End of training

README.md

@@ -1,201 +1,125 @@
 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- wer
+model-index:
+- name: JP-base-clean-0215
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.983
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- 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.
-
-- **Developed by:** [More Information Needed]
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-## Uses
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-## How to Get Started with the Model
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-## Training Details
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-### Training Data
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-### Training Procedure 
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-#### Training Hyperparameters
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-- **Hardware Type:** [More Information Needed]
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-## Technical Specifications [optional]
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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. -->
+
+# JP-base-clean-0215
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0988
+- Wer: 0.983
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 3125.0
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer   |
+|:-------------:|:-----:|:-----:|:---------------:|:-----:|
+| 5.5004        | 1.0   | 625   | 7.2647          | 1.0   |
+| 4.0716        | 2.0   | 1250  | 4.3871          | 1.0   |
+| 3.3302        | 3.0   | 1875  | 3.1038          | 1.0   |
+| 0.8423        | 4.0   | 2500  | 0.9833          | 0.998 |
+| 0.5152        | 5.0   | 3125  | 0.7318          | 0.996 |
+| 0.3984        | 6.0   | 3750  | 0.4784          | 0.996 |
+| 0.3481        | 7.0   | 4375  | 0.3688          | 0.994 |
+| 0.3149        | 8.0   | 5000  | 0.3821          | 0.994 |
+| 0.2852        | 9.0   | 5625  | 0.2320          | 0.992 |
+| 0.2576        | 10.0  | 6250  | 0.2887          | 0.991 |
+| 0.2423        | 11.0  | 6875  | 0.2071          | 0.991 |
+| 0.2278        | 12.0  | 7500  | 0.1700          | 0.989 |
+| 0.2104        | 13.0  | 8125  | 0.1553          | 0.991 |
+| 0.2016        | 14.0  | 8750  | 0.1500          | 0.988 |
+| 0.1967        | 15.0  | 9375  | 0.1357          | 0.985 |
+| 0.1838        | 16.0  | 10000 | 0.1615          | 0.988 |
+| 0.172         | 17.0  | 10625 | 0.1238          | 0.986 |
+| 0.1687        | 18.0  | 11250 | 0.1270          | 0.988 |
+| 0.1555        | 19.0  | 11875 | 0.1221          | 0.987 |
+| 0.1532        | 20.0  | 12500 | 0.1168          | 0.988 |
+| 0.1414        | 21.0  | 13125 | 0.1175          | 0.988 |
+| 0.1366        | 22.0  | 13750 | 0.1231          | 0.985 |
+| 0.1341        | 23.0  | 14375 | 0.1004          | 0.987 |
+| 0.1273        | 24.0  | 15000 | 0.1175          | 0.984 |
+| 0.1199        | 25.0  | 15625 | 0.1246          | 0.984 |
+| 0.1181        | 26.0  | 16250 | 0.1382          | 0.985 |
+| 0.1152        | 27.0  | 16875 | 0.1064          | 0.984 |
+| 0.1116        | 28.0  | 17500 | 0.1075          | 0.985 |
+| 0.1097        | 29.0  | 18125 | 0.1110          | 0.986 |
+| 0.1074        | 30.0  | 18750 | 0.1399          | 0.983 |
+| 0.0997        | 31.0  | 19375 | 0.1385          | 0.983 |
+| 0.0998        | 32.0  | 20000 | 0.1185          | 0.983 |
+| 0.0973        | 33.0  | 20625 | 0.1491          | 0.982 |
+| 0.0988        | 34.0  | 21250 | 0.1232          | 0.983 |
+| 0.0942        | 35.0  | 21875 | 0.1205          | 0.98  |
+| 0.0949        | 36.0  | 22500 | 0.1109          | 0.981 |
+| 0.0947        | 37.0  | 23125 | 0.1119          | 0.982 |
+| 0.0939        | 38.0  | 23750 | 0.1151          | 0.983 |
+| 0.0876        | 39.0  | 24375 | 0.1001          | 0.982 |
+| 0.0893        | 40.0  | 25000 | 0.0957          | 0.984 |
+| 0.0897        | 41.0  | 25625 | 0.0924          | 0.982 |
+| 0.0859        | 42.0  | 26250 | 0.0959          | 0.983 |
+| 0.0881        | 43.0  | 26875 | 0.0996          | 0.983 |
+| 0.0885        | 44.0  | 27500 | 0.0972          | 0.982 |
+| 0.0871        | 45.0  | 28125 | 0.0984          | 0.983 |
+| 0.0866        | 46.0  | 28750 | 0.0976          | 0.983 |
+| 0.0858        | 47.0  | 29375 | 0.0982          | 0.983 |
+| 0.0882        | 48.0  | 30000 | 0.0982          | 0.983 |
+| 0.0848        | 49.0  | 30625 | 0.0988          | 0.983 |
+| 0.0855        | 50.0  | 31250 | 0.0988          | 0.983 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,110 @@
+{
+  "_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": 0.0,
+  "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_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "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": 85,
+  "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": "4.37.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 88,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:49a9268edf1c69ccbe2feed130c6ae2b3b023b596f1f527f8160bd90feb057df
+size 377783384

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
+}

training_args.bin

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+size 4728