End of training

README.md

@@ -1,199 +1,85 @@
 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+base_model: rinna/japanese-wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-kanji-base-char-0916
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-
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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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tokudai-nishimura-lab/Emoto-ASR-training-log/runs/nc3r560f)
+# wav2vec2-kanji-base-char-0916
+
+This model is a fine-tuned version of [rinna/japanese-wav2vec2-base](https://huggingface.co/rinna/japanese-wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0080
+- Cer: 0.3084
+- Wer: 0.999
+
+## 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-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 77380
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Cer    | Wer   |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:-----:|
+| 3.5786        | 1.0   | 19348  | 3.4423          | 0.5827 | 1.0   |
+| 1.5754        | 2.0   | 38696  | 2.3013          | 0.5027 | 1.0   |
+| 1.2976        | 3.0   | 58044  | 2.1926          | 0.4518 | 1.0   |
+| 1.1784        | 4.0   | 77392  | 1.8865          | 0.4352 | 1.0   |
+| 1.1072        | 5.0   | 96740  | 1.8018          | 0.4392 | 1.0   |
+| 1.0466        | 6.0   | 116088 | 1.5333          | 0.4289 | 1.0   |
+| 0.9887        | 7.0   | 135436 | 1.4297          | 0.4036 | 1.0   |
+| 0.9497        | 8.0   | 154784 | 1.5539          | 0.4024 | 1.0   |
+| 0.9075        | 9.0   | 174132 | 1.6214          | 0.4160 | 1.0   |
+| 0.8721        | 10.0  | 193480 | 1.3556          | 0.3964 | 1.0   |
+| 0.8398        | 11.0  | 212828 | 1.1912          | 0.3772 | 1.0   |
+| 0.8069        | 12.0  | 232176 | 1.1510          | 0.3529 | 0.999 |
+| 0.7788        | 13.0  | 251524 | 1.0752          | 0.3399 | 0.999 |
+| 0.7477        | 14.0  | 270872 | 1.0926          | 0.3373 | 0.999 |
+| 0.7198        | 15.0  | 290220 | 0.9936          | 0.3101 | 0.999 |
+| 0.7028        | 16.0  | 309568 | 1.0239          | 0.3123 | 0.999 |
+| 0.6806        | 17.0  | 328916 | 1.0006          | 0.3081 | 0.999 |
+| 0.6733        | 18.0  | 348264 | 1.0348          | 0.3156 | 0.999 |
+| 0.6709        | 19.0  | 367612 | 1.0075          | 0.3086 | 0.999 |
+| 0.6651        | 20.0  | 386960 | 1.0080          | 0.3084 | 0.999 |
+
+
+### Framework versions
+
+- Transformers 4.42.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,107 @@
+{
+  "_name_or_path": "rinna/japanese-wav2vec2-base",
+  "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": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout": 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": 3877,
+  "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": "4.42.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 3882,
+  "xvector_output_dim": 512
+}

model.safetensors

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+size 389453776

preprocessor_config.json

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

training_args.bin

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