dmusingu/muk-luganda-digits-classification

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: muk-luganda-digits-classification
+  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. -->
+
+# muk-luganda-digits-classification
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.1901
+- Accuracy: 0.2414
+
+## 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: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 75
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.304         | 1.0   | 58   | 2.3169          | 0.1034   |
+| 2.2989        | 2.0   | 116  | 2.3166          | 0.0690   |
+| 2.2921        | 3.0   | 174  | 2.3167          | 0.1379   |
+| 2.2843        | 4.0   | 232  | 2.3237          | 0.1034   |
+| 2.2657        | 5.0   | 290  | 2.3195          | 0.0690   |
+| 2.2519        | 6.0   | 348  | 2.2997          | 0.1034   |
+| 2.2187        | 7.0   | 406  | 2.3050          | 0.1034   |
+| 2.15          | 8.0   | 464  | 2.2577          | 0.1034   |
+| 2.0555        | 9.0   | 522  | 2.2375          | 0.1379   |
+| 1.9332        | 10.0  | 580  | 2.2008          | 0.2414   |
+| 1.8073        | 11.0  | 638  | 2.1950          | 0.1724   |
+| 1.6742        | 12.0  | 696  | 2.2654          | 0.1724   |
+| 1.5511        | 13.0  | 754  | 2.1905          | 0.1724   |
+| 1.4453        | 14.0  | 812  | 2.2018          | 0.2069   |
+| 1.3227        | 15.0  | 870  | 2.1572          | 0.2759   |
+| 1.2019        | 16.0  | 928  | 2.4037          | 0.2414   |
+| 1.1151        | 17.0  | 986  | 2.4147          | 0.3103   |
+| 0.9743        | 18.0  | 1044 | 2.3563          | 0.2759   |
+| 0.9336        | 19.0  | 1102 | 2.2765          | 0.3103   |
+| 0.852         | 20.0  | 1160 | 2.3266          | 0.3448   |
+| 0.7096        | 21.0  | 1218 | 2.2129          | 0.4138   |
+| 0.6183        | 22.0  | 1276 | 2.4103          | 0.3103   |
+| 0.6018        | 23.0  | 1334 | 2.8189          | 0.2759   |
+| 0.5155        | 24.0  | 1392 | 2.9791          | 0.2759   |
+| 0.4233        | 25.0  | 1450 | 2.9289          | 0.3103   |
+| 0.4213        | 26.0  | 1508 | 3.2987          | 0.2759   |
+| 0.4613        | 27.0  | 1566 | 3.1643          | 0.3103   |
+| 0.4414        | 28.0  | 1624 | 2.9910          | 0.3448   |
+| 0.4033        | 29.0  | 1682 | 3.2960          | 0.3103   |
+| 0.3761        | 30.0  | 1740 | 3.5232          | 0.2759   |
+| 0.2886        | 31.0  | 1798 | 3.9775          | 0.2414   |
+| 0.3646        | 32.0  | 1856 | 3.4826          | 0.3103   |
+| 0.3371        | 33.0  | 1914 | 3.5032          | 0.3793   |
+| 0.2169        | 34.0  | 1972 | 3.4125          | 0.3448   |
+| 0.2906        | 35.0  | 2030 | 3.3535          | 0.3793   |
+| 0.414         | 36.0  | 2088 | 3.7734          | 0.2069   |
+| 0.2058        | 37.0  | 2146 | 3.7419          | 0.2759   |
+| 0.188         | 38.0  | 2204 | 3.7832          | 0.3103   |
+| 0.2209        | 39.0  | 2262 | 3.6297          | 0.2414   |
+| 0.2403        | 40.0  | 2320 | 3.7870          | 0.3103   |
+| 0.2483        | 41.0  | 2378 | 3.9331          | 0.3448   |
+| 0.2409        | 42.0  | 2436 | 4.1382          | 0.3103   |
+| 0.2415        | 43.0  | 2494 | 4.1796          | 0.2759   |
+| 0.1496        | 44.0  | 2552 | 4.1671          | 0.3448   |
+| 0.1874        | 45.0  | 2610 | 4.5372          | 0.2069   |
+| 0.2092        | 46.0  | 2668 | 4.8994          | 0.2414   |
+| 0.2016        | 47.0  | 2726 | 4.4871          | 0.2414   |
