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README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: XLSR-LM-NewData
+  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. -->
+
+# XLSR-LM-NewData
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1395
+- Wer: 0.2952
+
+## 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: 0.00024
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 800
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 1.4912        | 0.1165 | 1000 | 0.5497          | 0.7011 |
+| 0.5377        | 0.2330 | 2000 | 0.3292          | 0.5364 |
+| 0.4343        | 0.3494 | 3000 | 0.2475          | 0.4424 |
+| 0.3678        | 0.4659 | 4000 | 0.2145          | 0.4014 |
+| 0.3345        | 0.5824 | 5000 | 0.1898          | 0.3774 |
+| 0.3029        | 0.6989 | 6000 | 0.1718          | 0.3441 |
+| 0.2685        | 0.8153 | 7000 | 0.1517          | 0.3135 |
+| 0.2385        | 0.9318 | 8000 | 0.1395          | 0.2952 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "</s>": 77,
+  "<s>": 76,
+  "dummy1": 78,
+  "dummy2": 79
+}

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", "\u200e", "\u2047", "", "<s>", "</s>", "dummy1", "dummy2"], "is_bpe": false}

config.json

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+{
+  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.094,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.05,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.045,
+  "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": 0.082,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 75,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 80,
+  "xvector_output_dim": 512
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6da39ad618919201735047e455a8848429268f4fa92f890e1a16397fe50f7489
+size 1262135480

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "Wav2Vec2ProcessorWithLM",
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "74": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
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+    "75": {
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+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
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+    "76": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "77": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "78": {
+      "content": "dummy1",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "79": {
+      "content": "dummy2",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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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+oid sha256:e27d53ffc74b6f94b7a51230d9d08bfc81e5fc03114a45c15ce34547ff48bcc2
+size 5240

vocab.json

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+}