Initial commit of wav2vec2 model
Browse files- README.md +63 -0
- added_tokens.json +4 -0
- checkpoint-3600/config.json +116 -0
- checkpoint-3600/model.safetensors +3 -0
- checkpoint-3600/optimizer.pt +3 -0
- checkpoint-3600/preprocessor_config.json +9 -0
- checkpoint-3600/rng_state.pth +3 -0
- checkpoint-3600/scaler.pt +3 -0
- checkpoint-3600/scheduler.pt +3 -0
- checkpoint-3600/trainer_state.json +1122 -0
- checkpoint-3600/training_args.bin +3 -0
- checkpoint-4000/config.json +116 -0
- checkpoint-4000/model.safetensors +3 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/preprocessor_config.json +9 -0
- checkpoint-4000/rng_state.pth +3 -0
- checkpoint-4000/scaler.pt +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/trainer_state.json +1243 -0
- checkpoint-4000/training_args.bin +3 -0
- config.json +116 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/Feb18_22-23-26_893f794f09cc/events.out.tfevents.1739918097.893f794f09cc.31.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +48 -0
- training_args.bin +3 -0
- vocab.json +58 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-arabic
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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model-index:
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- name: wav2vec2-large-xlsr-ar
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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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# wav2vec2-large-xlsr-ar
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.8298
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- eval_wer: 0.6859
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- eval_runtime: 192.8428
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- eval_samples_per_second: 15.515
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- eval_steps_per_second: 1.939
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- epoch: 5.1217
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- step: 4000
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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added_tokens.json
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{
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"</s>": 57,
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"<s>": 56
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}
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checkpoint-3600/config.json
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{
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"_name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-arabic",
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"activation_dropout": 0.05,
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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": 256,
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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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],
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"conv_stride": [
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5,
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": true,
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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": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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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_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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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_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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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": 55,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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1,
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2,
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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": "4.49.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 58,
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"xvector_output_dim": 512
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}
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checkpoint-3600/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d774b699a30727eb33a5e7217da3e149f61b2d95b6bd7b5e736dc668157ca205
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size 1262045280
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checkpoint-3600/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ed6a832e72a245371d5398a7bd48dca9483460443752acdfa374b33280553c5
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size 2490635318
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checkpoint-3600/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": 0.0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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checkpoint-3600/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:771b93fdea688e3ab7e29159ff3cadf87094f642ead96ea353a019167376a1c7
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size 14244
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checkpoint-3600/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa16ed8883894544f2c7e1b4e8394eab28d70a7345c1739e0f82c96289b9ceee
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size 988
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checkpoint-3600/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0a13d8337e5762d7c6ad79cc94c41699eda28a00da0ddc051c003391dec30b3
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size 1064
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checkpoint-3600/trainer_state.json
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preprocessor_config.json
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@@ -0,0 +1,9 @@
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@@ -0,0 +1,6 @@
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ADDED
@@ -0,0 +1,48 @@
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