Duplicate from lucas-meyer/seq-xls-r-fleurs_nl-run2-asr_af-run6

.gitattributes

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.gitignore

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+checkpoint-*/

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: seq-xls-r-fleurs_nl-run2-asr_af-run6
+  results: []
+datasets:
+- lucas-meyer/asr_af
+---
+
+<!-- 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_nl-run2-asr_af-run6
+
+This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_nl-run2](https://huggingface.co/lucas-meyer/xls-r-fleurs_nl-run2) on asr_af.
+It achieves the following results:
+- Val WER: 0.3517
+- Test WER: 0.3749
+
+### 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 (Train)    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 7.4776        | 0.59  | 100  | 3.2848          | 1.0    |
+| 3.0414        | 1.17  | 200  | 2.9526          | 0.9998 |
+| 2.4266        | 1.76  | 300  | 1.4622          | 0.9233 |
+| 0.9817        | 2.35  | 400  | 0.6617          | 0.5501 |
+| 0.6079        | 2.93  | 500  | 0.5610          | 0.4919 |
+| 0.442         | 3.52  | 600  | 0.4928          | 0.4326 |
+| 0.3558        | 4.11  | 700  | 0.4437          | 0.3960 |
+| 0.274         | 4.69  | 800  | 0.4604          | 0.3875 |
+| 0.2558        | 5.28  | 900  | 0.4671          | 0.3984 |
+| 0.2169        | 5.87  | 1000 | 0.3875          | 0.3520 |
+| 0.1769        | 6.45  | 1100 | 0.4117          | 0.3546 |
+| 0.1724        | 7.04  | 1200 | 0.4498          | 0.3583 |
+| 0.1455        | 7.62  | 1300 | 0.4170          | 0.3475 |
+
+
+### 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_nl-run2",
+  "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,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "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",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
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+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
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+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "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,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
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+    512,
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+    512,
+    1500
+  ],
+  "tdnn_kernel": [
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+    1
+  ],
+  "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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+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

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special_tokens_map.json

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tokenizer_config.json

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