dmusingu/muk-english-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: lg-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. -->
+
+# lg-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: 2.5405
+- Accuracy: 0.6087
+
+## 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9211        | 1.0   | 47   | 2.0718          | 0.2174   |
+| 1.9034        | 2.0   | 94   | 2.0263          | 0.2174   |
+| 1.8375        | 3.0   | 141  | 2.1374          | 0.2609   |
+| 1.7839        | 4.0   | 188  | 2.0091          | 0.3043   |
+| 1.6964        | 5.0   | 235  | 2.0135          | 0.2609   |
+| 1.6485        | 6.0   | 282  | 1.9707          | 0.4348   |
+| 1.5452        | 7.0   | 329  | 1.8629          | 0.3043   |
+| 1.4662        | 8.0   | 376  | 1.8037          | 0.4348   |
+| 1.3512        | 9.0   | 423  | 1.6884          | 0.5217   |
+| 1.2567        | 10.0  | 470  | 1.7180          | 0.5652   |
+| 1.1825        | 11.0  | 517  | 1.5855          | 0.5652   |
+| 1.0535        | 12.0  | 564  | 1.6781          | 0.4783   |
+| 0.9519        | 13.0  | 611  | 1.5681          | 0.5652   |
+| 0.9136        | 14.0  | 658  | 1.4914          | 0.6087   |
+| 0.7924        | 15.0  | 705  | 1.7370          | 0.5652   |
+| 0.6775        | 16.0  | 752  | 1.6007          | 0.5652   |
+| 0.7597        | 17.0  | 799  | 1.5242          | 0.6087   |
+| 0.5731        | 18.0  | 846  | 1.7712          | 0.6087   |
+| 0.5235        | 19.0  | 893  | 1.5915          | 0.5652   |
+| 0.5463        | 20.0  | 940  | 1.7188          | 0.5652   |
+| 0.4434        | 21.0  | 987  | 1.8435          | 0.5652   |
+| 0.3921        | 22.0  | 1034 | 1.8180          | 0.6522   |
+| 0.4408        | 23.0  | 1081 | 1.9594          | 0.5652   |
+| 0.3323        | 24.0  | 1128 | 1.9446          | 0.5652   |
+| 0.2806        | 25.0  | 1175 | 1.9466          | 0.5652   |
+| 0.2228        | 26.0  | 1222 | 2.1430          | 0.5652   |
+| 0.3144        | 27.0  | 1269 | 2.2630          | 0.5652   |
+| 0.2841        | 28.0  | 1316 | 2.1039          | 0.5652   |
+| 0.2392        | 29.0  | 1363 | 2.1887          | 0.6087   |
+| 0.1964        | 30.0  | 1410 | 2.1597          | 0.6522   |
+| 0.2014        | 31.0  | 1457 | 2.2470          | 0.6087   |
+| 0.194         | 32.0  | 1504 | 2.3058          | 0.5652   |
+| 0.202         | 33.0  | 1551 | 2.4327          | 0.5652   |
+| 0.1968        | 34.0  | 1598 | 2.4571          | 0.5652   |
+| 0.1675        | 35.0  | 1645 | 2.4031          | 0.6087   |
+| 0.2261        | 36.0  | 1692 | 2.4036          | 0.6087   |
+| 0.279         | 37.0  | 1739 | 2.4073          | 0.6087   |
+| 0.2378        | 38.0  | 1786 | 2.4481          | 0.6087   |
+| 0.2414        | 39.0  | 1833 | 2.4839          | 0.6087   |
+| 0.189         | 40.0  | 1880 | 2.5730          | 0.5652   |
+| 0.2018        | 41.0  | 1927 | 2.6159          | 0.5652   |
+| 0.2418        | 42.0  | 1974 | 2.4725          | 0.5652   |
+| 0.1489        | 43.0  | 2021 | 2.4596          | 0.5652   |
+| 0.2277        | 44.0  | 2068 | 2.4913          | 0.6087   |
+| 0.2313        | 45.0  | 2115 | 2.4922          | 0.6087   |
+| 0.2333        | 46.0  | 2162 | 2.4951          | 0.6087   |
+| 0.2201        | 47.0  | 2209 | 2.5213          | 0.6087   |
+| 0.2116        | 48.0  | 2256 | 2.5164          | 0.6087   |
+| 0.2122        | 49.0  | 2303 | 2.5424          | 0.6087   |
+| 0.1965        | 50.0  | 2350 | 2.5405          | 0.6087   |
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.22.1

config.json

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+{
+  "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": "zero",
+    "1": "one",
+    "2": "two",
+    "3": "three",
+    "4": "four",
+    "5": "five",
+    "6": "six",
+    "7": "seven",
+    "8": "eight",
+    "9": "nine"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "eight": 8,
+    "five": 5,
+    "four": 4,
+    "nine": 9,
+    "one": 1,
+    "seven": 7,
+    "six": 6,
+    "three": 3,
+    "two": 2,
+    "zero": 0
+  },
+  "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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+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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