End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/hubert-large-ls960-ft
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: hubert_arabic_mdd_50
+  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. -->
+
+# hubert_arabic_mdd_50
+
+This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5409
+- Wer: 0.0470
+- Per: 0.0360
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 8.874         | 1.0   | 818   | 2.7367          | 1.0    | 1.0    |
+| 1.4558        | 2.0   | 1636  | 0.6219          | 0.2525 | 0.2344 |
+| 0.3775        | 3.0   | 2454  | 0.4014          | 0.0885 | 0.0742 |
+| 0.2126        | 4.0   | 3272  | 0.4332          | 0.0656 | 0.0500 |
+| 0.1658        | 5.0   | 4090  | 0.4970          | 0.0608 | 0.0464 |
+| 0.1308        | 6.0   | 4908  | 0.4520          | 0.0591 | 0.0445 |
+| 0.1058        | 7.0   | 5726  | 0.4513          | 0.0531 | 0.0407 |
+| 0.0968        | 8.0   | 6544  | 0.4253          | 0.0548 | 0.0413 |
+| 0.0871        | 9.0   | 7362  | 0.4232          | 0.0524 | 0.0405 |
+| 0.0681        | 10.0  | 8180  | 0.4612          | 0.0508 | 0.0392 |
+| 0.0651        | 11.0  | 8998  | 0.4978          | 0.0516 | 0.0394 |
+| 0.0587        | 12.0  | 9816  | 0.5069          | 0.0512 | 0.0389 |
+| 0.046         | 13.0  | 10634 | 0.5170          | 0.0489 | 0.0370 |
+| 0.0439        | 14.0  | 11452 | 0.5758          | 0.0536 | 0.0417 |
+| 0.0401        | 15.0  | 12270 | 0.5238          | 0.0500 | 0.0384 |
+| 0.0346        | 16.0  | 13088 | 0.5668          | 0.0483 | 0.0368 |
+| 0.0334        | 17.0  | 13906 | 0.5343          | 0.0459 | 0.0350 |
+| 0.0336        | 18.0  | 14724 | 0.5242          | 0.0466 | 0.0361 |
+| 0.0266        | 19.0  | 15542 | 0.5379          | 0.0467 | 0.0359 |
+| 0.0245        | 20.0  | 16360 | 0.5409          | 0.0470 | 0.0360 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "facebook/hubert-large-ls960-ft",
+  "activation_dropout": 0.1,
+  "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,
+  "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_proj_layer_norm": true,
+  "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": "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 40
+}

model.safetensors

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+oid sha256:4ee6f6ca88287e33f3f2b75c8fb334268df49b2e3f074e94c75735776318bb82
+size 1261970648

preprocessor_config.json

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

training_args.bin

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+size 4600