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results2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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End of training

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Files changed (6) hide show
  1. README.md +0 -10
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/May20_15-38-34_instance-til-team-31/events.out.tfevents.1716219518.instance-til-team-31 +3 -0
  5. runs/May20_15-56-29_instance-til-team-31/events.out.tfevents.1716220592.instance-til-team-31 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-base-960h
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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: results2
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  results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # results2
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  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 4.6150
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- - Wer: 1.0
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  ## Model description
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@@ -49,11 +44,6 @@ The following hyperparameters were used during training:
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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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- | 4.2143 | 10.0 | 500 | 4.6721 | 1.0 |
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- | 4.2775 | 20.0 | 1000 | 4.6638 | 1.0 |
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- | 4.2309 | 30.0 | 1500 | 4.6150 | 1.0 |
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  ### Framework versions
 
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  base_model: facebook/wav2vec2-base-960h
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: results2
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  results: []
 
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  # results2
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  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
 
 
 
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  ## Model description
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  ### Training results
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  ### Framework versions
config.json CHANGED
@@ -79,7 +79,7 @@
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  "num_hidden_layers": 12,
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  "num_negatives": 100,
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  "output_hidden_size": 768,
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- "pad_token_id": 30,
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  "proj_codevector_dim": 256,
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  "tdnn_dilation": [
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  1,
 
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  "num_hidden_layers": 12,
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  "num_negatives": 100,
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  "output_hidden_size": 768,
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+ "pad_token_id": 28,
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  "proj_codevector_dim": 256,
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  "tdnn_dilation": [
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  1,
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