End of training
Browse files- README.md +88 -88
- config.json +150 -150
- model.safetensors +1 -1
- preprocessor_config.json +9 -9
- training_args.bin +2 -2
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
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tags:
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- generated_from_trainer
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datasets:
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- minds14
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metrics:
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- accuracy
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model-index:
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- name: my_awesome_mind_model
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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: minds14
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type: minds14
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config: en-US
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split: train
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args: en-US
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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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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-
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# my_awesome_mind_model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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-
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## Model description
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-
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-
More information needed
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## Intended uses & limitations
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-
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-
More information needed
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-
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## Training and evaluation data
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-
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-
More information needed
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-
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-
## Training procedure
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-
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### Training hyperparameters
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-
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Use
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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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-
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### Training results
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-
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 3 | 2.
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| No log | 1.8 | 6 | 2.
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| No log | 2.8 | 9 | 2.
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### Framework versions
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-
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- Transformers 4.47.
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- Pytorch 2.5.1+
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- Datasets 3.
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-
- Tokenizers 0.21.0
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---
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+
library_name: transformers
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| 3 |
+
license: apache-2.0
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| 4 |
+
base_model: facebook/wav2vec2-base
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| 5 |
+
tags:
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| 6 |
+
- generated_from_trainer
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| 7 |
+
datasets:
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| 8 |
+
- minds14
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| 9 |
+
metrics:
|
| 10 |
+
- accuracy
|
| 11 |
+
model-index:
|
| 12 |
+
- name: my_awesome_mind_model
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| 13 |
+
results:
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| 14 |
+
- task:
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| 15 |
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name: Audio Classification
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+
type: audio-classification
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+
dataset:
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+
name: minds14
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+
type: minds14
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+
config: en-US
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+
split: train
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args: en-US
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+
metrics:
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+
- name: Accuracy
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+
type: accuracy
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+
value: 0.07079646017699115
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+
---
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| 28 |
+
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| 29 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 30 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 31 |
+
|
| 32 |
+
# my_awesome_mind_model
|
| 33 |
+
|
| 34 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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| 35 |
+
It achieves the following results on the evaluation set:
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| 36 |
+
- Loss: 2.6697
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| 37 |
+
- Accuracy: 0.0708
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+
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+
## Model description
|
| 40 |
+
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+
More information needed
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| 42 |
+
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+
## Intended uses & limitations
|
| 44 |
+
|
| 45 |
+
More information needed
|
| 46 |
+
|
| 47 |
+
## Training and evaluation data
|
| 48 |
+
|
| 49 |
+
More information needed
|
| 50 |
+
|
| 51 |
+
## Training procedure
|
| 52 |
+
|
| 53 |
+
### Training hyperparameters
|
| 54 |
+
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+
The following hyperparameters were used during training:
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+
- learning_rate: 3e-05
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+
- train_batch_size: 32
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+
- eval_batch_size: 32
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+
- seed: 42
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+
- gradient_accumulation_steps: 4
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+
- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+
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+
### Training results
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+
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+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
