updating the repo with the fine-tuned model
Browse files- README.md +104 -0
- added_tokens.json +4 -0
- all_results.json +14 -0
- alphabet.json +1 -0
- config.json +108 -0
- eval_results.json +9 -0
- language_model/attrs.json +1 -0
- language_model/unigrams.txt +0 -0
- language_model/uwb_atcc_4g.binary +0 -0
- log/train_log +0 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +11 -0
- train_results.json +8 -0
- trainer_state.json +625 -0
- training_args.bin +3 -0
- vocab.json +31 -0
README.md
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| 1 |
+
---
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+
license: apache-2.0
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tags:
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- automatic-speech-recognition
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- experiments/data/atcosim_corpus/train
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- generated_from_trainer
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metrics:
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- wer
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| 9 |
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model-index:
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- name: 0.0ld_0.05ad_0.05attd_0.0fpd_0.03mtp_10mtl_0.0mfp_10mfl
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results: []
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---
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| 13 |
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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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# 0.0ld_0.05ad_0.05attd_0.0fpd_0.03mtp_10mtl_0.0mfp_10mfl
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the EXPERIMENTS/DATA/ATCOSIM_CORPUS/TRAIN - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0850
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- Wer: 0.0167
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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: 0.0005
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 96
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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_steps: 500
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- training_steps: 20000
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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 | Wer |
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| 56 |
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|:-------------:|:------:|:-----:|:---------------:|:------:|
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| 57 |
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| 1.4757 | 6.41 | 500 | 0.0614 | 0.0347 |
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| 58 |
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| 0.0624 | 12.82 | 1000 | 0.0525 | 0.0277 |
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| 0.0388 | 19.23 | 1500 | 0.0693 | 0.0241 |
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| 0.03 | 25.64 | 2000 | 0.0666 | 0.0244 |
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| 0.0235 | 32.05 | 2500 | 0.0604 | 0.0260 |
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| 0.0226 | 38.46 | 3000 | 0.0625 | 0.0230 |
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| 0.0163 | 44.87 | 3500 | 0.0603 | 0.0195 |
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| 0.0157 | 51.28 | 4000 | 0.0628 | 0.0209 |
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| 0.0152 | 57.69 | 4500 | 0.0692 | 0.0238 |
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| 0.0122 | 64.1 | 5000 | 0.0607 | 0.0210 |
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| 0.011 | 70.51 | 5500 | 0.0608 | 0.0213 |
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| 0.0114 | 76.92 | 6000 | 0.0681 | 0.0211 |
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| 0.0106 | 83.33 | 6500 | 0.0613 | 0.0210 |
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| 0.0081 | 89.74 | 7000 | 0.0654 | 0.0196 |
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| 0.0078 | 96.15 | 7500 | 0.0612 | 0.0191 |
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| 0.0082 | 102.56 | 8000 | 0.0758 | 0.0237 |
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| 0.0078 | 108.97 | 8500 | 0.0664 | 0.0206 |
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| 0.0075 | 115.38 | 9000 | 0.0658 | 0.0197 |
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| 0.0052 | 121.79 | 9500 | 0.0669 | 0.0218 |
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| 0.0054 | 128.21 | 10000 | 0.0695 | 0.0211 |
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| 0.0053 | 134.62 | 10500 | 0.0726 | 0.0227 |
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| 0.0046 | 141.03 | 11000 | 0.0702 | 0.0212 |
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| 0.0043 | 147.44 | 11500 | 0.0846 | 0.0200 |
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| 0.0041 | 153.85 | 12000 | 0.0764 | 0.0200 |
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| 0.0032 | 160.26 | 12500 | 0.0785 | 0.0201 |
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| 0.0028 | 166.67 | 13000 | 0.0839 | 0.0197 |
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| 0.0035 | 173.08 | 13500 | 0.0785 | 0.0210 |
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| 0.0027 | 179.49 | 14000 | 0.0730 | 0.0188 |
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| 0.002 | 185.9 | 14500 | 0.0794 | 0.0193 |
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| 0.002 | 192.31 | 15000 | 0.0859 | 0.0211 |
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| 0.0019 | 198.72 | 15500 | 0.0727 | 0.0183 |
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| 0.0017 | 205.13 | 16000 | 0.0784 | 0.0187 |
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| 0.0016 | 211.54 | 16500 | 0.0801 | 0.0196 |
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| 0.0014 | 217.95 | 17000 | 0.0821 | 0.0185 |
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| 0.0011 | 224.36 | 17500 | 0.0822 | 0.0176 |
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| 92 |
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| 0.001 | 230.77 | 18000 | 0.0856 | 0.0171 |
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| 0.001 | 237.18 | 18500 | 0.0792 | 0.0176 |
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| 0.001 | 243.59 | 19000 | 0.0826 | 0.0173 |
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| 0.0006 | 250.0 | 19500 | 0.0854 | 0.0170 |
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| 0.0007 | 256.41 | 20000 | 0.0850 | 0.0167 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0+cu117
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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added_tokens.json
