End of training
Browse files- README.md +79 -0
- config.json +118 -0
- model.safetensors +3 -0
- preprocessor_config.json +10 -0
- runs/May23_15-26-50_01d522903f81/events.out.tfevents.1716478015.01d522903f81.345.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +50 -0
- training_args.bin +3 -0
- vocab.json +34 -0
    	
        README.md
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            +
            ---
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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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            - wer
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            model-index:
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            - name: my_awesome_asr_mind_model
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              results:
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            +
              - task:
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                  name: Automatic Speech Recognition
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                  type: automatic-speech-recognition
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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: None
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                  args: en-US
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                metrics:
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                - name: Wer
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                  type: wer
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                  value: 1.0309278350515463
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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_asr_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: 42.2366
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            +
            - Wer: 1.0309
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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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            +
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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: 1e-05
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            +
            - train_batch_size: 4
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            +
            - eval_batch_size: 4
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            +
            - seed: 42
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            +
            - gradient_accumulation_steps: 2
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            +
            - total_train_batch_size: 8
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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: 5
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            +
            - training_steps: 5
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            - mixed_precision_training: Native AMP
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            +
             | 
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            +
            ### Training results
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            +
             | 
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            +
            | Training Loss | Epoch | Step | Validation Loss | Wer    |
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            +
            |:-------------:|:-----:|:----:|:---------------:|:------:|
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            | 39.6614       | 0.5   | 5    | 42.2366         | 1.0309 |
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            +
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            +
             | 
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            +
            ### Framework versions
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            +
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            - Transformers 4.41.0
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            +
            - Pytorch 2.3.0+cu121
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            +
            - Datasets 2.19.1
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            +
            - Tokenizers 0.19.1
         | 
    	
        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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                "Wav2Vec2ForCTC"
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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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                2,
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              "conv_stride": [
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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": "mean",
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            +
              "ctc_zero_infinity": false,
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            +
              "diversity_loss_weight": 0.1,
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            +
              "do_stable_layer_norm": false,
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            +
              "eos_token_id": 2,
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            +
              "feat_extract_activation": "gelu",
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              "feat_extract_norm": "group",
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              "feat_proj_dropout": 0.1,
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              "feat_quantizer_dropout": 0.0,
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            +
              "final_dropout": 0.0,
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            +
              "freeze_feat_extract_train": true,
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            +
              "hidden_act": "gelu",
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            +
              "hidden_dropout": 0.1,
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              "hidden_size": 768,
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| 59 | 
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              "initializer_range": 0.02,
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              "layerdrop": 0.0,
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              "mask_channel_length": 10,
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              "mask_channel_min_space": 1,
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              "mask_channel_other": 0.0,
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              "mask_channel_prob": 0.0,
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              "mask_time_selection": "static",
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              "model_type": "wav2vec2",
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              "no_mask_channel_overlap": false,
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              "num_adapter_layers": 3,
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              "num_attention_heads": 12,
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        model.safetensors
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        preprocessor_config.json
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        runs/May23_15-26-50_01d522903f81/events.out.tfevents.1716478015.01d522903f81.345.0
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        special_tokens_map.json
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        tokenizer_config.json
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            }
         | 
    	
        training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:7f9573a6caaec0fa66d8885262acc88602c71dad3706a24c1016b323772246a3
         | 
| 3 | 
            +
            size 5112
         | 
    	
        vocab.json
    ADDED
    
    | @@ -0,0 +1,34 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
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|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "'": 27,
         | 
| 3 | 
            +
              "</s>": 2,
         | 
| 4 | 
            +
              "<pad>": 0,
         | 
| 5 | 
            +
              "<s>": 1,
         | 
| 6 | 
            +
              "<unk>": 3,
         | 
| 7 | 
            +
              "A": 7,
         | 
| 8 | 
            +
              "B": 24,
         | 
| 9 | 
            +
              "C": 19,
         | 
| 10 | 
            +
              "D": 14,
         | 
| 11 | 
            +
              "E": 5,
         | 
| 12 | 
            +
              "F": 20,
         | 
| 13 | 
            +
              "G": 21,
         | 
| 14 | 
            +
              "H": 11,
         | 
| 15 | 
            +
              "I": 10,
         | 
| 16 | 
            +
              "J": 29,
         | 
| 17 | 
            +
              "K": 26,
         | 
| 18 | 
            +
              "L": 15,
         | 
| 19 | 
            +
              "M": 17,
         | 
| 20 | 
            +
              "N": 9,
         | 
| 21 | 
            +
              "O": 8,
         | 
| 22 | 
            +
              "P": 23,
         | 
| 23 | 
            +
              "Q": 30,
         | 
| 24 | 
            +
              "R": 13,
         | 
| 25 | 
            +
              "S": 12,
         | 
| 26 | 
            +
              "T": 6,
         | 
| 27 | 
            +
              "U": 16,
         | 
| 28 | 
            +
              "V": 25,
         | 
| 29 | 
            +
              "W": 18,
         | 
| 30 | 
            +
              "X": 28,
         | 
| 31 | 
            +
              "Y": 22,
         | 
| 32 | 
            +
              "Z": 31,
         | 
| 33 | 
            +
              "|": 4
         | 
| 34 | 
            +
            }
         | 
