jialicheng
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Commit
•
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +86 -0
- all_results.json +19 -0
- config.json +183 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- pred_logit_eval.npy +3 -0
- pred_logit_test.npy +3 -0
- pred_logit_train.npy +3 -0
- preprocessor_config.json +14 -0
- test_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +225 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- audio-classification
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- generated_from_trainer
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datasets:
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- superb
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metrics:
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- accuracy
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model-index:
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- name: superb_ks_42
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: superb
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type: superb
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config: ks
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split: validation
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args: ks
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9801412180052956
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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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# superb_ks_42
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the superb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1434
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- Accuracy: 0.9801
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 4
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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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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| 0.8486 | 1.0 | 1597 | 0.2380 | 0.9385 |
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| 0.0986 | 2.0 | 3194 | 0.1777 | 0.9598 |
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| 0.0773 | 3.0 | 4791 | 0.1249 | 0.9738 |
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| 0.0532 | 4.0 | 6388 | 0.1078 | 0.9782 |
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| 0.0472 | 5.0 | 7985 | 0.1258 | 0.9766 |
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| 0.0322 | 6.0 | 9582 | 0.1365 | 0.9772 |
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| 0.0258 | 7.0 | 11179 | 0.1338 | 0.9798 |
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| 0.0231 | 8.0 | 12776 | 0.1447 | 0.9796 |
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| 0.0171 | 9.0 | 14373 | 0.1435 | 0.9797 |
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| 0.0142 | 10.0 | 15970 | 0.1434 | 0.9801 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9801412180052956,
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"eval_loss": 0.14339740574359894,
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"eval_runtime": 25.5075,
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"eval_samples_per_second": 266.51,
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"eval_steps_per_second": 1.059,
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"test_accuracy": 0.9425511197663097,
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"test_loss": 0.35165315866470337,
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"test_runtime": 16.1313,
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"test_samples_per_second": 190.995,
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"test_steps_per_second": 0.806,
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"total_flos": 5.6903389435008e+18,
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"train_accuracy": 0.9971816651661644,
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"train_loss": 0.009092943742871284,
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"train_runtime": 118.8228,
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"train_samples_per_second": 430.002,
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"train_steps_per_second": 107.505
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}
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config.json
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{
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"_name_or_path": "openai/whisper-tiny",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"architectures": [
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"WhisperForAudioClassification"
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],
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"attention_dropout": 0.0,
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"begin_suppress_tokens": [
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"classifier_proj_size": 256,
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"d_model": 384,
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"decoder_attention_heads": 6,
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"decoder_ffn_dim": 1536,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 4,
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"decoder_start_token_id": 50258,
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"dropout": 0.0,
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"encoder_attention_heads": 6,
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"encoder_ffn_dim": 1536,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 4,
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"eos_token_id": 50257,
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"finetuning_task": "audio-classification",
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"forced_decoder_ids": [
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]
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],
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"id2label": {
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"0": "yes",
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"1": "no",
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"10": "_silence_",
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"11": "_unknown_",
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"2": "up",
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"3": "down",
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"4": "left",
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"5": "right",
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"6": "on",
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"7": "off",
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"8": "stop",
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"9": "go"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"_silence_": "10",
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"_unknown_": "11",
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"down": "3",
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"go": "9",
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"left": "4",
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"no": "1",
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"off": "7",
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"on": "6",
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"right": "5",
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"stop": "8",
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"up": "2",
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"yes": "0"
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},
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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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"max_length": 448,
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"max_source_positions": 1500,
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"max_target_positions": 448,
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"median_filter_width": 7,
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"model_type": "whisper",
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"num_hidden_layers": 4,
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"num_mel_bins": 80,
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"scale_embedding": false,
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9801412180052956,
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4 |
+
"eval_loss": 0.14339740574359894,
|
5 |
+
"eval_runtime": 25.5075,
|
6 |
+
"eval_samples_per_second": 266.51,
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"eval_steps_per_second": 1.059
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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 sha256:3c086863c912b31cc9c131b86767909c602ac015e739a312ea613fba40dc67a0
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size 33247448
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pred_logit_eval.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:aefafe3da4ef4fcff4ec4f263f97deffd0141b159979d057295dea08f4c1575d
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size 326432
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pred_logit_test.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:5332a4400c78ff7066be6eb5200f74d446913ad2ac75ce803aef28da62f89464
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size 148016
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pred_logit_train.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b7d7f26ba2c46ecedccdde45f4596e104bc624bf4c50ffe8f32f8b8600e84d3
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size 2452640
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preprocessor_config.json
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