Instructions to use yacoubagbane/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yacoubagbane/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yacoubagbane/checkpoints")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yacoubagbane/checkpoints") model = AutoModelForCTC.from_pretrained("yacoubagbane/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
yacoubagbane/wav2vec2-base-timit-dyula_koumankan_new_regex_UNIV
Browse files- README.md +64 -0
- added_tokens.json +4 -0
- config.json +118 -0
- model.safetensors +3 -0
- processor_config.json +12 -0
- tokenizer_config.json +56 -0
- training_args.bin +3 -0
- vocab.json +63 -0
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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metrics:
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- wer
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model-index:
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- name: checkpoints
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# checkpoints
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0888
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- Wer: 1.0
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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: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_steps: 500
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- num_epochs: 1
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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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|:-------------:|:------:|:----:|:---------------:|:---:|
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| 5.5545 | 0.7962 | 500 | 3.0675 | 1.0 |
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| 5.5545 | 1.0 | 628 | 3.0888 | 1.0 |
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### Framework versions
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- Transformers 5.13.1
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- Pytorch 2.11.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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added_tokens.json
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{
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"</s>": 62,
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"<s>": 61
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}
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config.json
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{
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"activation_dropout": 0.0,
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| 3 |
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"adapter_attn_dim": null,
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| 4 |
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"adapter_kernel_size": 3,
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| 5 |
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"adapter_stride": 2,
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| 6 |
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"add_adapter": false,
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| 7 |
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"apply_spec_augment": true,
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| 8 |
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"architectures": [
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"Wav2Vec2ForCTC"
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+
],
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| 11 |
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"attention_dropout": 0.1,
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| 12 |
+
"bos_token_id": 1,
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| 13 |
+
"classifier_proj_size": 256,
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| 14 |
+
"codevector_dim": 256,
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| 15 |
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"contrastive_logits_temperature": 0.1,
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| 16 |
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"conv_bias": false,
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| 17 |
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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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| 23 |
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512,
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| 24 |
+
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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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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| 34 |
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],
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| 35 |
+
"conv_stride": [
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5,
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2,
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2,
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| 39 |
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2,
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| 40 |
+
2,
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| 41 |
+
2,
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| 42 |
+
2
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| 43 |
+
],
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| 44 |
+
"ctc_loss_reduction": "mean",
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| 45 |
+
"ctc_zero_infinity": false,
|
| 46 |
+
"diversity_loss_weight": 0.1,
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| 47 |
+
"do_stable_layer_norm": false,
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| 48 |
+
"dtype": "float32",
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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,
|
| 53 |
+
"feat_quantizer_dropout": 0.0,
|
| 54 |
+
"final_dropout": 0.0,
|
| 55 |
+
"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 |
+
"initializer_range": 0.02,
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| 60 |
+
"intermediate_size": 3072,
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| 61 |
+
"layer_norm_eps": 1e-05,
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| 62 |
+
"layerdrop": 0.0,
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| 63 |
+
"mask_channel_length": 10,
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| 64 |
+
"mask_channel_min_space": 1,
|
| 65 |
+
"mask_channel_other": 0.0,
|
| 66 |
+
"mask_channel_prob": 0.0,
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| 67 |
+
"mask_channel_selection": "static",
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| 68 |
+
"mask_feature_length": 10,
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| 69 |
+
"mask_feature_min_masks": 0,
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| 70 |
+
"mask_feature_prob": 0.0,
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| 71 |
+
"mask_time_length": 10,
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| 72 |
+
"mask_time_min_masks": 2,
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| 73 |
+
"mask_time_min_space": 1,
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| 74 |
+
"mask_time_other": 0.0,
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| 75 |
+
"mask_time_prob": 0.05,
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| 76 |
+
"mask_time_selection": "static",
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| 77 |
+
"model_type": "wav2vec2",
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| 78 |
+
"no_mask_channel_overlap": false,
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| 79 |
+
"no_mask_time_overlap": false,
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| 80 |
+
"num_adapter_layers": 3,
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| 81 |
+
"num_attention_heads": 12,
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| 82 |
+
"num_codevector_groups": 2,
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| 83 |
+
"num_codevectors_per_group": 320,
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| 84 |
+
"num_conv_pos_embedding_groups": 16,
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| 85 |
+
"num_conv_pos_embeddings": 128,
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| 86 |
+
"num_feat_extract_layers": 7,
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| 87 |
+
"num_hidden_layers": 12,
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| 88 |
+
"num_negatives": 100,
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| 89 |
+
"output_hidden_size": 768,
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| 90 |
+
"pad_token_id": 60,
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| 91 |
+
"proj_codevector_dim": 256,
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| 92 |
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"tdnn_dilation": [
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1,
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2,
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3,
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| 96 |
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1,
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1
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],
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| 99 |
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"tdnn_dim": [
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512,
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512,
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| 102 |
+
512,
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| 103 |
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512,
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| 104 |
+
1500
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| 105 |
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],
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| 106 |
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"tdnn_kernel": [
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5,
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| 108 |
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3,
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| 109 |
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3,
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| 110 |
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1,
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| 111 |
+
1
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| 112 |
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],
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| 113 |
+
"transformers_version": "5.13.1",
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| 114 |
+
"use_cache": false,
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| 115 |
+
"use_weighted_layer_sum": false,
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| 116 |
+
"vocab_size": 63,
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| 117 |
+
"xvector_output_dim": 512
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| 118 |
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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 sha256:91449ad1fefaf988f99b3f304fd3006eece12d9cee02e4433604ed63018dea6c
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| 3 |
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size 377706428
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processor_config.json
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{
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"feature_extractor": {
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| 3 |
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"do_normalize": true,
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| 4 |
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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| 5 |
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"feature_size": 1,
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| 6 |
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"padding_side": "right",
|
| 7 |
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"padding_value": 0.0,
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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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},
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| 11 |
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"processor_class": "Wav2Vec2Processor"
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| 12 |
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}
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tokenizer_config.json
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{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
|
| 4 |
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"content": "|",
|
| 5 |
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"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
|
| 10 |
+
},
|
| 11 |
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"59": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": true,
|
| 14 |
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"normalized": false,
|
| 15 |
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"rstrip": true,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": false
|
| 18 |
+
},
|
| 19 |
+
"60": {
|
| 20 |
+
"content": "[PAD]",
|
| 21 |
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"lstrip": true,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": true,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": false
|
| 26 |
+
},
|
| 27 |
+
"61": {
|
| 28 |
+
"content": "<s>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"62": {
|
| 36 |
+
"content": "</s>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"backend": "custom",
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"do_lower_case": false,
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
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"processor_class": "Wav2Vec2Processor",
|
| 51 |
+
"replace_word_delimiter_char": " ",
|
| 52 |
+
"target_lang": null,
|
| 53 |
+
"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
| 54 |
+
"unk_token": "[UNK]",
|
| 55 |
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"word_delimiter_token": "|"
|
| 56 |
+
}
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training_args.bin
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 sha256:242a04ae456ad4850aac2a8e50449d20f804c339c972c064ddc9cceb01e93178
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| 3 |
+
size 5137
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vocab.json
ADDED
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| 1 |
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{
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| 2 |
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"!": 1,
|
| 3 |
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"'": 2,
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| 4 |
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",": 3,
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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"[PAD]": 60,
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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"ɲ": 57,
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| 62 |
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"́": 58
|
| 63 |
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}
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