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
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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. -->
+
+# 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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