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+
| No log | 0.8 | 3 | 2.6652 | 0.0619 |
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| No log | 1.8 | 6 | 2.6617 | 0.0354 |
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| No log | 2.8 | 9 | 2.6576 | 0.0885 |
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| 3.0013 | 3.8 | 12 | 2.6612 | 0.0708 |
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| 3.0013 | 4.8 | 15 | 2.6654 | 0.0796 |
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| 3.0013 | 5.8 | 18 | 2.6665 | 0.0708 |
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| 2.9902 | 6.8 | 21 | 2.6668 | 0.0619 |
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| 2.9902 | 7.8 | 24 | 2.6682 | 0.0708 |
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| 2.9902 | 8.8 | 27 | 2.6687 | 0.0708 |
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| 2.9787 | 9.8 | 30 | 2.6697 | 0.0708 |
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+
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+
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### Framework versions
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+
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+
- Transformers 4.47.0
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+
- Pytorch 2.5.1+cpu
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- Datasets 3.1.1.dev0
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| 88 |
+
- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-base",
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-
"activation_dropout": 0.0,
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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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"Wav2Vec2ForSequenceClassification"
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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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| 47 |
-
"diversity_loss_weight": 0.1,
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| 48 |
-
"do_stable_layer_norm": false,
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| 49 |
-
"eos_token_id": 2,
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| 50 |
-
"feat_extract_activation": "gelu",
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| 51 |
-
"feat_extract_norm": "group",
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| 52 |
-
"feat_proj_dropout": 0.1,
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| 53 |
-
"feat_quantizer_dropout": 0.0,
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| 54 |
-
"final_dropout": 0.0,
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-
"freeze_feat_extract_train": true,
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| 56 |
-
"hidden_act": "gelu",
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| 57 |
-
"hidden_dropout": 0.1,
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| 58 |
-
"hidden_size": 768,
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| 59 |
-
"id2label": {
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-
"0": "abroad",
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-
"1": "address",
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-
"10": "high_value_payment",
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-
"11": "joint_account",
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-
"12": "latest_transactions",
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| 65 |
-
"13": "pay_bill",
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-
"2": "app_error",
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-
"3": "atm_limit",
|
| 68 |
-
"4": "balance",
|
| 69 |
-
"5": "business_loan",
|
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-
"6": "card_issues",
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| 71 |
-
"7": "cash_deposit",
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-
"8": "direct_debit",
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| 73 |
-
"9": "freeze"
|
| 74 |
-
},
|
| 75 |
-
"initializer_range": 0.02,
|
| 76 |
-
"intermediate_size": 3072,
|
| 77 |
-
"label2id": {
|
| 78 |
-
"abroad": "0",
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| 79 |
-
"address": "1",
|
| 80 |
-
"app_error": "2",
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| 81 |
-
"atm_limit": "3",
|
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-
"balance": "4",
|
| 83 |
-
"business_loan": "5",
|
| 84 |
-
"card_issues": "6",
|
| 85 |
-
"cash_deposit": "7",
|
| 86 |
-
"direct_debit": "8",
|
| 87 |
-
"freeze": "9",
|
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-
"high_value_payment": "10",
|
| 89 |
-
"joint_account": "11",
|
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-
"latest_transactions": "12",
|
| 91 |
-
"pay_bill": "13"
|
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-
},
|
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-
"layer_norm_eps": 1e-05,
|
| 94 |
-
"layerdrop": 0.0,
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| 95 |
-
"mask_channel_length": 10,
|
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-
"mask_channel_min_space": 1,
|
| 97 |
-
"mask_channel_other": 0.0,
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| 98 |
-
"mask_channel_prob": 0.0,
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| 99 |
-
"mask_channel_selection": "static",
|
| 100 |
-
"mask_feature_length": 10,
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| 101 |
-
"mask_feature_min_masks": 0,
|
| 102 |
-
"mask_feature_prob": 0.0,
|
| 103 |
-
"mask_time_length": 10,
|
| 104 |
-
"mask_time_min_masks": 2,
|
| 105 |
-
"mask_time_min_space": 1,
|
| 106 |
-
"mask_time_other": 0.0,
|
| 107 |
-
"mask_time_prob": 0.05,
|
| 108 |
-
"mask_time_selection": "static",
|
| 109 |
-
"model_type": "wav2vec2",
|
| 110 |
-
"no_mask_channel_overlap": false,
|
| 111 |
-
"no_mask_time_overlap": false,
|
| 112 |
-
"num_adapter_layers": 3,
|
| 113 |
-
"num_attention_heads": 12,
|
| 114 |
-
"num_codevector_groups": 2,
|
| 115 |
-
"num_codevectors_per_group": 320,
|
| 116 |
-
"num_conv_pos_embedding_groups": 16,
|
| 117 |
-
"num_conv_pos_embeddings": 128,
|
| 118 |
-
"num_feat_extract_layers": 7,
|
| 119 |
-
"num_hidden_layers": 12,
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| 120 |
-
"num_negatives": 100,
|
| 121 |
-
"output_hidden_size": 768,
|
| 122 |
-
"pad_token_id": 0,
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| 123 |
-
"proj_codevector_dim": 256,
|
| 124 |
-
"tdnn_dilation": [
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-
1,
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2,
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-
3,
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-
1,
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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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| 135 |
-
512,
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-
1500
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-
],
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-
"tdnn_kernel": [
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-
5,
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-
3,
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-
3,
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| 142 |
-
1,
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-
1
|
| 144 |
-
],
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-
"torch_dtype": "float32",
|
| 146 |
-
"transformers_version": "4.47.
