End of training

README.md

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+---
+language:
+- eng
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- '[finetuned_model, lj_speech11]'
+- generated_from_trainer
+datasets:
+- FYP/LJ-Speech1111LJ
+model-index:
+- name: SpeechT5 STT Wav2Vec2
+  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. -->
+
+# SpeechT5 STT Wav2Vec2
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the Lj-Speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 509.3571
+
+## 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: 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: 100
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 19536.3975    | 0.1376 | 50   | 8125.4639       |
+| 2673.9081     | 0.2751 | 100  | 909.8571        |
+| 1958.4278     | 0.4127 | 150  | 544.6085        |
+| 1268.7548     | 0.5502 | 200  | 555.2729        |
+| 1504.7081     | 0.6878 | 250  | 520.7637        |
+| 1322.1669     | 0.8253 | 300  | 572.5987        |
+| 1331.9734     | 0.9629 | 350  | 514.8672        |
+| 1149.1491     | 1.1004 | 400  | 525.9183        |
+| 1063.02       | 1.2380 | 450  | 511.6159        |
+| 1063.2695     | 1.3755 | 500  | 521.9377        |
+| 1037.6037     | 1.5131 | 550  | 511.7293        |
+| 1065.5638     | 1.6506 | 600  | 510.2425        |
+| 1025.7576     | 1.7882 | 650  | 506.2704        |
+| 1132.412      | 1.9257 | 700  | 525.5427        |
+| 1033.8723     | 2.0633 | 750  | 506.9381        |
+| 1027.0328     | 2.2008 | 800  | 513.5829        |
+| 1024.9632     | 2.3384 | 850  | 518.4105        |
+| 1023.1637     | 2.4759 | 900  | 515.6079        |
+| 1006.7498     | 2.6135 | 950  | 513.5686        |
+| 1026.8645     | 2.7510 | 1000 | 507.8027        |
+| 1026.9354     | 2.8886 | 1050 | 509.3571        |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "facebook/wav2vec2-base-960h",
+  "activation_dropout": 0.1,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "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": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 12,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:d84fee48c0b18002daa7ca6fe3f6300d2743e5717de5801a2d6039385ffd591d
+size 377611120

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

runs/Jun03_11-21-53_35b7665ef3f8/events.out.tfevents.1717413737.35b7665ef3f8.785.0

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+size 21332

training_args.bin

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