updating the repo with the fine-tuned model
Browse files- README.md +82 -0
- added_tokens.json +4 -0
- all_results.json +14 -0
- alphabet.json +1 -0
- config.json +107 -0
- eval_results.json +9 -0
- language_model/attrs.json +1 -0
- language_model/unigrams.txt +0 -0
- language_model/uwb_atcc_4g.binary +0 -0
- log/train_log +0 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +11 -0
- train_results.json +8 -0
- trainer_state.json +265 -0
- training_args.bin +3 -0
- vocab.json +31 -0
README.md
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---
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- experiments/data/uwb_atcc/train
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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: 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc
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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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# 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc
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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 EXPERIMENTS/DATA/UWB_ATCC/TRAIN - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8470
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- Wer: 0.1898
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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: 24
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- eval_batch_size: 12
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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_steps: 1000
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- training_steps: 10000
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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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| No log | 1.06 | 500 | 3.1697 | 1.0 |
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| 3.1489 | 2.12 | 1000 | 1.4184 | 0.5678 |
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| 3.1489 | 3.18 | 1500 | 0.8498 | 0.3366 |
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| 0.8499 | 4.25 | 2000 | 0.8089 | 0.2755 |
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| 0.8499 | 5.31 | 2500 | 0.7339 | 0.2963 |
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| 0.5901 | 6.37 | 3000 | 0.6376 | 0.2402 |
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| 0.5901 | 7.43 | 3500 | 0.6890 | 0.2336 |
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| 0.4724 | 8.49 | 4000 | 0.6844 | 0.2240 |
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| 0.4724 | 9.55 | 4500 | 0.6900 | 0.2222 |
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| 0.3981 | 10.62 | 5000 | 0.7051 | 0.2123 |
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| 0.3981 | 11.68 | 5500 | 0.6671 | 0.2095 |
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| 0.3436 | 12.74 | 6000 | 0.7425 | 0.2049 |
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| 0.3436 | 13.8 | 6500 | 0.7135 | 0.1994 |
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| 0.2925 | 14.86 | 7000 | 0.7350 | 0.2012 |
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| 0.2925 | 15.92 | 7500 | 0.7855 | 0.1945 |
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| 0.2525 | 16.99 | 8000 | 0.7933 | 0.1946 |
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| 0.2525 | 18.05 | 8500 | 0.8016 | 0.1915 |
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| 0.2285 | 19.11 | 9000 | 0.8284 | 0.1907 |
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| 0.2285 | 20.17 | 9500 | 0.8275 | 0.1902 |
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| 0.2025 | 21.23 | 10000 | 0.8470 | 0.1898 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0+cu117
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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added_tokens.json
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{
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"</s>": 30,
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"<s>": 29
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}
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all_results.json
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{
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"epoch": 21.23,
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"eval_loss": 0.84695965051651,
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"eval_runtime": 90.2768,
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"eval_samples": 2822,
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"eval_samples_per_second": 31.259,
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"eval_steps_per_second": 2.614,
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"eval_wer": 0.18976083707025412,
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"train_loss": 0.6778903991699219,
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"train_runtime": 11598.0436,
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"train_samples": 11291,
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"train_samples_per_second": 20.693,
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"train_steps_per_second": 0.862
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}
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alphabet.json
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{"labels": [" ", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u2047", "", "<s>", "</s>"], "is_bpe": false}
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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_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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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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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": 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": 0.05,
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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": 12,
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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": 12,
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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": 28,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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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": "4.24.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 31,
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"xvector_output_dim": 512
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}
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eval_results.json
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{
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"epoch": 21.23,
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"eval_loss": 0.84695965051651,
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"eval_runtime": 90.2768,
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"eval_samples": 2822,
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"eval_samples_per_second": 31.259,
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"eval_steps_per_second": 2.614,
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"eval_wer": 0.18976083707025412
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}
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language_model/attrs.json
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{"alpha": 0.5, "beta": 1.5, "unk_score_offset": -10.0, "score_boundary": true}
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language_model/unigrams.txt
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File without changes
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language_model/uwb_atcc_4g.binary
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Binary file (971 kB). View file
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log/train_log
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The diff for this file is too large to render.
See raw diff
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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": "Wav2Vec2ProcessorWithLM",
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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 sha256:845c59c44457c2c1fc9ff10df658c9cd1c8a4e1d577de922f373e90fb6378313
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size 1262028973
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"bos_token": "<s>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"processor_class": "Wav2Vec2ProcessorWithLM",
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"replace_word_delimiter_char": " ",
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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}
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train_results.json
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{
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"epoch": 21.23,
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"train_loss": 0.6778903991699219,
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"train_runtime": 11598.0436,
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"train_samples": 11291,
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"train_samples_per_second": 20.693,
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"train_steps_per_second": 0.862
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}
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trainer_state.json
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