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: hubert_new
+ 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. -->
+
+# hubert_new
+
+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: 0.0652
+- Wer: 0.0332
+- Cer: 0.0321
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 32.501 | 1.0 | 26 | 30.2361 | 1.4946 | 1.4799 |
+| 18.4587 | 2.0 | 52 | 10.7837 | 1.0 | 1.0 |
+| 7.9821 | 3.0 | 78 | 4.0872 | 1.0 | 1.0 |
+| 4.0414 | 4.0 | 104 | 3.4348 | 1.0 | 1.0 |
+| 3.3351 | 5.0 | 130 | 3.2570 | 1.0 | 1.0 |
+| 3.2641 | 6.0 | 156 | 3.2289 | 1.0 | 1.0 |
+| 3.2492 | 7.0 | 182 | 3.1934 | 1.0 | 1.0 |
+| 3.2815 | 8.0 | 208 | 3.1768 | 1.0 | 1.0 |
+| 3.1516 | 9.0 | 234 | 3.1230 | 1.0 | 1.0 |
+| 3.1305 | 10.0 | 260 | 3.0061 | 1.0 | 1.0 |
+| 2.9981 | 11.0 | 286 | 2.8843 | 1.0 | 1.0 |
+| 2.6928 | 12.0 | 312 | 2.4900 | 1.0 | 1.0 |
+| 2.3977 | 13.0 | 338 | 2.0772 | 0.9470 | 0.9594 |
+| 1.9738 | 14.0 | 364 | 1.5876 | 0.7353 | 0.7459 |
+| 1.2899 | 15.0 | 390 | 0.9695 | 0.5152 | 0.5217 |
+| 0.9936 | 16.0 | 416 | 0.5316 | 0.2774 | 0.2768 |
+| 0.6417 | 17.0 | 442 | 0.2814 | 0.1217 | 0.1146 |
+| 0.4256 | 18.0 | 468 | 0.1658 | 0.0645 | 0.0623 |
+| 0.2974 | 19.0 | 494 | 0.1023 | 0.0435 | 0.0419 |
+| 0.1767 | 20.0 | 520 | 0.0652 | 0.0332 | 0.0321 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- 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": 37,
+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
+ "torch_dtype": "float32",
+ "transformers_version": "4.41.2",
+ "use_weighted_layer_sum": false,
+ "vocab_size": 40
+}

model.safetensors

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+oid sha256:5bc4d6214bed682e8eeb51163219f07b028b8e01c0d0c664c8a1b299ed56e587
+size 1261970648

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/Jun17_04-04-14_779a1fdd7b4b/events.out.tfevents.1718597125.779a1fdd7b4b.1243.0

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training_args.bin

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