|
| 147 |
-
"use_weighted_layer_sum": false,
|
| 148 |
-
"vocab_size": 32,
|
| 149 |
-
"xvector_output_dim": 512
|
| 150 |
-
}
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-base",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForSequenceClassification"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.1,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 256,
|
| 15 |
+
"codevector_dim": 256,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": false,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
512,
|
| 20 |
+
512,
|
| 21 |
+
512,
|
| 22 |
+
512,
|
| 23 |
+
512,
|
| 24 |
+
512,
|
| 25 |
+
512
|
| 26 |
+
],
|
| 27 |
+
"conv_kernel": [
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+
10,
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| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
3,
|
| 33 |
+
2,
|
| 34 |
+
2
|
| 35 |
+
],
|
| 36 |
+
"conv_stride": [
|
| 37 |
+
5,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"ctc_loss_reduction": "sum",
|
| 46 |
+
"ctc_zero_infinity": false,
|
| 47 |
+
"diversity_loss_weight": 0.1,
|
| 48 |
+
"do_stable_layer_norm": false,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_norm": "group",
|
| 52 |
+
"feat_proj_dropout": 0.1,
|
| 53 |
+
"feat_quantizer_dropout": 0.0,
|
| 54 |
+
"final_dropout": 0.0,
|
| 55 |
+
"freeze_feat_extract_train": true,
|
| 56 |
+
"hidden_act": "gelu",
|
| 57 |
+
"hidden_dropout": 0.1,
|
| 58 |
+
"hidden_size": 768,
|
| 59 |
+
"id2label": {
|
| 60 |
+
"0": "abroad",
|
| 61 |
+
"1": "address",
|
| 62 |
+
"10": "high_value_payment",
|
| 63 |
+
"11": "joint_account",
|
| 64 |
+
"12": "latest_transactions",
|
| 65 |
+
"13": "pay_bill",
|
| 66 |
+
"2": "app_error",
|
| 67 |
+
"3": "atm_limit",
|
| 68 |
+
"4": "balance",
|
| 69 |
+
"5": "business_loan",
|
| 70 |
+
"6": "card_issues",
|
| 71 |
+
"7": "cash_deposit",
|
| 72 |
+
"8": "direct_debit",
|
| 73 |
+
"9": "freeze"
|
| 74 |
+
},
|
| 75 |
+
"initializer_range": 0.02,
|
| 76 |
+
"intermediate_size": 3072,
|
| 77 |
+
"label2id": {
|
| 78 |
+
"abroad": "0",
|
| 79 |
+
"address": "1",
|
| 80 |
+
"app_error": "2",
|
| 81 |
+
"atm_limit": "3",
|
| 82 |
+
"balance": "4",
|
| 83 |
+
"business_loan": "5",
|
| 84 |
+
"card_issues": "6",
|
| 85 |
+
"cash_deposit": "7",
|
| 86 |
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|
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|
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|
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|
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|
| 111 |
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|
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|
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|
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
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model.safetensors
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preprocessor_config.json
CHANGED
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@@ -1,9 +1,9 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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training_args.bin
CHANGED
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@@ -1,3 +1,3 @@
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