End of training
Browse files- README.md +81 -0
- config.json +109 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- trainer_state.json +348 -0
- training_args.bin +3 -0
README.md
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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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metrics:
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- wer
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model-index:
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- name: wav2vec_arabic_mdd
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec_arabic_mdd
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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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It achieves the following results on the evaluation set:
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- Loss: 0.3264
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- Wer: 0.0417
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- Per: 0.0321
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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| 8.2138 | 1.0 | 1617 | 3.1149 | 1.0 | 1.0 |
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| 1.1507 | 2.0 | 3234 | 0.3763 | 0.0733 | 0.0570 |
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| 0.2 | 3.0 | 4851 | 0.3199 | 0.0634 | 0.0493 |
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| 0.1328 | 4.0 | 6468 | 0.3447 | 0.0530 | 0.0399 |
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| 0.1045 | 5.0 | 8085 | 0.3005 | 0.0514 | 0.0401 |
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| 0.088 | 6.0 | 9702 | 0.3276 | 0.0517 | 0.0391 |
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| 0.0756 | 7.0 | 11319 | 0.3367 | 0.0512 | 0.0388 |
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| 0.062 | 8.0 | 12936 | 0.3933 | 0.0572 | 0.0422 |
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| 0.0603 | 9.0 | 14553 | 0.3331 | 0.0475 | 0.0359 |
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| 0.0517 | 10.0 | 16170 | 0.3014 | 0.0500 | 0.0372 |
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| 0.046 | 11.0 | 17787 | 0.3067 | 0.0477 | 0.0360 |
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| 0.0398 | 12.0 | 19404 | 0.2990 | 0.0456 | 0.0348 |
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| 0.0329 | 13.0 | 21021 | 0.3064 | 0.0450 | 0.0342 |
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| 0.0319 | 14.0 | 22638 | 0.3336 | 0.0499 | 0.0383 |
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| 0.0288 | 15.0 | 24255 | 0.3222 | 0.0451 | 0.0358 |
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| 0.0258 | 16.0 | 25872 | 0.3302 | 0.0428 | 0.0324 |
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| 0.0181 | 17.0 | 27489 | 0.3408 | 0.0433 | 0.0334 |
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| 0.0172 | 18.0 | 29106 | 0.3216 | 0.0430 | 0.0331 |
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| 0.0145 | 19.0 | 30723 | 0.3254 | 0.0430 | 0.0329 |
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| 0.0127 | 20.0 | 32340 | 0.3264 | 0.0417 | 0.0321 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.075,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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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": 37,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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3,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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5,
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3,
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3,
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1,
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"use_weighted_layer_sum": false,
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"vocab_size": 40,
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"xvector_output_dim": 512
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:29fe62faf88173276e1072187f5f576f7c13533622f9219344bfbaa4171491a9
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size 1262066346
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trainer_state.json
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{
|
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"best_metric": 0.29899266362190247,
|
3 |
+
"best_model_checkpoint": "nrshoudi/wav2vec_arabic_mdd/checkpoint-19404",
|
4 |
+
"epoch": 20.0,
|
5 |
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"eval_steps": 500,
|
6 |
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"global_step": 32340,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
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"is_world_process_zero": true,
|
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"log_history": [
|
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{
|
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"epoch": 1.0,
|
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"learning_rate": 5e-05,
|
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"loss": 8.2138,
|
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"step": 1617
|
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},
|
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{
|
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"epoch": 1.0,
|
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"eval_loss": 3.1148788928985596,
|
20 |
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"eval_per": 1.0,
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