4 | 20 | 0.4570 | 0.2841 | |
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| No log | 0.6 | 30 | 0.4281 | 0.2562 | |
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| No log | 0.8 | 40 | 0.4284 | 0.2282 | |
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| 0.8009 | 1.0 | 50 | 0.4335 | 0.2260 | |
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| 0.8009 | 1.2 | 60 | 0.4302 | 0.2159 | |
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| 0.8009 | 1.4 | 70 | 0.4113 | 0.2114 | |
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| 0.8009 | 1.6 | 80 | 0.3847 | 0.2159 | |
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| 0.8009 | 1.8 | 90 | 0.3795 | 0.2148 | |
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| 0.4567 | 2.0 | 100 | 0.3716 | 0.2058 | |
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| 0.4567 | 2.2 | 110 | 0.3848 | 0.2081 | |
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| 0.4567 | 2.4 | 120 | 0.3797 | 0.2036 | |
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| 0.4567 | 2.6 | 130 | 0.3695 | 0.2036 | |
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| 0.4567 | 2.8 | 140 | 0.3545 | 0.1969 | |
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| 0.3723 | 3.0 | 150 | 0.3433 | 0.1957 | |
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| 0.3723 | 3.2 | 160 | 0.3213 | 0.1957 | |
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| 0.3723 | 3.4 | 170 | 0.3068 | 0.1913 | |
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| 0.3723 | 3.6 | 180 | 0.3049 | 0.1902 | |
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| 0.3723 | 3.8 | 190 | 0.3039 | 0.1991 | |
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| 0.3259 | 4.0 | 200 | 0.2986 | 0.1913 | |
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| 0.3259 | 4.2 | 210 | 0.3181 | 0.1969 | |
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| 0.3259 | 4.4 | 220 | 0.3216 | 0.1857 | |
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| 0.3259 | 4.6 | 230 | 0.3336 | 0.1913 | |
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| 0.3259 | 4.8 | 240 | 0.3317 | 0.1980 | |
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| 0.2809 | 5.0 | 250 | 0.2948 | 0.2025 | |
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| 0.2809 | 5.2 | 260 | 0.3165 | 0.1879 | |
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| 0.2809 | 5.4 | 270 | 0.3289 | 0.2081 | |
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| 0.2809 | 5.6 | 280 | 0.3071 | 0.1913 | |
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| 0.2809 | 5.8 | 290 | 0.3116 | 0.1957 | |
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| 0.2711 | 6.0 | 300 | 0.2441 | 0.2136 | |
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| 0.2711 | 6.2 | 310 | 0.2961 | 0.2013 | |
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| 0.2711 | 6.4 | 320 | 0.3473 | 0.2069 | |
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| 0.2711 | 6.6 | 330 | 0.2201 | 0.2058 | |
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| 0.2711 | 6.8 | 340 | 0.2004 | 0.1991 | |
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| 0.2578 | 7.0 | 350 | 0.2213 | 0.2081 | |
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| 0.2578 | 7.2 | 360 | 0.3698 | 0.2081 | |
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| 0.2578 | 7.4 | 370 | 0.3921 | 0.2114 | |
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| 0.2578 | 7.6 | 380 | 0.3861 | 0.2204 | |
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| 0.2578 | 7.8 | 390 | 0.3792 | 0.2271 | |
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| 0.2503 | 8.0 | 400 | 0.3084 | 0.2092 | |
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| 0.2503 | 8.2 | 410 | 0.3273 | 0.2058 | |
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| 0.2503 | 8.4 | 420 | 0.3965 | 0.2069 | |
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| 0.2503 | 8.6 | 430 | 0.2838 | 0.2036 | |
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| 0.2503 | 8.8 | 440 | 0.3243 | 0.2148 | |
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| 0.2485 | 9.0 | 450 | 0.3139 | 0.2136 | |
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| 0.2485 | 9.2 | 460 | 0.3155 | 0.2036 | |
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| 0.2485 | 9.4 | 470 | 0.3140 | 0.2103 | |
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| 0.2485 | 9.6 | 480 | 0.2902 | 0.2349 | |
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| 0.2485 | 9.8 | 490 | 0.2389 | 0.2047 | |
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| 0.2567 | 10.0 | 500 | 0.2766 | 0.2136 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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