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{
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"</s>": 30,
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"<s>": 29
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}
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all_results.json
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{
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"epoch": 256.41,
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| 3 |
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"eval_loss": 0.08499366790056229,
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| 4 |
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"eval_runtime": 68.056,
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| 5 |
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"eval_samples": 1857,
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| 6 |
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"eval_samples_per_second": 27.286,
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| 7 |
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"eval_steps_per_second": 1.146,
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| 8 |
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"eval_wer": 0.016747895436420027,
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| 9 |
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"train_loss": 0.04605116495639086,
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| 10 |
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"train_runtime": 87629.7749,
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| 11 |
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"train_samples": 7480,
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| 12 |
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"train_samples_per_second": 21.91,
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"train_steps_per_second": 0.228
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}
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alphabet.json
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{"labels": [" ", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u2047", "", "<s>", "</s>"], "is_bpe": false}
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config.json
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{
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| 2 |
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"_name_or_path": "facebook/wav2vec2-large-960h-lv60-self",
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| 3 |
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"activation_dropout": 0.05,
|
| 4 |
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"adapter_kernel_size": 3,
|
| 5 |
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"adapter_stride": 2,
|
| 6 |
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"add_adapter": false,
|
| 7 |
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"apply_spec_augment": true,
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| 8 |
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"architectures": [
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| 9 |
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"Wav2Vec2ForCTC"
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| 10 |
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],
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| 11 |
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"attention_dropout": 0.05,
|
| 12 |
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"bos_token_id": 1,
|
| 13 |
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"classifier_proj_size": 256,
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| 14 |
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"codevector_dim": 256,
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| 15 |
+
"contrastive_logits_temperature": 0.1,
|
| 16 |
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"conv_bias": true,
|
| 17 |
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"conv_dim": [
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| 18 |
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512,
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| 19 |
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512,
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| 20 |
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512,
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| 21 |
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512,
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| 22 |
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512,
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| 23 |
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512,
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| 24 |
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512
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| 25 |
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],
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| 26 |
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"conv_kernel": [
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| 27 |
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10,
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| 28 |
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3,
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| 29 |
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3,
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| 30 |
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3,
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| 31 |
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3,
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| 32 |
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2,
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| 33 |
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2
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| 34 |
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],
|
| 35 |
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"conv_stride": [
|
| 36 |
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5,
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| 37 |
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2,
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| 38 |
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2,
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| 39 |
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2,
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| 40 |
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2,
|
| 41 |
+
2,
|
| 42 |
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2
|
| 43 |
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],
