End of training
Browse files- README.md +3 -12
- config.json +2 -2
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: facebook/wav2vec2-xls-r-300m
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datasets:
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model-index:
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- name: wav2vec2-large-xls-r-300m-korean-g
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results: []
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# wav2vec2-large-xls-r-300m-korean-g
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.9772
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- Cer: 0.1921
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 4.6433 | 6.49 | 500 | 3.2068 | 0.8114 |
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| 0.9293 | 12.99 | 1000 | 0.9364 | 0.2254 |
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| 0.2504 | 19.48 | 1500 | 0.9958 | 0.2097 |
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| 0.1488 | 25.97 | 2000 | 0.9772 | 0.1921 |
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### Framework versions
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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datasets:
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- make_dataset
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model-index:
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- name: wav2vec2-large-xls-r-300m-korean-g
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results: []
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# wav2vec2-large-xls-r-300m-korean-g
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the make_dataset dataset.
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## Model description
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### Training results
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### Framework versions
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config.json
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id":
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_weighted_layer_sum": false,
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"vocab_size":
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"xvector_output_dim": 512
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}
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 59,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_weighted_layer_sum": false,
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"vocab_size": 62,
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"xvector_output_dim": 512
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}
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model.safetensors
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training_args.bin
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