kurosekurose
commited on
Commit
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Parent(s):
65e9ac6
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-full
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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-full
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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: 1.2928
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- Accuracy: 0.8488
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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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| 1.2057 | 1.0 | 2248 | 1.4522 | 0.4502 |
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| 1.3873 | 2.0 | 4496 | 1.4503 | 0.6423 |
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| 1.4246 | 3.0 | 6744 | 1.6165 | 0.6673 |
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| 1.3335 | 4.0 | 8992 | 1.4786 | 0.7206 |
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| 1.251 | 5.0 | 11240 | 1.6414 | 0.6886 |
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| 1.1859 | 6.0 | 13488 | 1.3300 | 0.7544 |
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| 1.1132 | 7.0 | 15736 | 1.3665 | 0.7509 |
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| 1.0189 | 8.0 | 17984 | 1.6665 | 0.7153 |
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| 0.9807 | 9.0 | 20232 | 1.1175 | 0.7794 |
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| 0.8786 | 10.0 | 22480 | 1.1786 | 0.7883 |
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| 0.8677 | 11.0 | 24728 | 1.1295 | 0.7811 |
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| 0.7554 | 12.0 | 26976 | 1.1185 | 0.8185 |
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| 0.7196 | 13.0 | 29224 | 1.4067 | 0.7847 |
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| 0.692 | 14.0 | 31472 | 1.1175 | 0.8203 |
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| 0.6276 | 15.0 | 33720 | 1.4490 | 0.7883 |
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| 0.6083 | 16.0 | 35968 | 1.0983 | 0.8345 |
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| 0.5204 | 17.0 | 38216 | 1.1814 | 0.8256 |
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| 0.5197 | 18.0 | 40464 | 1.2945 | 0.8167 |
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| 0.488 | 19.0 | 42712 | 1.4494 | 0.8025 |
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| 0.4714 | 20.0 | 44960 | 1.3499 | 0.8114 |
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| 0.3641 | 21.0 | 47208 | 1.2525 | 0.8381 |
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| 0.3877 | 22.0 | 49456 | 1.2610 | 0.8381 |
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| 0.3253 | 23.0 | 51704 | 1.3913 | 0.8274 |
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| 0.2978 | 24.0 | 53952 | 1.2990 | 0.8416 |
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| 0.3238 | 25.0 | 56200 | 1.4328 | 0.8274 |
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| 0.2669 | 26.0 | 58448 | 1.3079 | 0.8327 |
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| 0.2521 | 27.0 | 60696 | 1.3250 | 0.8399 |
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| 0.2632 | 28.0 | 62944 | 1.3357 | 0.8416 |
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| 0.2655 | 29.0 | 65192 | 1.2957 | 0.8434 |
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| 0.2379 | 30.0 | 67440 | 1.2928 | 0.8488 |
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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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2,
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2,
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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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1,
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2,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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1500
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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 sha256:1622cb85667a6e765fab471293519adb31ebe992efb8e926f1be915b5ba3d20e
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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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}
|
runs/Oct07_11-54-25_ip-172-16-72-75.ap-northeast-1.compute.internal/events.out.tfevents.1728302194.ip-172-16-72-75.ap-northeast-1.compute.internal
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b38f8cb310f8cb2dd0d607096a867437293db07744f7c413bc8185130dbaab37
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+
size 23272
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trainer_state.json
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