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@@ -33,4 +33,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-language_model/unigrams.txt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,83 @@
+---
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: w2v-bert-studio
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# w2v-bert-studio
+
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1587
+- Wer: 0.1157
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
+|:-------------:|:------:|:-----:|:---------------:|:------:|
+| 1.0335        | 0.4932 | 600   | 0.3654          | 0.4387 |
+| 0.1531        | 0.9864 | 1200  | 0.2373          | 0.3332 |
+| 0.1074        | 1.4797 | 1800  | 0.2069          | 0.2953 |
+| 0.0928        | 1.9729 | 2400  | 0.2146          | 0.2814 |
+| 0.0734        | 2.4661 | 3000  | 0.1947          | 0.2433 |
+| 0.0678        | 2.9593 | 3600  | 0.1938          | 0.2406 |
+| 0.0522        | 3.4525 | 4200  | 0.1566          | 0.2053 |
+| 0.0493        | 3.9457 | 4800  | 0.1649          | 0.1988 |
+| 0.0366        | 4.4390 | 5400  | 0.1417          | 0.1834 |
+| 0.0372        | 4.9322 | 6000  | 0.1542          | 0.1749 |
+| 0.028         | 5.4254 | 6600  | 0.1476          | 0.1620 |
+| 0.0263        | 5.9186 | 7200  | 0.1388          | 0.1622 |
+| 0.0195        | 6.4118 | 7800  | 0.1384          | 0.1495 |
+| 0.0185        | 6.9051 | 8400  | 0.1351          | 0.1383 |
+| 0.0136        | 7.3983 | 9000  | 0.1404          | 0.1344 |
+| 0.0119        | 7.8915 | 9600  | 0.1253          | 0.1276 |
+| 0.0087        | 8.3847 | 10200 | 0.1443          | 0.1284 |
+| 0.0066        | 8.8779 | 10800 | 0.1475          | 0.1252 |
+| 0.0049        | 9.3711 | 11400 | 0.1577          | 0.1227 |
+| 0.0038        | 9.8644 | 12000 | 0.1587          | 0.1157 |
+
+
+### Framework versions
+
+- Transformers 4.42.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "</s>": 76,
+  "<s>": 75
+}

alphabet.json

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+{"labels": [" ", "\u0d02", "\u0d03", "\u0d05", "\u0d06", "\u0d07", "\u0d08", "\u0d09", "\u0d0a", "\u0d0b", "\u0d0e", "\u0d0f", "\u0d10", "\u0d12", "\u0d13", "\u0d14", "\u0d15", "\u0d16", "\u0d17", "\u0d18", "\u0d19", "\u0d1a", "\u0d1b", "\u0d1c", "\u0d1d", "\u0d1e", "\u0d1f", "\u0d20", "\u0d21", "\u0d22", "\u0d23", "\u0d24", "\u0d25", "\u0d26", "\u0d27", "\u0d28", "\u0d2a", "\u0d2b", "\u0d2c", "\u0d2d", "\u0d2e", "\u0d2f", "\u0d30", "\u0d31", "\u0d32", "\u0d33", "\u0d34", "\u0d35", "\u0d36", "\u0d37", "\u0d38", "\u0d39", "\u0d3e", "\u0d3f", "\u0d40", "\u0d41", "\u0d42", "\u0d43", "\u0d46", "\u0d47", "\u0d48", "\u0d4a", "\u0d4b", "\u0d4c", "\u0d4d", "\u0d57", "\u0d7a", "\u0d7b", "\u0d7c", "\u0d7d", "\u0d7e", "\u200c", "\u200d", "\u2047", "", "<s>", "</s>"], "is_bpe": false}

config.json

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+{
+  "_name_or_path": "facebook/w2v-bert-2.0",
+  "activation_dropout": 0.0,
+  "adapter_act": "relu",
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": true,
+  "apply_spec_augment": false,
+  "architectures": [
+    "Wav2Vec2BertForCTC"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "classifier_proj_size": 768,
+  "codevector_dim": 768,
+  "conformer_conv_dropout": 0.1,
+  "contrastive_logits_temperature": 0.1,
+  "conv_depthwise_kernel_size": 31,
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "eos_token_id": 2,
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "feature_projection_input_dim": 160,
+  "final_dropout": 0.1,
+  "hidden_act": "swish",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "left_max_position_embeddings": 64,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.0,
+  "max_source_positions": 5000,
+  "model_type": "wav2vec2-bert",
+  "num_adapter_layers": 1,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 74,
+  "position_embeddings_type": "relative_key",
+  "proj_codevector_dim": 768,
+  "right_max_position_embeddings": 8,
+  "rotary_embedding_base": 10000,
+  "tdnn_dilation": [
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+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
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+    3,
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+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.2",
+  "use_intermediate_ffn_before_adapter": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 77,
+  "xvector_output_dim": 512
+}

model.safetensors

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preprocessor_config.json

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+{
+  "feature_extractor_type": "SeamlessM4TFeatureExtractor",
+  "feature_size": 80,
+  "num_mel_bins": 80,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "Wav2Vec2ProcessorWithLM",
+  "return_attention_mask": true,
+  "sampling_rate": 16000,
+  "stride": 2
+}

special_tokens_map.json

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+{
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "73": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
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+      "single_word": false,
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "processor_class": "Wav2Vec2ProcessorWithLM",
+  "replace_word_delimiter_char": " ",
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "[UNK]",
+  "word_delimiter_token": "|"
+}

training_args.bin

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vocab.json

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+}