jonatasgrosman
commited on
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jonatasgrosman/exp_w2v2r_de_xls-r_age_teens-2_sixties-8_s289
Browse files- .gitattributes +1 -0
- README.md +17 -0
- config.json +108 -0
- cv7_evaluation.json +396 -0
- cv7_transcriptions.json +3 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +1 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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cv7_transcriptions.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,17 @@
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---
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language:
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- de
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- de
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datasets:
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- mozilla-foundation/common_voice_7_0
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---
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# exp_w2v2r_de_xls-r_age_teens-2_sixties-8_s289
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Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
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When using this model, make sure that your speech input is sampled at 16kHz.
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This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
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config.json
ADDED
@@ -0,0 +1,108 @@
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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"activation_dropout": 0.05,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.05,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.05,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.05,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.05,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.05,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 0,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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1,
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],
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 38,
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"xvector_output_dim": 512
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}
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cv7_evaluation.json
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@@ -0,0 +1,396 @@
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{
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"validation": [
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{
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