End of training

README.md

@@ -1,199 +1,103 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec-large-zh
+  results: []
 ---
 
-# Model Card for Model ID
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-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-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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+<!-- 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. -->
+
+# wav2vec-large-zh
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 14.5731
+- Wer: 1.0
+
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer |
+|:-------------:|:------:|:----:|:---------------:|:---:|
+| 121.3961      | 0.1039 | 100  | 124.9288        | 1.0 |
+| 123.4081      | 0.2078 | 200  | 123.6992        | 1.0 |
+| 107.9594      | 0.3117 | 300  | 93.1991         | 1.0 |
+| 88.687        | 0.4156 | 400  | 74.7901         | 1.0 |
+| 76.5985       | 0.5195 | 500  | 65.0490         | 1.0 |
+| 67.3284       | 0.6234 | 600  | 59.1068         | 1.0 |
+| 60.559        | 0.7273 | 700  | 54.5696         | 1.0 |
+| 57.6745       | 0.8312 | 800  | 50.8430         | 1.0 |
+| 52.8858       | 0.9351 | 900  | 47.6484         | 1.0 |
+| 47.363        | 1.0390 | 1000 | 44.8001         | 1.0 |
+| 47.1688       | 1.1429 | 1100 | 42.1867         | 1.0 |
+| 44.9003       | 1.2468 | 1200 | 39.8359         | 1.0 |
+| 41.8644       | 1.3506 | 1300 | 37.6657         | 1.0 |
+| 39.7981       | 1.4545 | 1400 | 35.5738         | 1.0 |
+| 36.9159       | 1.5584 | 1500 | 33.6546         | 1.0 |
+| 34.9118       | 1.6623 | 1600 | 31.8388         | 1.0 |
+| 33.5765       | 1.7662 | 1700 | 30.1401         | 1.0 |
+| 31.0713       | 1.8701 | 1800 | 28.5309         | 1.0 |
+| 30.3748       | 1.9740 | 1900 | 27.0503         | 1.0 |
+| 29.2488       | 2.0779 | 2000 | 25.6837         | 1.0 |
+| 26.2383       | 2.1818 | 2100 | 24.4220         | 1.0 |
+| 25.098        | 2.2857 | 2200 | 23.2505         | 1.0 |
+| 25.1944       | 2.3896 | 2300 | 22.1770         | 1.0 |
+| 24.8906       | 2.4935 | 2400 | 21.2028         | 1.0 |
+| 22.4045       | 2.5974 | 2500 | 20.3080         | 1.0 |
+| 20.9461       | 2.7013 | 2600 | 19.4800         | 1.0 |
+| 20.5321       | 2.8052 | 2700 | 18.7341         | 1.0 |
+| 19.8295       | 2.9091 | 2800 | 18.0642         | 1.0 |
+| 19.3534       | 3.0130 | 2900 | 17.4707         | 1.0 |
+| 18.5557       | 3.1169 | 3000 | 16.9370         | 1.0 |
+| 18.1417       | 3.2208 | 3100 | 16.4655         | 1.0 |
+| 17.497        | 3.3247 | 3200 | 16.0514         | 1.0 |
+| 16.9942       | 3.4286 | 3300 | 15.6962         | 1.0 |
+| 17.0943       | 3.5325 | 3400 | 15.3935         | 1.0 |
+| 16.4386       | 3.6364 | 3500 | 15.1432         | 1.0 |
+| 15.6441       | 3.7403 | 3600 | 14.9392         | 1.0 |
+| 16.0257       | 3.8442 | 3700 | 14.7813         | 1.0 |
+| 15.725        | 3.9481 | 3800 | 14.6680         | 1.0 |
+| 16.0983       | 4.0519 | 3900 | 14.5990         | 1.0 |
+| 15.3737       | 4.1558 | 4000 | 14.5731         | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,117 @@
+{
+  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
+  "activation_dropout": 0.0,
+  "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": 768,
+  "contrastive_logits_temperature": 0.1,
+  "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,
+  "diversity_loss_weight": 0.1,
+  "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_quantizer_dropout": 0.0,
+  "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": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "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": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 2263,
+  "proj_codevector_dim": 768,
+  "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": "4.44.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 2266,
+  "xvector_output_dim": 512
+}

model.safetensors

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+size 1271098104

preprocessor_config.json

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

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