End of training

README.md

@@ -1,199 +1,89 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: elgeish/wav2vec2-large-xlsr-53-arabic
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: elgeish-wav2vec2-arabic-fine-tuning_6P
+  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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-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. -->
+
+# elgeish-wav2vec2-arabic-fine-tuning_6P
+
+This model is a fine-tuned version of [elgeish/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/elgeish/wav2vec2-large-xlsr-53-arabic) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4511
+- Wer: 0.4936
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 33.2595       | 0.8   | 100  | 10.7960         | 1.0    |
+| 14.3333       | 1.6   | 200  | 8.1978          | 1.0    |
+| 4.8209        | 2.4   | 300  | 3.2571          | 1.0    |
+| 3.1719        | 3.2   | 400  | 3.1181          | 1.0    |
+| 3.0831        | 4.0   | 500  | 3.0458          | 1.0    |
+| 2.5752        | 4.8   | 600  | 1.5734          | 1.0    |
+| 1.4728        | 5.6   | 700  | 1.2424          | 0.8933 |
+| 1.1457        | 6.4   | 800  | 1.0115          | 0.8471 |
+| 1.0544        | 7.2   | 900  | 1.1768          | 0.8726 |
+| 1.065         | 8.0   | 1000 | 1.1300          | 0.8232 |
+| 0.9797        | 8.8   | 1100 | 1.0768          | 0.8248 |
+| 0.8787        | 9.6   | 1200 | 1.2050          | 0.8519 |
+| 0.7859        | 10.4  | 1300 | 0.8281          | 0.7564 |
+| 0.7123        | 11.2  | 1400 | 0.8351          | 0.7086 |
+| 0.6248        | 12.0  | 1500 | 0.9252          | 0.7834 |
+| 0.5965        | 12.8  | 1600 | 0.6848          | 0.6879 |
+| 0.4854        | 13.6  | 1700 | 0.6451          | 0.6322 |
+| 0.4371        | 14.4  | 1800 | 0.5714          | 0.6003 |
+| 0.3767        | 15.2  | 1900 | 0.6853          | 0.6178 |
+| 0.3472        | 16.0  | 2000 | 0.6118          | 0.6035 |
+| 0.3105        | 16.8  | 2100 | 0.5476          | 0.5764 |
+| 0.2706        | 17.6  | 2200 | 0.4950          | 0.5446 |
+| 0.2378        | 18.4  | 2300 | 0.5300          | 0.5096 |
+| 0.2028        | 19.2  | 2400 | 0.4686          | 0.5048 |
+| 0.1851        | 20.0  | 2500 | 0.4511          | 0.4936 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,110 @@
+{
+  "_name_or_path": "elgeish/wav2vec2-large-xlsr-53-arabic",
+  "activation_dropout": 0.1,
+  "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": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
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+    512,
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+  ],
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+  "conv_stride": [
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+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "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": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 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": 38,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
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+  "tdnn_kernel": [
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+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 39,
+  "xvector_output_dim": 512
+}

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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": false,
+  "sampling_rate": 16000
+}

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