End of training

README.md

@@ -1,199 +1,84 @@
 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/hubert-large-ll60k
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: huber_arabic_mdd_v2
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
-
-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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-## Uses
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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. -->
+
+# huber_arabic_mdd_v2
+
+This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2858
+- Wer: 0.0564
+- Cer: 0.0459
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 3.3219        | 0.9951  | 102  | 3.2861          | 1.0    | 1.0    |
+| 3.2152        | 2.0     | 205  | 3.1685          | 1.0    | 1.0    |
+| 2.5507        | 2.9951  | 307  | 2.3708          | 0.9718 | 0.9819 |
+| 0.5766        | 4.0     | 410  | 0.6351          | 0.2216 | 0.2046 |
+| 0.2255        | 4.9951  | 512  | 0.3469          | 0.0889 | 0.0740 |
+| 0.1148        | 6.0     | 615  | 0.3393          | 0.0776 | 0.0635 |
+| 0.1222        | 6.9951  | 717  | 0.3368          | 0.0688 | 0.0535 |
+| 0.075         | 8.0     | 820  | 0.2846          | 0.0610 | 0.0479 |
+| 0.0631        | 8.9951  | 922  | 0.2948          | 0.0589 | 0.0453 |
+| 0.0365        | 10.0    | 1025 | 0.2657          | 0.0552 | 0.0432 |
+| 0.0484        | 10.9951 | 1127 | 0.2631          | 0.0573 | 0.0458 |
+| 0.046         | 12.0    | 1230 | 0.2817          | 0.0572 | 0.0462 |
+| 0.0326        | 12.9951 | 1332 | 0.2807          | 0.0587 | 0.0473 |
+| 0.0379        | 14.0    | 1435 | 0.2682          | 0.0590 | 0.0479 |
+| 0.0328        | 14.9951 | 1537 | 0.2773          | 0.0545 | 0.0440 |
+| 0.0398        | 16.0    | 1640 | 0.2727          | 0.0576 | 0.0462 |
+| 0.0165        | 16.9951 | 1742 | 0.2844          | 0.0573 | 0.0466 |
+| 0.0201        | 18.0    | 1845 | 0.2812          | 0.0564 | 0.0455 |
+| 0.0207        | 18.9951 | 1947 | 0.2860          | 0.0569 | 0.0465 |
+| 0.0194        | 19.9024 | 2040 | 0.2858          | 0.0564 | 0.0459 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,83 @@
+{
+  "_name_or_path": "facebook/hubert-large-ll60k",
+  "activation_dropout": 0.0,
+  "apply_spec_augment": true,
+  "architectures": [
+    "HubertForCTC"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "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": false,
+  "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_proj_layer_norm": true,
+  "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": "hubert",
+  "num_attention_heads": 16,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "pad_token_id": 37,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 40
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:229381c79d3019ad0dd55ec05ab21e950e0809f3e041f4decfc3b5f354e88239
+size 1261970648

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
+}

training_args.bin

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+size 5048