kurosekurose
commited on
Commit
•
a747fb9
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Parent(s):
d9b7a09
End of training
Browse files
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base-960h
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-960h-EMOPIA-10sec
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-960h-EMOPIA-10sec
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5866
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- Accuracy: 0.6338
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.2014 | 1.0 | 807 | 1.1830 | 0.3662 |
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| 1.0915 | 2.0 | 1614 | 1.5120 | 0.3239 |
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| 1.1433 | 3.0 | 2421 | 1.5699 | 0.4085 |
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| 1.2819 | 4.0 | 3228 | 1.7372 | 0.4789 |
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| 1.2718 | 5.0 | 4035 | 2.2169 | 0.4648 |
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| 1.4535 | 6.0 | 4842 | 1.7296 | 0.5775 |
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| 1.3433 | 7.0 | 5649 | 2.2684 | 0.5493 |
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| 1.4086 | 8.0 | 6456 | 1.8599 | 0.6479 |
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| 1.3923 | 9.0 | 7263 | 1.9420 | 0.6197 |
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| 1.3353 | 10.0 | 8070 | 2.2150 | 0.5775 |
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| 1.367 | 11.0 | 8877 | 1.9826 | 0.6338 |
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| 1.1848 | 12.0 | 9684 | 1.9545 | 0.6479 |
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| 1.1355 | 13.0 | 10491 | 1.9864 | 0.6620 |
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| 1.1549 | 14.0 | 11298 | 1.9428 | 0.6338 |
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| 1.0505 | 15.0 | 12105 | 1.9101 | 0.6901 |
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| 1.0442 | 16.0 | 12912 | 2.1706 | 0.6479 |
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| 0.9922 | 17.0 | 13719 | 2.4620 | 0.6197 |
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| 0.8698 | 18.0 | 14526 | 2.1429 | 0.6620 |
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| 0.8202 | 19.0 | 15333 | 2.3725 | 0.6197 |
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| 0.8612 | 20.0 | 16140 | 2.1631 | 0.6620 |
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| 0.8197 | 21.0 | 16947 | 2.3932 | 0.6338 |
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| 0.7858 | 22.0 | 17754 | 2.2532 | 0.6479 |
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| 0.7717 | 23.0 | 18561 | 2.8132 | 0.5634 |
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| 0.6282 | 24.0 | 19368 | 2.5493 | 0.6197 |
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| 0.7394 | 25.0 | 20175 | 2.3195 | 0.6620 |
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| 0.5895 | 26.0 | 20982 | 2.4331 | 0.6620 |
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| 0.5854 | 27.0 | 21789 | 2.4281 | 0.6761 |
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| 0.6911 | 28.0 | 22596 | 2.4993 | 0.6620 |
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| 0.5502 | 29.0 | 23403 | 2.6458 | 0.6338 |
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| 0.584 | 30.0 | 24210 | 2.5866 | 0.6338 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.1+cu118
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-base-960h",
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"activation_dropout": 0.1,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForSpeechClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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],
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"ctc_loss_reduction": "sum",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.1,
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"finetuning_task": "facebook/wav2vec2-base-960h",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Q1",
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"1": "Q2",
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"2": "Q3",
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"3": "Q4"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Q1": 0,
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"Q2": 1,
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"Q3": 2,
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"Q4": 3
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 0,
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"pooling_mode": "mean",
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"problem_type": "single_label_classification",
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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],
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"tdnn_dim": [
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],
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"tdnn_kernel": [
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.45.1",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:482e8bab0f2e69d35326aea8975d70a939615ea331df1d691dc758af76f8bae8
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size 379887584
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Oct03_10-49-10_ip-172-16-42-38.ap-northeast-1.compute.internal/events.out.tfevents.1727952601.ip-172-16-42-38.ap-northeast-1.compute.internal
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba7aaee20e3a1415301a8852d603cef2a3b1349b03daa6fb7fe79a73e42f9ef9
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size 23127
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trainer_state.json
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