samitizerxu
commited on
Commit
•
eee07e6
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Parent(s):
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Added model files
Browse files- README.md +70 -0
- added_tokens.json +1 -0
- all_results.json +14 -0
- checkpoint-3450/config.json +107 -0
- checkpoint-3450/optimizer.pt +3 -0
- checkpoint-3450/preprocessor_config.json +9 -0
- checkpoint-3450/pytorch_model.bin +3 -0
- checkpoint-3450/rng_state.pth +3 -0
- checkpoint-3450/scaler.pt +3 -0
- checkpoint-3450/scheduler.pt +3 -0
- checkpoint-3450/trainer_state.json +106 -0
- checkpoint-3450/training_args.bin +3 -0
- config.json +2 -2
- eval_results.json +9 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +2 -2
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +130 -0
- training_args.bin +3 -0
- vocab.json +1 -0
README.md
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---
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language:
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- es
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- common_voice
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-cls-r-300m-es
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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-cls-r-300m-es
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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 the COMMON_VOICE - ES dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5160
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- Wer: 0.4016
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.1277 | 1.14 | 500 | 2.0259 | 0.9999 |
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| 1.4111 | 2.28 | 1000 | 1.1251 | 0.8894 |
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| 0.8461 | 3.42 | 1500 | 0.8205 | 0.7244 |
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| 0.5042 | 4.57 | 2000 | 0.6116 | 0.5463 |
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| 0.3072 | 5.71 | 2500 | 0.5507 | 0.4506 |
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| 0.2181 | 6.85 | 3000 | 0.5213 | 0.4177 |
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| 0.1608 | 7.99 | 3500 | 0.5161 | 0.4019 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2.dev0
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- Tokenizers 0.11.0
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added_tokens.json
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{"<s>": 68, "</s>": 69}
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all_results.json
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{
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"epoch": 8.0,
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"eval_loss": 0.5159734487533569,
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"eval_runtime": 175.5351,
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"eval_samples": 3500,
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"eval_samples_per_second": 19.939,
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"eval_steps_per_second": 2.495,
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"eval_wer": 0.4015755133948706,
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"train_loss": 0.9386324367770865,
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"train_runtime": 4216.4813,
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"train_samples": 7000,
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"train_samples_per_second": 13.281,
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"train_steps_per_second": 0.831
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}
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checkpoint-3450/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_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": 0.0,
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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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],
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"conv_kernel": [
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10,
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3,
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2,
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],
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"conv_stride": [
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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": 0.0,
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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": 0.0,
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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": 0.0,
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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": 0.05,
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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": 67,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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"tdnn_dim": [
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.17.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 70,
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"xvector_output_dim": 512
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}
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checkpoint-3450/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:43266183f86e759c109db8d25ef69db7700d7c0c9a89a1d78ff11dda197374f5
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size 2490632977
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checkpoint-3450/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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checkpoint-3450/pytorch_model.bin
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checkpoint-3450/rng_state.pth
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checkpoint-3450/scaler.pt
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checkpoint-3450/trainer_state.json
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