End of training

README.md

@@ -1,199 +1,114 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: ssc-sco-w2vbase-model
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-
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-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+<!-- 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. -->
+
+# ssc-sco-w2vbase-model
+
+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: 3.0812
+- Cer: 0.9998
+- Wer: 1.0
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Cer    | Wer |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:---:|
+| 3.1625        | 0.4032  | 200  | 3.0701          | 0.9998 | 1.0 |
+| 3.1393        | 0.8065  | 400  | 3.0657          | 0.9999 | 1.0 |
+| 3.1551        | 1.2097  | 600  | 3.1028          | 0.9998 | 1.0 |
+| 3.1429        | 1.6129  | 800  | 3.0916          | 0.9999 | 1.0 |
+| 3.1722        | 2.0161  | 1000 | 3.1351          | 0.9998 | 1.0 |
+| 3.1605        | 2.4194  | 1200 | 3.0805          | 0.9998 | 1.0 |
+| 3.1633        | 2.8226  | 1400 | 3.0856          | 0.9998 | 1.0 |
+| 3.1585        | 3.2258  | 1600 | 3.0938          | 0.9998 | 1.0 |
+| 3.138         | 3.6290  | 1800 | 3.1041          | 0.9998 | 1.0 |
+| 3.1666        | 4.0323  | 2000 | 3.1156          | 0.9999 | 1.0 |
+| 3.1477        | 4.4355  | 2200 | 3.1114          | 0.9998 | 1.0 |
+| 3.1513        | 4.8387  | 2400 | 3.0858          | 0.9998 | 1.0 |
+| 3.1523        | 5.2419  | 2600 | 3.0905          | 0.9999 | 1.0 |
+| 3.1549        | 5.6452  | 2800 | 3.0889          | 0.9998 | 1.0 |
+| 3.1609        | 6.0484  | 3000 | 3.0869          | 0.9999 | 1.0 |
+| 3.1462        | 6.4516  | 3200 | 3.0699          | 0.9998 | 1.0 |
+| 3.1431        | 6.8548  | 3400 | 3.0883          | 0.9999 | 1.0 |
+| 3.1398        | 7.2581  | 3600 | 3.0844          | 0.9999 | 1.0 |
+| 3.154         | 7.6613  | 3800 | 3.0878          | 0.9998 | 1.0 |
+| 3.1502        | 8.0645  | 4000 | 3.0847          | 0.9998 | 1.0 |
+| 3.153         | 8.4677  | 4200 | 3.0783          | 0.9998 | 1.0 |
+| 3.1551        | 8.8710  | 4400 | 3.0826          | 0.9999 | 1.0 |
+| 3.1478        | 9.2742  | 4600 | 3.0764          | 0.9998 | 1.0 |
+| 3.1439        | 9.6774  | 4800 | 3.0705          | 0.9999 | 1.0 |
+| 3.1614        | 10.0806 | 5000 | 3.0687          | 0.9998 | 1.0 |
+| 3.1563        | 10.4839 | 5200 | 3.0752          | 0.9999 | 1.0 |
+| 3.1504        | 10.8871 | 5400 | 3.0656          | 0.9998 | 1.0 |
+| 3.1543        | 11.2903 | 5600 | 3.0634          | 0.9998 | 1.0 |
+| 3.1507        | 11.6935 | 5800 | 3.0638          | 0.9998 | 1.0 |
+| 3.1642        | 12.0968 | 6000 | 3.0673          | 0.9998 | 1.0 |
+| 3.1646        | 12.5    | 6200 | 3.0658          | 0.9998 | 1.0 |
+| 3.1546        | 12.9032 | 6400 | 3.0638          | 0.9998 | 1.0 |
+| 3.145         | 13.3065 | 6600 | 3.0587          | 0.9998 | 1.0 |
+| 3.1464        | 13.7097 | 6800 | 3.0661          | 0.9998 | 1.0 |
+| 3.1346        | 14.1129 | 7000 | 3.0645          | 0.9998 | 1.0 |
+| 3.1554        | 14.5161 | 7200 | 3.0632          | 0.9998 | 1.0 |
+| 3.1627        | 14.9194 | 7400 | 3.0640          | 0.9999 | 1.0 |
+| 3.1607        | 15.3226 | 7600 | 3.0734          | 0.9999 | 1.0 |
+| 3.1475        | 15.7258 | 7800 | 3.0789          | 0.9999 | 1.0 |
+| 3.1356        | 16.1290 | 8000 | 3.0725          | 0.9998 | 1.0 |
+| 3.1452        | 16.5323 | 8200 | 3.0739          | 0.9999 | 1.0 |
+| 3.1475        | 16.9355 | 8400 | 3.0767          | 0.9999 | 1.0 |
+| 3.1366        | 17.3387 | 8600 | 3.0762          | 0.9998 | 1.0 |
+| 3.146         | 17.7419 | 8800 | 3.0816          | 0.9998 | 1.0 |
+| 3.1452        | 18.1452 | 9000 | 3.0815          | 0.9998 | 1.0 |
+| 3.1483        | 18.5484 | 9200 | 3.0837          | 0.9998 | 1.0 |
+| 3.1331        | 18.9516 | 9400 | 3.0808          | 0.9998 | 1.0 |
+| 3.146         | 19.3548 | 9600 | 3.0821          | 0.9999 | 1.0 |
+| 3.1597        | 19.7581 | 9800 | 3.0812          | 0.9998 | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.52.1
+- Pytorch 2.9.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.4

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": [
+    "Wav2Vec2ForCTC"
+  ],
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+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "freeze_feat_extract_train": true,
+  "hidden_act": "gelu",
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+  "initializer_range": 0.02,
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+  "layer_norm_eps": 1e-05,
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+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
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+  "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,
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+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 86,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
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+  "tdnn_kernel": [
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+  "torch_dtype": "float32",
+  "transformers_version": "4.52.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 89,
+  "xvector_output_dim": 512
+}

model.safetensors

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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": true,
+  "sampling_rate": 16000
+}

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