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--- |
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language: |
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- el |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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- whisper-large |
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- mozilla-foundation/common_voice_11_0 |
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- greek |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-lg-el-intlv-xs-2 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 el |
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type: mozilla-foundation/common_voice_11_0 |
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config: el |
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split: test |
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metrics: |
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- name: Wer |
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type: wer |
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value: 9.50037147102526 |
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--- |
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# whisper-lg-el-intlv-xs-2 |
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This model is a fine-tuned version of [farsipal/whisper-lg-el-intlv-xs](https://huggingface.co/farsipal/whisper-lg-el-intlv-xs) on the mozilla-foundation/common_voice_11_0,google/fleurs el,el_gr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2872 |
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- Wer: 9.5004 |
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## Model description |
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The model was trained on two interleaved datasets for transcription in the Greek language. |
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## Intended uses & limitations |
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Transcription in the Greek language |
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## Training and evaluation data |
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Training was performed on two interleaved datasets. Testing was performed on common voice 11.0 (el) test only. |
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## Training procedure |
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``` |
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--model_name_or_path 'farsipal/whisper-lg-el-intlv-xs' \ |
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--model_revision main \ |
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--do_train True \ |
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--do_eval True \ |
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--use_auth_token False \ |
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--freeze_feature_encoder False \ |
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--freeze_encoder False \ |
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--model_index_name 'whisper-lg-el-intlv-xs-2' \ |
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--dataset_name 'mozilla-foundation/common_voice_11_0,google/fleurs' \ |
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--dataset_config_name 'el,el_gr' \ |
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--train_split_name 'train+validation,train+validation' \ |
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--eval_split_name 'test,-' \ |
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--text_column_name 'sentence,transcription' \ |
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--audio_column_name 'audio,audio' \ |
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--streaming False \ |
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--max_duration_in_seconds 30 \ |
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--do_lower_case False \ |
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--do_remove_punctuation False \ |
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--do_normalize_eval True \ |
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--language greek \ |
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--task transcribe \ |
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--shuffle_buffer_size 500 \ |
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--output_dir './data/finetuningRuns/whisper-lg-el-intlv-xs-2' \ |
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--overwrite_output_dir True \ |
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--per_device_train_batch_size 8 \ |
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--gradient_accumulation_steps 4 \ |
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--learning_rate 3.5e-6 \ |
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--dropout 0.15 \ |
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--attention_dropout 0.05 \ |
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--warmup_steps 500 \ |
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--max_steps 5000 \ |
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--eval_steps 1000 \ |
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--gradient_checkpointing True \ |
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--cache_dir '~/.cache' \ |
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--fp16 True \ |
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--evaluation_strategy steps \ |
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--per_device_eval_batch_size 8 \ |
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--predict_with_generate True \ |
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--generation_max_length 225 \ |
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--save_steps 1000 \ |
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--logging_steps 25 \ |
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--report_to tensorboard \ |
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--load_best_model_at_end True \ |
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--metric_for_best_model wer \ |
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--greater_is_better False \ |
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--push_to_hub False \ |
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--dataloader_num_workers 6 |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3.5e-06 |
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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: 4 |
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- total_train_batch_size: 32 |
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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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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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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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| 0.0813 | 2.49 | 1000 | 0.2147 | 10.8284 | |
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| 0.0379 | 4.98 | 2000 | 0.2439 | 10.0111 | |
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| 0.0195 | 7.46 | 3000 | 0.2767 | 9.8811 | |
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| 0.0126 | 9.95 | 4000 | 0.2872 | 9.5004 | |
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| 0.0103 | 12.44 | 5000 | 0.3021 | 9.6954 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.8.1.dev0 |
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- Tokenizers 0.13.2 |
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