|
| 44 |
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"ctc_loss_reduction": "mean",
|
| 45 |
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"ctc_zero_infinity": true,
|
| 46 |
+
"diversity_loss_weight": 0.1,
|
| 47 |
+
"do_stable_layer_norm": true,
|
| 48 |
+
"eos_token_id": 2,
|
| 49 |
+
"feat_extract_activation": "gelu",
|
| 50 |
+
"feat_extract_dropout": 0.0,
|
| 51 |
+
"feat_extract_norm": "layer",
|
| 52 |
+
"feat_proj_dropout": 0.0,
|
| 53 |
+
"feat_quantizer_dropout": 0.0,
|
| 54 |
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"final_dropout": 0.0,
|
| 55 |
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"hidden_act": "gelu",
|
| 56 |
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"hidden_dropout": 0.0,
|
| 57 |
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"hidden_dropout_prob": 0.1,
|
| 58 |
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"hidden_size": 1024,
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| 59 |
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"initializer_range": 0.02,
|
| 60 |
+
"intermediate_size": 4096,
|
| 61 |
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"layer_norm_eps": 1e-05,
|
| 62 |
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"layerdrop": 0.0,
|
| 63 |
+
"mask_feature_length": 10,
|
| 64 |
+
"mask_feature_min_masks": 0,
|
| 65 |
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"mask_feature_prob": 0.0,
|
| 66 |
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"mask_time_length": 10,
|
| 67 |
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"mask_time_min_masks": 2,
|
| 68 |
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"mask_time_prob": 0.03,
|
| 69 |
+
"model_type": "wav2vec2",
|
| 70 |
+
"num_adapter_layers": 3,
|
| 71 |
+
"num_attention_heads": 16,
|
| 72 |
+
"num_codevector_groups": 2,
|
| 73 |
+
"num_codevectors_per_group": 320,
|
| 74 |
+
"num_conv_pos_embedding_groups": 16,
|
| 75 |
+
"num_conv_pos_embeddings": 128,
|
| 76 |
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"num_feat_extract_layers": 7,
|
| 77 |
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"num_hidden_layers": 24,
|
| 78 |
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"num_negatives": 100,
|
| 79 |
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"output_hidden_size": 1024,
|
| 80 |
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"pad_token_id": 28,
|
| 81 |
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"proj_codevector_dim": 256,
|
| 82 |
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"tdnn_dilation": [
|
| 83 |
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1,
|
| 84 |
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2,
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| 85 |
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3,
|
| 86 |
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1,
|
| 87 |
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1
|
| 88 |
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],
|
| 89 |
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"tdnn_dim": [
|
| 90 |
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512,
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| 91 |
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512,
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| 92 |
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512,
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| 93 |
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512,
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| 94 |
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1500
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| 95 |
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],
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| 96 |
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"tdnn_kernel": [
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| 97 |
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5,
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| 98 |
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3,
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| 99 |
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3,
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| 100 |
+
1,
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| 101 |
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1
|
| 102 |
+
],
|
| 103 |
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"torch_dtype": "float32",
|
| 104 |
+
"transformers_version": "4.24.0",
|
| 105 |
+
"use_weighted_layer_sum": false,
|
| 106 |
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"vocab_size": 31,
|
| 107 |
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"xvector_output_dim": 512
|
| 108 |
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}
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eval_results.json
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{
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| 2 |
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"epoch": 256.41,
|
| 3 |
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"eval_loss": 0.08499366790056229,
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| 4 |
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"eval_runtime": 68.056,
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| 5 |
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"eval_samples": 1857,
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| 6 |
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"eval_samples_per_second": 27.286,
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| 7 |
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"eval_steps_per_second": 1.146,
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| 8 |
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"eval_wer": 0.016747895436420027
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| 9 |
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}
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language_model/attrs.json
ADDED
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@@ -0,0 +1 @@
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{"alpha": 0.5, "beta": 1.5, "unk_score_offset": -10.0, "score_boundary": true}
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language_model/unigrams.txt
ADDED
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File without changes
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language_model/uwb_atcc_4g.binary
ADDED
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Binary file (971 kB). View file
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log/train_log
ADDED
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The diff for this file is too large to render.
