Duplicate from lucas-meyer/seq-xls-r-fleurs_zu-run3-asr_xh-run10

.gitattributes

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.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: seq-xls-r-fleurs_zu-run3-asr_xh-run10
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# seq-xls-r-fleurs_zu-run3-asr_xh-run10
+
+This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4363
+- Wer: 0.4998
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.4903        | 1.59  | 250  | 0.9489          | 0.7525 |
+| 0.6278        | 3.18  | 500  | 0.4877          | 0.6284 |
+| 0.3831        | 4.78  | 750  | 0.4181          | 0.5640 |
+| 0.2639        | 6.37  | 1000 | 0.3858          | 0.5018 |
+| 0.1961        | 7.96  | 1250 | 0.4228          | 0.4995 |
+| 0.1579        | 9.55  | 1500 | 0.4363          | 0.4998 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "lucas-meyer/xls-r-fleurs_zu-run3",
+  "activation_dropout": 0.0,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
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+    512,
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+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
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+  "feat_extract_norm": "layer",
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+  "layer_norm_eps": 1e-05,
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+  "mask_time_prob": 0.05,
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+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 53,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 54,
+  "xvector_output_dim": 512
+}

preprocessor_config.json

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+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

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