Pushing language model

README.md

@@ -1,3 +1,107 @@
----
-license: apache-2.0
----
+---
+base_model: facebook/wav2vec2-xls-r-300m
+license: apache-2.0
+metrics:
+- wer
+tags:
+- generated_from_trainer
+model-index:
+- name: bambara-5-hours-bambara-asr-hf
+  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. -->
+
+# bambara-5-hours-bambara-asr-hf
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8042
+- Wer: 0.5257
+- Cer: 0.2399
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 5.6981        | 1.13  | 200  | 2.9919          | 1.0    | 1.0    |
+| 2.9496        | 2.27  | 400  | 2.9333          | 1.0    | 1.0    |
+| 2.4081        | 3.4   | 600  | 1.4375          | 0.8869 | 0.4174 |
+| 1.5268        | 4.53  | 800  | 1.1942          | 0.7734 | 0.3602 |
+| 1.3291        | 5.67  | 1000 | 1.1261          | 0.6712 | 0.2994 |
+| 1.2301        | 6.8   | 1200 | 1.0859          | 0.6470 | 0.2892 |
+| 1.1379        | 7.93  | 1400 | 1.0552          | 0.6314 | 0.2813 |
+| 1.0664        | 9.07  | 1600 | 1.0684          | 0.6079 | 0.2731 |
+| 0.9866        | 10.2  | 1800 | 1.0584          | 0.6110 | 0.2756 |
+| 0.9625        | 11.33 | 2000 | 1.0776          | 0.5757 | 0.2590 |
+| 0.8828        | 12.46 | 2200 | 1.1372          | 0.5865 | 0.2596 |
+| 0.8451        | 13.6  | 2400 | 1.0821          | 0.5645 | 0.2574 |
+| 0.8016        | 14.73 | 2600 | 1.1293          | 0.5754 | 0.2608 |
+| 0.7615        | 15.86 | 2800 | 1.1312          | 0.5586 | 0.2519 |
+| 0.715         | 17.0  | 3000 | 1.1657          | 0.5635 | 0.2558 |
+| 0.6792        | 18.13 | 3200 | 1.2197          | 0.5521 | 0.2517 |
+| 0.6498        | 19.26 | 3400 | 1.1157          | 0.5606 | 0.2533 |
+| 0.6221        | 20.4  | 3600 | 1.2632          | 0.5501 | 0.2507 |
+| 0.5912        | 21.53 | 3800 | 1.1686          | 0.5520 | 0.2505 |
+| 0.5614        | 22.66 | 4000 | 1.3080          | 0.5547 | 0.2542 |
+| 0.5485        | 23.8  | 4200 | 1.2349          | 0.5601 | 0.2583 |
+| 0.5235        | 24.93 | 4400 | 1.2541          | 0.5458 | 0.2489 |
+| 0.5084        | 26.06 | 4600 | 1.2414          | 0.5500 | 0.2514 |
+| 0.4741        | 27.2  | 4800 | 1.5119          | 0.5444 | 0.2470 |
+| 0.4699        | 28.33 | 5000 | 1.2778          | 0.5525 | 0.2524 |
+| 0.4511        | 29.46 | 5200 | 1.5488          | 0.5502 | 0.2494 |
+| 0.4181        | 30.59 | 5400 | 1.3489          | 0.5522 | 0.2536 |
+| 0.4149        | 31.73 | 5600 | 1.5685          | 0.5460 | 0.2454 |
+| 0.3998        | 32.86 | 5800 | 1.4369          | 0.5434 | 0.2494 |
+| 0.401         | 33.99 | 6000 | 1.5961          | 0.5376 | 0.2433 |
+| 0.3744        | 35.13 | 6200 | 1.5695          | 0.5361 | 0.2452 |
+| 0.36          | 36.26 | 6400 | 1.5968          | 0.5400 | 0.2445 |
+| 0.3435        | 37.39 | 6600 | 1.6238          | 0.5334 | 0.2424 |
+| 0.3337        | 38.53 | 6800 | 1.6619          | 0.5340 | 0.2440 |
+| 0.3232        | 39.66 | 7000 | 1.6444          | 0.5345 | 0.2446 |
+| 0.3224        | 40.79 | 7200 | 1.7175          | 0.5417 | 0.2451 |
+| 0.303         | 41.93 | 7400 | 1.6966          | 0.5273 | 0.2417 |
+| 0.3028        | 43.06 | 7600 | 1.7403          | 0.5325 | 0.2431 |
+| 0.2899        | 44.19 | 7800 | 1.7688          | 0.5255 | 0.2398 |
+| 0.2861        | 45.33 | 8000 | 1.7705          | 0.5269 | 0.2405 |
+| 0.2744        | 46.46 | 8200 | 1.7792          | 0.5244 | 0.2396 |
+| 0.2731        | 47.59 | 8400 | 1.7876          | 0.5286 | 0.2412 |
+| 0.27          | 48.73 | 8600 | 1.8060          | 0.5264 | 0.2403 |
+| 0.2643        | 49.86 | 8800 | 1.8042          | 0.5257 | 0.2399 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.17.0
+- Tokenizers 0.15.2

added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "</s>": 39,
+  "<s>": 38
+}

alphabet.json

@@ -0,0 +1 @@
+{"labels": [" ", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u00e1", "\u00e7", "\u00ea", "\u00ed", "\u00fa", "\u014b", "\u0254", "\u025b", "\u0272", "\u2047", "", "<s>", "</s>"], "is_bpe": false}

config.json

@@ -0,0 +1,109 @@
+{
+  "_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": 0.1,
+  "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": true,
+  "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": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "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": 0.05,
+  "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": 37,
+  "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": "4.38.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 40,
+  "xvector_output_dim": 512
+}

language_model/5gram.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a2935b1b23655f32bf0b2f3152f5281180498b0e52c19ef6da1286a31ab7d58
+size 16490821

language_model/attrs.json

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+{"alpha": 0.5, "beta": 1.5, "unk_score_offset": -10.0, "score_boundary": true}

model.safetensors

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+size 1261971480

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": {
+    "36": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "37": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "38": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "39": {
+      "content": "</s>",
+      "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:b243d2f49a567b285ff56051e569a3d608ca76aa03cc8f4119b7fd2bb7bdaab8
+size 4984

vocab.json

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+{
+  "[PAD]": 37,
+  "[UNK]": 36,
+  "a": 1,
+  "b": 2,
+  "c": 3,
+  "d": 4,
+  "e": 5,
+  "f": 6,
+  "g": 7,
+  "h": 8,
+  "i": 9,
+  "j": 10,
+  "k": 11,
+  "l": 12,
+  "m": 13,
+  "n": 14,
+  "o": 15,
+  "p": 16,
+  "q": 17,
+  "r": 18,
+  "s": 19,
+  "t": 20,
+  "u": 21,
+  "v": 22,
+  "w": 23,
+  "x": 24,
+  "y": 25,
+  "z": 26,
+  "|": 0,
+  "á": 27,
+  "ç": 28,
+  "ê": 29,
+  "í": 30,
+  "ú": 31,
+  "ŋ": 32,
+  "ɔ": 33,
+  "ɛ": 34,
+  "ɲ": 35
+}