End of training
Browse files- README.md +58 -0
- added_tokens.json +4 -0
- model.safetensors +1 -1
- preprocessor_config.json +1 -0
- runs/Feb06_16-47-28_b3ce89a1c4cd/events.out.tfevents.1707238264.b3ce89a1c4cd.2195.3 +2 -2
- special_tokens_map.json +6 -0
- tokenizer_config.json +48 -0
- vocab.json +37 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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model-index:
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- name: Runyakore_XlSR_WAV2VEC
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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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# Runyakore_XlSR_WAV2VEC
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.4952
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- eval_wer: 0.5667
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- eval_runtime: 16.7338
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- eval_samples_per_second: 5.737
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- eval_steps_per_second: 0.717
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- epoch: 5.4
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- step: 13000
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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: 0.0001
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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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: 20
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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added_tokens.json
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{
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"</s>": 36,
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"<s>": 35
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1261959180
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size 1261959180
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preprocessor_config.json
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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runs/Feb06_16-47-28_b3ce89a1c4cd/events.out.tfevents.1707238264.b3ce89a1c4cd.2195.3
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size 93294
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"33": {
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"content": "[UNK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"34": {
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"content": "[PAD]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"35": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"36": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": false,
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"processor_class": "Wav2Vec2Processor",
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"replace_word_delimiter_char": " ",
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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}
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vocab.json
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{
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"'": 1,
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"/": 20,
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"1": 2,
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"3": 10,
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"8": 6,
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"9": 16,
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"[PAD]": 34,
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"[UNK]": 33,
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"a": 31,
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"b": 11,
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"c": 15,
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"d": 12,
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"e": 13,
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"h": 3,
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"i": 32,
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"r": 0,
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"u": 7,
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"v": 18,
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"w": 24,
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"x": 21,
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"y": 5,
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"z": 14,
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"|": 25,
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"’": 26
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}
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