End of training
Browse files- README.md +81 -0
- config.json +76 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- trainer_state.json +348 -0
- training_args.bin +3 -0
README.md
ADDED
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| 1 |
+
---
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+
license: apache-2.0
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+
base_model: facebook/hubert-large-ls960-ft
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tags:
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- generated_from_trainer
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metrics:
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| 7 |
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- wer
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| 8 |
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model-index:
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| 9 |
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- name: hubert-large-ls960-ft-V2
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results: []
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| 11 |
+
---
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| 12 |
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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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# hubert-large-ls960-ft-V2
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This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
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| 19 |
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It achieves the following results on the evaluation set:
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| 20 |
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- Loss: 0.3760
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| 21 |
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- Wer: 0.0445
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- Per: 0.0354
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## Model description
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More information needed
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## Intended uses & limitations
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| 29 |
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More information needed
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## Training and evaluation data
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| 33 |
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More information needed
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## Training procedure
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| 37 |
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 2
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| 43 |
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- eval_batch_size: 2
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| 44 |
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- seed: 42
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| 45 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 46 |
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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| 48 |
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- num_epochs: 20
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| 49 |
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### Training results
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| 51 |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
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| 53 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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| 54 |
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| 5.7632 | 1.0 | 1637 | 0.8273 | 0.3876 | 0.3794 |
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| 55 |
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| 0.374 | 2.0 | 3274 | 0.4468 | 0.0635 | 0.0493 |
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| 56 |
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| 0.1657 | 3.0 | 4911 | 0.3662 | 0.0596 | 0.0460 |
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| 57 |
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| 0.1179 | 4.0 | 6548 | 0.3809 | 0.0518 | 0.0401 |
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| 58 |
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| 0.0922 | 5.0 | 8185 | 0.4233 | 0.0519 | 0.0386 |
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| 59 |
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| 0.0763 | 6.0 | 9822 | 0.3852 | 0.0517 | 0.0390 |
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| 60 |
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| 0.0649 | 7.0 | 11459 | 0.3056 | 0.0487 | 0.0377 |
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| 61 |
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| 0.056 | 8.0 | 13096 | 0.3266 | 0.0460 | 0.0353 |
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| 62 |
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| 0.0467 | 9.0 | 14733 | 0.3608 | 0.0458 | 0.0346 |
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| 63 |
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| 0.04 | 10.0 | 16370 | 0.3399 | 0.0461 | 0.0355 |
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| 64 |
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| 0.0356 | 11.0 | 18007 | 0.3549 | 0.0441 | 0.0341 |
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| 65 |
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| 0.0336 | 12.0 | 19644 | 0.3391 | 0.0430 | 0.0332 |
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| 66 |
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| 0.0338 | 13.0 | 21281 | 0.3968 | 0.0482 | 0.0383 |
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| 67 |
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| 0.0278 | 14.0 | 22918 | 0.3699 | 0.0468 | 0.0376 |
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| 68 |
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| 0.0224 | 15.0 | 24555 | 0.3680 | 0.0458 | 0.0365 |
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| 69 |
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| 0.0225 | 16.0 | 26192 | 0.3713 | 0.0477 | 0.0392 |
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| 70 |
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| 0.0189 | 17.0 | 27829 | 0.3681 | 0.0442 | 0.0350 |
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| 71 |
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| 0.0185 | 18.0 | 29466 | 0.3829 | 0.0444 | 0.0352 |
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| 72 |
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| 0.018 | 19.0 | 31103 | 0.3866 | 0.0450 | 0.0354 |
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| 73 |
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| 0.0169 | 20.0 | 32740 | 0.3760 | 0.0445 | 0.0354 |
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| 74 |
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| 75 |
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| 76 |
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### Framework versions
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| 77 |
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- Transformers 4.35.2
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| 79 |
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- Pytorch 2.1.0+cu121
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| 80 |
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- Datasets 2.16.1
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| 81 |
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- Tokenizers 0.15.0
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config.json
ADDED
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| 1 |
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{
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| 2 |
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"_name_or_path": "facebook/hubert-large-ls960-ft",
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| 3 |
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"activation_dropout": 0.1,
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| 4 |
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"apply_spec_augment": true,
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| 5 |
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"architectures": [
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| 6 |
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"HubertForCTC"
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| 7 |
+
],
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| 8 |
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"attention_dropout": 0.1,
