End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/hubert-large-ll60k
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: HuBERT_Jibbali_lang
+  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_Jibbali_lang
+
+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: 0.2017
+- Wer: 0.1944
+- Cet: 0.1189
+
+## 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    | Cet    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 10.6563       | 0.99  | 56   | 5.6577          | 1.0    | 0.9812 |
+| 3.3895        | 2.0   | 113  | 3.2018          | 1.0    | 0.9812 |
+| 3.1588        | 2.99  | 169  | 3.1347          | 1.0    | 0.9812 |
+| 3.1308        | 4.0   | 226  | 3.0567          | 1.0    | 0.9812 |
+| 2.8933        | 4.99  | 282  | 2.8226          | 1.0    | 0.9353 |
+| 2.5444        | 6.0   | 339  | 2.0947          | 1.0    | 0.8588 |
+| 0.995         | 6.99  | 395  | 0.5049          | 0.4974 | 0.1654 |
+| 0.3567        | 8.0   | 452  | 0.2622          | 0.2485 | 0.1132 |
+| 0.2914        | 8.99  | 508  | 0.1980          | 0.2105 | 0.0749 |
+| 0.14          | 10.0  | 565  | 0.2154          | 0.2069 | 0.0821 |
+| 0.1442        | 10.99 | 621  | 0.1965          | 0.1988 | 0.0969 |
+| 0.1401        | 12.0  | 678  | 0.2135          | 0.1937 | 0.0960 |
+| 0.1019        | 12.99 | 734  | 0.2185          | 0.1948 | 0.1094 |
+| 0.1088        | 14.0  | 791  | 0.1957          | 0.1966 | 0.1121 |
+| 0.1314        | 14.99 | 847  | 0.1983          | 0.1933 | 0.1019 |
+| 0.0522        | 16.0  | 904  | 0.2026          | 0.1944 | 0.1258 |
+| 0.126         | 16.99 | 960  | 0.2033          | 0.1944 | 0.1142 |
+| 0.1028        | 18.0  | 1017 | 0.1940          | 0.1974 | 0.1158 |
+| 0.0767        | 18.99 | 1073 | 0.1969          | 0.1948 | 0.1149 |
+| 0.0468        | 19.82 | 1120 | 0.2017          | 0.1944 | 0.1189 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_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": "4.35.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 40
+}

model.safetensors

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+oid sha256:cd1cda469afbc419b57dfd33335f194d56b91e0621b754b8e4e0a553ad35e4e4
+size 1261970648

preprocessor_config.json

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

runs/Feb17_14-38-37_96309f846a0a/events.out.tfevents.1708180755.96309f846a0a.1921.0

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training_args.bin

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