End of training

README.md

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+---
+base_model: Shehryar718/URDU-ASR
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: URDU-ASR-25-EPOCH
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: ur
+      split: test
+      args: ur
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.47599520290920344
+---
+
+<!-- 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. -->
+
+# URDU-ASR-25-EPOCH
+
+This model is a fine-tuned version of [Shehryar718/URDU-ASR](https://huggingface.co/Shehryar718/URDU-ASR) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6782
+- Wer: 0.4760
+- Cer: 0.1986
+
+## 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: 7.5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 5.3707        | 1.0   | 341  | 1.3583          | 0.8266 | 0.3484 |
+| 0.4814        | 2.0   | 683  | 0.7213          | 0.5187 | 0.2196 |
+| 0.2821        | 3.0   | 1024 | 0.6354          | 0.4917 | 0.2066 |
+| 0.2368        | 4.0   | 1366 | 0.6730          | 0.5122 | 0.2181 |
+| 0.2105        | 5.0   | 1707 | 0.6430          | 0.4871 | 0.2076 |
+| 0.1965        | 6.0   | 2049 | 0.6397          | 0.4902 | 0.2136 |
+| 0.1879        | 7.0   | 2390 | 0.6397          | 0.4698 | 0.1951 |
+| 0.1743        | 8.0   | 2732 | 0.6636          | 0.4739 | 0.1996 |
+| 0.1632        | 9.0   | 3073 | 0.6752          | 0.4782 | 0.1996 |
+| 0.1572        | 10.0  | 3415 | 0.6859          | 0.4874 | 0.2072 |
+| 0.1586        | 11.0  | 3756 | 0.6761          | 0.4844 | 0.2069 |
+| 0.1595        | 12.0  | 4098 | 0.6846          | 0.4746 | 0.1959 |
+| 0.1534        | 13.0  | 4439 | 0.6750          | 0.4830 | 0.2034 |
+| 0.16          | 14.0  | 4781 | 0.6653          | 0.4826 | 0.2038 |
+| 0.1752        | 15.0  | 5122 | 0.6536          | 0.4727 | 0.1946 |
+| 0.1739        | 16.0  | 5464 | 0.6753          | 0.4738 | 0.1912 |
+| 0.1709        | 17.0  | 5805 | 0.6600          | 0.4730 | 0.1996 |
+| 0.1676        | 18.0  | 6147 | 0.6691          | 0.4678 | 0.1919 |
+| 0.1636        | 19.0  | 6488 | 0.6638          | 0.4772 | 0.1990 |
+| 0.1593        | 20.0  | 6830 | 0.6787          | 0.4764 | 0.1976 |
+| 0.1588        | 21.0  | 7171 | 0.6699          | 0.4772 | 0.1974 |
+| 0.1525        | 22.0  | 7513 | 0.6827          | 0.4738 | 0.1962 |
+| 0.1554        | 23.0  | 7854 | 0.6740          | 0.4736 | 0.1970 |
+| 0.1522        | 24.0  | 8196 | 0.6791          | 0.4768 | 0.1989 |
+| 0.1502        | 24.96 | 8525 | 0.6782          | 0.4760 | 0.1986 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.4
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,117 @@
+{
+  "_name_or_path": "Shehryar718/URDU-ASR",
+  "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": 0.0,
+  "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_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",
+  "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": 85,
+  "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": "4.35.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 88,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:792be48b27aa1b68defeead5887a633c262909da73f4db12689c3662437582eb
+size 1262168280

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

runs/Nov04_03-38-18_fakhir-OMEN-30L-Desktop-GT13-1xxx/events.out.tfevents.1699051170.fakhir-OMEN-30L-Desktop-GT13-1xxx.5491.0

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+size 19362

training_args.bin

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