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: speech_ocean_hubert_mdd
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- 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. -->
+
+# speech_ocean_hubert_mdd
+
+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: 2.3987
+- Wer: 0.5798
+- Cer: 0.6474
+
+## 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    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 94.265        | 0.9873  | 39   | 85.1429         | 0.9995 | 0.9840 |
+| 52.6364       | 2.0     | 79   | 32.7798         | 1.0    | 1.0    |
+| 27.2435       | 2.9873  | 118  | 14.8924         | 1.0    | 1.0    |
+| 10.122        | 4.0     | 158  | 7.1662          | 1.0    | 1.0    |
+| 5.6778        | 4.9873  | 197  | 5.3731          | 1.0    | 1.0    |
+| 5.3058        | 6.0     | 237  | 5.2800          | 1.0    | 1.0    |
+| 5.3233        | 6.9873  | 276  | 5.2647          | 1.0    | 1.0    |
+| 5.2846        | 8.0     | 316  | 5.2266          | 1.0    | 1.0    |
+| 5.2555        | 8.9873  | 355  | 5.1857          | 1.0    | 1.0    |
+| 5.172         | 10.0    | 395  | 5.1649          | 1.0    | 1.0    |
+| 5.1551        | 10.9873 | 434  | 5.0741          | 1.0    | 1.0    |
+| 5.1312        | 12.0    | 474  | 5.0101          | 1.0    | 1.0    |
+| 4.9727        | 12.9873 | 513  | 4.7469          | 1.0    | 1.0    |
+| 4.6317        | 14.0    | 553  | 4.3717          | 0.9541 | 0.9580 |
+| 4.1657        | 14.9873 | 592  | 3.8313          | 0.8953 | 0.9418 |
+| 3.7754        | 16.0    | 632  | 3.3712          | 0.8003 | 0.8418 |
+| 3.3744        | 16.9873 | 671  | 2.9940          | 0.7360 | 0.8192 |
+| 3.0452        | 18.0    | 711  | 2.6717          | 0.6829 | 0.7675 |
+| 2.7951        | 18.9873 | 750  | 2.4711          | 0.6175 | 0.6972 |
+| 2.7407        | 19.7468 | 780  | 2.3987          | 0.5798 | 0.6474 |
+
+
+### 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": 1257,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 1260
+}

model.safetensors

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+size 1266972656

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

runs/Apr28_01-49-51_8aa3ba9b3869/events.out.tfevents.1714269023.8aa3ba9b3869.3798.0

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training_args.bin

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