End of training
Browse files- README.md +75 -0
- trainer_state.json +3613 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: facebook/wav2vec2-xls-r-300m
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| 4 |
+
tags:
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| 5 |
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- generated_from_trainer
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| 6 |
+
metrics:
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| 7 |
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- wer
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| 8 |
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model-index:
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| 9 |
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- name: 1-epochs12.0-char-based-freeze_cnn-dropout0.1
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| 10 |
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results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
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| 16 |
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# 1-epochs12.0-char-based-freeze_cnn-dropout0.1
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| 17 |
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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 an unknown dataset.
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| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
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- Loss: nan
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| 21 |
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- Wer: 1.0
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| 22 |
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## Model description
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More information needed
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| 26 |
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## Intended uses & limitations
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| 28 |
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| 29 |
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More information needed
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| 30 |
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| 31 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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| 34 |
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## Training procedure
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| 36 |
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| 37 |
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### Training hyperparameters
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| 38 |
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 2e-05
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| 41 |
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- train_batch_size: 10
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| 42 |
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- eval_batch_size: 4
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| 43 |
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- seed: 42
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| 44 |
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- distributed_type: multi-GPU
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| 45 |
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- num_devices: 4
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| 46 |
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- total_train_batch_size: 40
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| 47 |
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- total_eval_batch_size: 16
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| 48 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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| 49 |
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 12.0
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| 52 |
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### Training results
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| 54 |
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:---:|
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| 3.6685 | 1.03 | 2500 | 4.0882 | 1.0 |
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| 58 |
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| 3.6718 | 2.06 | 5000 | 4.0882 | 1.0 |
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| 59 |
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| 3.6684 | 3.1 | 7500 | 4.0882 | 1.0 |
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| 60 |
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| 0.0 | 4.13 | 10000 | nan | 1.0 |
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| 61 |
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| 0.0 | 5.16 | 12500 | nan | 1.0 |
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| 62 |
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| 0.0 | 6.19 | 15000 | nan | 1.0 |
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| 63 |
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| 0.0 | 7.22 | 17500 | nan | 1.0 |
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| 64 |
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| 0.0 | 8.25 | 20000 | nan | 1.0 |
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| 65 |
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| 0.0 | 9.29 | 22500 | nan | 1.0 |
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| 66 |
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| 0.0 | 10.32 | 25000 | nan | 1.0 |
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| 67 |
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| 0.0 | 11.35 | 27500 | nan | 1.0 |
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| 69 |
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### Framework versions
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| 71 |
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- Transformers 4.34.0
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- Pytorch 2.0.1
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| 74 |
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- Datasets 2.14.5
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| 75 |
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- Tokenizers 0.14.1
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trainer_state.json
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@@ -0,0 +1,3613 @@
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