See raw diff
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preprocessor_config.json
ADDED
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@@ -0,0 +1,10 @@
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{
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"do_normalize": true,
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+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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| 4 |
+
"feature_size": 1,
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| 5 |
+
"padding_side": "right",
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| 6 |
+
"padding_value": 0.0,
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| 7 |
+
"processor_class": "Wav2Vec2ProcessorWithLM",
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| 8 |
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"return_attention_mask": true,
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| 9 |
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"sampling_rate": 16000
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| 10 |
+
}
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pytorch_model.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:00fdd2e05a507cf026273f5ca019562cfe832e4c62d2e1c959ccd53a56e59e0e
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| 3 |
+
size 1262028973
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special_tokens_map.json
ADDED
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@@ -0,0 +1,6 @@
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{
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| 2 |
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"bos_token": "<s>",
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| 3 |
+
"eos_token": "</s>",
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| 4 |
+
"pad_token": "[PAD]",
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| 5 |
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"unk_token": "[UNK]"
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| 6 |
+
}
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tokenizer_config.json
ADDED
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@@ -0,0 +1,11 @@
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+
{
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| 2 |
+
"bos_token": "<s>",
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| 3 |
+
"do_lower_case": false,
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| 4 |
+
"eos_token": "</s>",
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| 5 |
+
"pad_token": "[PAD]",
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| 6 |
+
"processor_class": "Wav2Vec2ProcessorWithLM",
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| 7 |
+
"replace_word_delimiter_char": " ",
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| 8 |
+
"tokenizer_class": "Wav2Vec2CTCTokenizer",
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| 9 |
+
"unk_token": "[UNK]",
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| 10 |
+
"word_delimiter_token": "|"
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| 11 |
+
}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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| 2 |
+
"epoch": 256.41,
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| 3 |
+
"train_loss": 0.04605116495639086,
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| 4 |
+
"train_runtime": 87629.7749,
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| 5 |
+
"train_samples": 7480,
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| 6 |
+
"train_samples_per_second": 21.91,
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| 7 |
+
"train_steps_per_second": 0.228
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| 8 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,625 @@
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|
| 1 |
+
{
|
| 2 |
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"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 256.4102564102564,
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| 5 |
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"global_step": 20000,
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| 6 |
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"is_hyper_param_search": false,
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| 7 |
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"is_local_process_zero": true,
|
| 8 |
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"is_world_process_zero": true,
|
| 9 |
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"log_history": [
|
| 10 |
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{
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| 11 |
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"epoch": 6.41,
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| 12 |
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"learning_rate": 0.000499,
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| 13 |
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"loss": 1.4757,
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| 14 |
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"step": 500
|
| 15 |
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},
|
| 16 |
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{
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| 17 |
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"epoch": 6.41,
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| 18 |
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"eval_loss": 0.061434268951416016,
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| 19 |
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"eval_runtime": 68.9385,
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| 20 |
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"eval_samples_per_second": 26.937,
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| 21 |
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"eval_steps_per_second": 1.131,
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| 22 |
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"eval_wer": 0.03469206911829863,
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| 23 |
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"step": 500
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| 24 |
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},
|
| 25 |
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{
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| 26 |
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"epoch": 12.82,
|
| 27 |
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"learning_rate": 0.0004872051282051282,
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| 28 |
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"loss": 0.0624,
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| 29 |
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"step": 1000
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| 30 |
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| 31 |
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{
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| 32 |
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"epoch": 12.82,
|
| 33 |
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"eval_loss": 0.05250529572367668,
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| 34 |
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"eval_runtime": 68.4693,
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| 35 |
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"eval_samples_per_second": 27.122,
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| 36 |
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"eval_steps_per_second": 1.139,
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| 37 |
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"eval_wer": 0.027735932653965442,
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| 38 |
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"step": 1000
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| 39 |
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| 40 |
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{
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| 41 |
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"epoch": 19.23,
|
| 42 |
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"learning_rate": 0.0004743846153846154,
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| 43 |
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"loss": 0.0388,
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| 44 |
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"step": 1500
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| 45 |
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|
| 46 |
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{
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