Commit
•
c4e5ff9
1
Parent(s):
68bb20c
up
Browse files- config.json +275 -0
- create_model.py +29 -0
- flax_model.msgpack +3 -0
- merges.txt +0 -0
- preprocessor_config.json +9 -0
- run_flax_speech_recognition_seq2seq.py +1 -0
- run_librispeech.sh +32 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,275 @@
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{
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"architectures": [
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"SpeechEncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "facebook/bart-large-cnn",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_cross_attention": true,
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"add_final_layer_norm": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bad_words_ids": null,
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"bos_token_id": 0,
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"chunk_size_feed_forward": 0,
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+
"classif_dropout": 0.0,
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+
"classifier_dropout": 0.0,
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+
"cross_attention_hidden_size": null,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"dropout": 0.1,
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"early_stopping": true,
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+
"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 2,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"force_bos_token_to_be_generated": true,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"length_penalty": 2.0,
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"max_length": 142,
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"max_position_embeddings": 1024,
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"min_length": 56,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"num_beam_groups": 1,
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"num_beams": 4,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"output_scores": false,
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"pad_token_id": 1,
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"prefix": " ",
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"problem_type": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"scale_embedding": false,
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"sep_token_id": null,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"no_repeat_ngram_size": 3,
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"num_beams": 4
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}
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},
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.18.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false,
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"use_cache": true,
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"vocab_size": 50264
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},
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"decoder_start_token_id": 0,
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"encoder": {
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"_name_or_path": "facebook/wav2vec2-large-lv60",
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"activation_dropout": 0.1,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": true,
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"add_cross_attention": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForPreTraining"
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],
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"attention_dropout": 0.1,
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+
"bad_words_ids": null,
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+
"bos_token_id": 1,
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+
"chunk_size_feed_forward": 0,
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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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2,
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2,
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2
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],
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"cross_attention_hidden_size": null,
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"ctc_loss_reduction": "sum",
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"ctc_zero_infinity": false,
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+
"decoder_start_token_id": null,
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+
"diversity_loss_weight": 0.1,
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+
"diversity_penalty": 0.0,
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+
"do_sample": false,
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+
"do_stable_layer_norm": true,
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+
"early_stopping": false,
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162 |
+
"encoder_no_repeat_ngram_size": 0,
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+
"eos_token_id": 2,
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+
"exponential_decay_length_penalty": null,
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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": 0.0,
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+
"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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+
"finetuning_task": null,
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+
"forced_bos_token_id": null,
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+
"forced_eos_token_id": null,
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+
"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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+
"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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+
"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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+
"intermediate_size": 4096,
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+
"is_decoder": false,
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+
"is_encoder_decoder": false,
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+
"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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+
"length_penalty": 1.0,
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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": 0.1,
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"max_length": 20,
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"min_length": 0,
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+
"model_type": "wav2vec2",
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+
"no_repeat_ngram_size": 0,
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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"num_beam_groups": 1,
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"num_beams": 1,
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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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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_size": 1024,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 0,
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"prefix": null,
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"problem_type": null,
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"proj_codevector_dim": 768,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"sep_token_id": null,
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"task_specific_params": null,
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"tdnn_dilation": [
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1,
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2,
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3,
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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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5,
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3,
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3,
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1,
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1
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],
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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+
"top_k": 50,
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"top_p": 1.0,
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+
"torch_dtype": null,
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259 |
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"torchscript": false,
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+
"transformers_version": "4.18.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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},
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"eos_token_id": 2,
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"is_encoder_decoder": true,
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"max_length": 40,
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"model_type": "speech-encoder-decoder",
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"pad_token_id": 1,
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"processor_class": "Wav2Vec2Processor",
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"transformers_version": null,
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"use_cache": false
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}
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create_model.py
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import jax.numpy as jnp
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from transformers import AutoFeatureExtractor, AutoTokenizer, FlaxSpeechEncoderDecoderModel
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encoder_id = "facebook/wav2vec2-large-lv60"
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decoder_id = "facebook/bart-large-cnn"
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model = FlaxSpeechEncoderDecoderModel.from_encoder_decoder_pretrained(encoder_id, decoder_id, encoder_add_adapter=True)
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model.config.encoder.feat_proj_dropout = 0.0
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model.config.encoder.final_dropout = 0.0
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model.config.encoder.mask_time_prob = 0.1
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model.config.decoder_start_token_id = model.config.decoder.bos_token_id
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model.config.pad_token_id = model.config.decoder.pad_token_id
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model.config.eos_token_id = model.config.decoder.eos_token_id
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model.config.max_length = 40
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model.config.num_beams = 1
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model.config.encoder.layerdrop = 0.0
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model.config.use_cache = False
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model.config.processor_class = "Wav2Vec2Processor"
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# check if generation works
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out = model.generate(jnp.ones((1, 2000)))
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model.save_pretrained("./")
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feature_extractor = AutoFeatureExtractor.from_pretrained(encoder_id)
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feature_extractor.save_pretrained("./")
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tokenizer = AutoTokenizer.from_pretrained(decoder_id)
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tokenizer.save_pretrained("./")
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:59f268b5fa61d5eb20929dce97dfcfbd6123017d61789aef700566461af24242
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size 2353635949
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merges.txt
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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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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run_flax_speech_recognition_seq2seq.py
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/home/sanchit_huggingface_co/transformers/examples/flax/speech-recognition/run_flax_speech_recognition_seq2seq.py
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run_librispeech.sh
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#!/usr/bin/env bash
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python run_flax_speech_recognition_seq2seq.py \
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--dataset_name="librispeech_asr" \
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--model_name_or_path="./" \
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--dataset_config_name="clean" \
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--train_split_name="train.100" \
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--eval_split_name="validation" \
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--output_dir="./" \
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--preprocessing_num_workers="16" \
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--length_column_name="input_length" \
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--overwrite_output_dir \
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--num_train_epochs="5" \
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--per_device_train_batch_size="4" \
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--per_device_eval_batch_size="4" \
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--gradient_accumulation_steps="2" \
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--logging_steps="25" \
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--max_duration_in_seconds="15" \
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--max_target_length="64" \
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--generation_max_length="40" \
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--generation_num_beams="1" \
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--learning_rate="3e-4" \
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--warmup_steps="500" \
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--text_column_name="text" \
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--save_total_limit="1" \
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--freeze_feature_encoder \
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--predict_with_generate \
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--do_lower_case \
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--do_eval \
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--do_train \
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--push_to_hub \
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--use_auth_token
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "facebook/bart-large-cnn", "tokenizer_class": "BartTokenizer"}
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vocab.json
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