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| 9 |
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"bos_token_id": 1,
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| 10 |
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"classifier_proj_size": 256,
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| 11 |
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"conv_bias": true,
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| 12 |
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"conv_dim": [
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512,
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| 14 |
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512,
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| 15 |
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512,
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512,
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| 17 |
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512,
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| 18 |
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512,
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| 19 |
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512
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],
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| 21 |
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"conv_kernel": [
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| 22 |
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10,
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3,
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3,
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3,
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| 26 |
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3,
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| 27 |
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2,
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| 28 |
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2
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| 29 |
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],
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| 30 |
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"conv_stride": [
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5,
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2,
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| 33 |
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2,
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| 34 |
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2,
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| 35 |
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2,
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| 36 |
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2,
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| 37 |
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2
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| 38 |
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],
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| 39 |
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"ctc_loss_reduction": "mean",
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| 40 |
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"ctc_zero_infinity": false,
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| 41 |
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"diversity_loss_weight": 0.1,
|
| 42 |
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"do_stable_layer_norm": true,
|
| 43 |
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"eos_token_id": 2,
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| 44 |
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"feat_extract_activation": "gelu",
|
| 45 |
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"feat_extract_dropout": 0.0,
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| 46 |
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"feat_extract_norm": "layer",
|
| 47 |
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"feat_proj_dropout": 0.1,
|
| 48 |
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"feat_proj_layer_norm": true,
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| 49 |
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"final_dropout": 0.1,
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| 50 |
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"gradient_checkpointing": false,
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| 51 |
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"hidden_act": "gelu",
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| 52 |
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"hidden_dropout": 0.1,
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| 53 |
+
"hidden_dropout_prob": 0.1,
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| 54 |
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"hidden_size": 1024,
|
| 55 |
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"initializer_range": 0.02,
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| 56 |
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"intermediate_size": 4096,
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| 57 |
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"layer_norm_eps": 1e-05,
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| 58 |
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"layerdrop": 0.1,
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| 59 |
+
"mask_feature_length": 10,
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| 60 |
+
"mask_feature_min_masks": 0,
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| 61 |
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"mask_feature_prob": 0.0,
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| 62 |
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"mask_time_length": 10,
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| 63 |
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"mask_time_min_masks": 2,
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| 64 |
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"mask_time_prob": 0.05,
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| 65 |
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"model_type": "hubert",
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| 66 |
+
"num_attention_heads": 16,
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| 67 |
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"num_conv_pos_embedding_groups": 16,
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| 68 |
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"num_conv_pos_embeddings": 128,
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| 69 |
+
"num_feat_extract_layers": 7,
|
| 70 |
+
"num_hidden_layers": 24,
|
| 71 |
+
"pad_token_id": 37,
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| 72 |
+
"torch_dtype": "float32",
|
| 73 |
+
"transformers_version": "4.35.2",
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| 74 |
+
"use_weighted_layer_sum": false,
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| 75 |
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"vocab_size": 40
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| 76 |
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}
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model.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a250e3853ce2ae62d6aa5521de9e89b4afa9413d8362534f7ab912c3b1e20a49
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| 3 |
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size 1261970648
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preprocessor_config.json
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{
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| 2 |
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"do_normalize": true,
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| 3 |
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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| 4 |
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"feature_size": 1,
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| 5 |
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"padding_side": "right",
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| 6 |
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"padding_value": 0,
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| 7 |
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"processor_class": "Wav2Vec2Processor",
|
| 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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}
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trainer_state.json
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+
size 4600
|