+| 0.259         | 48.0  | 2784 | 4.1237          | 0.2759   |
+| 0.2078        | 49.0  | 2842 | 4.9369          | 0.2414   |
+| 0.1413        | 50.0  | 2900 | 4.9249          | 0.2414   |
+| 0.1453        | 51.0  | 2958 | 5.1858          | 0.2414   |
+| 0.1963        | 52.0  | 3016 | 3.9934          | 0.3103   |
+| 0.2249        | 53.0  | 3074 | 4.2996          | 0.3103   |
+| 0.2058        | 54.0  | 3132 | 3.7626          | 0.3448   |
+| 0.2483        | 55.0  | 3190 | 4.6947          | 0.2759   |
+| 0.209         | 56.0  | 3248 | 4.0701          | 0.3793   |
+| 0.144         | 57.0  | 3306 | 4.5588          | 0.2414   |
+| 0.2093        | 58.0  | 3364 | 4.9072          | 0.3103   |
+| 0.143         | 59.0  | 3422 | 5.1035          | 0.2414   |
+| 0.2102        | 60.0  | 3480 | 5.3840          | 0.2069   |
+| 0.1507        | 61.0  | 3538 | 5.3511          | 0.2414   |
+| 0.1826        | 62.0  | 3596 | 5.0179          | 0.2069   |
+| 0.1407        | 63.0  | 3654 | 5.2103          | 0.1724   |
+| 0.1395        | 64.0  | 3712 | 5.4675          | 0.2069   |
+| 0.1683        | 65.0  | 3770 | 5.3124          | 0.2414   |
+| 0.1761        | 66.0  | 3828 | 4.8748          | 0.2414   |
+| 0.1868        | 67.0  | 3886 | 4.9547          | 0.2414   |
+| 0.2524        | 68.0  | 3944 | 4.9069          | 0.2759   |
+| 0.1367        | 69.0  | 4002 | 4.8562          | 0.2414   |
+| 0.1368        | 70.0  | 4060 | 4.9808          | 0.2414   |
+| 0.1841        | 71.0  | 4118 | 5.1471          | 0.2414   |
+| 0.1658        | 72.0  | 4176 | 5.1741          | 0.2414   |
+| 0.1553        | 73.0  | 4234 | 5.2040          | 0.2414   |
+| 0.1625        | 74.0  | 4292 | 5.1895          | 0.2414   |
+| 0.1823        | 75.0  | 4350 | 5.1901          | 0.2414   |
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,141 @@
+{
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "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": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "freeze_feat_extract_train": true,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "notti",
+    "1": "emu",
+    "2": "bbiri",
+    "3": "ssatu",
+    "4": "nnya",
+    "5": "ttaano",
+    "6": "mukaaga",
+    "7": "musanvu",
+    "8": "munaana",
+    "9": "mwenda"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "bbiri": 2,
+    "emu": 1,
+    "mukaaga": 6,
+    "munaana": 8,
+    "musanvu": 7,
+    "mwenda": 9,
+    "nnya": 4,
+    "notti": 0,
+    "ssatu": 3,
+    "ttaano": 5
+  },
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_channel_length": 10,
+  "mask_channel_min_space": 1,
+  "mask_channel_other": 0.0,
+  "mask_channel_prob": 0.0,
+  "mask_channel_selection": "static",
+  "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_min_space": 1,
+  "mask_time_other": 0.0,
+  "mask_time_prob": 0.05,
+  "mask_time_selection": "static",
+  "model_type": "wav2vec2",
+  "no_mask_channel_overlap": false,
+  "no_mask_time_overlap": false,
+  "num_adapter_layers": 3,
+  "num_attention_heads": 12,
+  "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": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "transformers_version": "4.56.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:83a905e0c6ced500f849e1c7a90338b1f01dfed272580dd770af2850ca20de56
+size 378310592

preprocessor_config.json

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

training_args.bin

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+size 5841