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Browse files- README.md +78 -0
- added_tokens.json +4 -0
- all_results.json +22 -0
- checkpoint-6000/added_tokens.json +4 -0
- checkpoint-6000/config.json +117 -0
- checkpoint-6000/optimizer.pt +3 -0
- checkpoint-6000/preprocessor_config.json +10 -0
- checkpoint-6000/pytorch_model.bin +3 -0
- checkpoint-6000/rng_state_0.pth +3 -0
- checkpoint-6000/rng_state_1.pth +3 -0
- checkpoint-6000/rng_state_2.pth +3 -0
- checkpoint-6000/rng_state_3.pth +3 -0
- checkpoint-6000/scheduler.pt +3 -0
- checkpoint-6000/special_tokens_map.json +30 -0
- checkpoint-6000/tokenizer_config.json +51 -0
- checkpoint-6000/trainer_state.json +479 -0
- checkpoint-6000/training_args.bin +3 -0
- checkpoint-6000/vocab.json +33 -0
- config.json +117 -0
- eval_results.json +10 -0
- predict_results.json +9 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer_config.json +51 -0
- train_results.json +8 -0
- trainer_state.json +512 -0
- training_args.bin +3 -0
- vocab.json +33 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- automatic-speech-recognition
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- ./sample_speech.py
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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: en-xlsr
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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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# en-xlsr
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the ./SAMPLE_SPEECH.PY - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5574
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- Cer: 0.0835
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- Wer: 0.1854
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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: 0.01
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 0.6992 | 2.79 | 600 | 0.4981 | 0.1370 | 0.3376 |
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| 0.3394 | 5.58 | 1200 | 0.3934 | 0.1057 | 0.2467 |
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| 0.2376 | 8.37 | 1800 | 0.4123 | 0.1015 | 0.2356 |
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| 0.1877 | 11.16 | 2400 | 0.4269 | 0.0928 | 0.2136 |
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| 0.1494 | 13.95 | 3000 | 0.4648 | 0.0922 | 0.2102 |
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| 0.1186 | 16.74 | 3600 | 0.4835 | 0.0919 | 0.2058 |
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| 0.0966 | 19.53 | 4200 | 0.4986 | 0.0875 | 0.1978 |
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| 0.083 | 22.33 | 4800 | 0.5179 | 0.0862 | 0.1927 |
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| 0.071 | 25.12 | 5400 | 0.5539 | 0.0857 | 0.1908 |
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| 0.0648 | 27.91 | 6000 | 0.5583 | 0.0844 | 0.1870 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"</s>": 32,
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"<s>": 31
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}
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all_results.json
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{
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"epoch": 30.0,
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"eval_cer": 0.0835270292039675,
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"eval_loss": 0.5573986172676086,
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"eval_runtime": 22.2886,
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"eval_samples": 1738,
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"eval_samples_per_second": 77.977,
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"eval_steps_per_second": 4.89,
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"eval_wer": 0.1853669294811711,
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"predict_cer": 0.08437524931900295,
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"predict_loss": 0.5953414440155029,
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"predict_runtime": 22.9108,
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"predict_samples": 1744,
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"predict_samples_per_second": 76.121,
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"predict_steps_per_second": 4.758,
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"predict_wer": 0.19078335975509758,
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"train_loss": 0.3642665664539781,
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"train_runtime": 8377.9265,
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"train_samples": 13754,
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"train_samples_per_second": 49.251,
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"train_steps_per_second": 0.77
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}
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checkpoint-6000/added_tokens.json
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{
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"</s>": 32,
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"<s>": 31
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}
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checkpoint-6000/config.json
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{
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"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
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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": 0.0125,
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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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"conv_kernel": [
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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": 0.0125,
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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": 0.0125,
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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": 0.0125,
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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_min_masks": 0,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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}
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checkpoint-6000/optimizer.pt
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checkpoint-6000/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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checkpoint-6000/pytorch_model.bin
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checkpoint-6000/rng_state_0.pth
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checkpoint-6000/special_tokens_map.json
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eval_results.json
ADDED
@@ -0,0 +1,10 @@
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predict_results.json
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@@ -0,0 +1,9 @@
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preprocessor_config.json
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@@ -0,0 +1,10 @@
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1262037674
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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tokenizer_config.json
ADDED
@@ -0,0 +1,51 @@
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{
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|
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train_results.json
ADDED
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trainer_state.json
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