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_5
+  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_5
+
+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: 0.6845
+- Wer: 0.1910
+- Per: 0.1682
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 21.0868       | 1.0   | 82   | 3.5829          | 1.0    | 1.0    |
+| 3.5419        | 2.0   | 164  | 3.3544          | 1.0    | 1.0    |
+| 3.3109        | 3.0   | 246  | 3.1878          | 1.0    | 1.0    |
+| 3.2117        | 4.0   | 328  | 3.1324          | 1.0    | 1.0    |
+| 3.0509        | 5.0   | 410  | 2.9238          | 1.0    | 1.0    |
+| 2.7904        | 6.0   | 492  | 2.4830          | 1.0    | 1.0    |
+| 2.2728        | 7.0   | 574  | 2.0478          | 0.8358 | 0.8474 |
+| 1.8365        | 8.0   | 656  | 1.6043          | 0.7094 | 0.7206 |
+| 1.4603        | 9.0   | 738  | 1.2872          | 0.6193 | 0.6247 |
+| 1.2203        | 10.0  | 820  | 1.2694          | 0.4343 | 0.4229 |
+| 0.9726        | 11.0  | 902  | 0.9350          | 0.4191 | 0.4116 |
+| 0.8458        | 12.0  | 984  | 0.8471          | 0.3734 | 0.3640 |
+| 0.7365        | 13.0  | 1066 | 0.8078          | 0.3530 | 0.3439 |
+| 0.6204        | 14.0  | 1148 | 0.7618          | 0.3031 | 0.2874 |
+| 0.5913        | 15.0  | 1230 | 0.7372          | 0.2598 | 0.2382 |
+| 0.5217        | 16.0  | 1312 | 0.7219          | 0.2354 | 0.2149 |
+| 0.4866        | 17.0  | 1394 | 0.7125          | 0.2071 | 0.1836 |
+| 0.4735        | 18.0  | 1476 | 0.7071          | 0.1967 | 0.1742 |
+| 0.462         | 19.0  | 1558 | 0.6910          | 0.1910 | 0.1677 |
+| 0.458         | 20.0  | 1640 | 0.6845          | 0.1910 | 0.1682 |
+
+
+### 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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+version https://git-lfs.github.com/spec/v1
+oid sha256:b9bf0e6e073ce71a6a88d2de22cfbc9add9581952532111683dc54ed9dc0a027
+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