End of training
Browse files- README.md +62 -180
- config.json +82 -0
- model.safetensors +3 -0
- runs/Sep01_20-03-01_gweltaz-NUC10i7FNK/events.out.tfevents.1725213842.gweltaz-NUC10i7FNK.2237.0 +3 -0
- runs/Sep02_10-13-14_gweltaz-NUC10i7FNK/events.out.tfevents.1725264852.gweltaz-NUC10i7FNK.2653.0 +3 -0
- runs/Sep02_14-00-11_gweltaz-NUC10i7FNK/events.out.tfevents.1725278469.gweltaz-NUC10i7FNK.3681.0 +3 -0
- runs/Sep02_14-54-07_gweltaz-NUC10i7FNK/events.out.tfevents.1725281704.gweltaz-NUC10i7FNK.4125.0 +3 -0
- runs/Sep02_15-28-21_gweltaz-NUC10i7FNK/events.out.tfevents.1725283760.gweltaz-NUC10i7FNK.4366.0 +3 -0
- runs/Sep03_17-38-21_gweltaz-NUC10i7FNK/events.out.tfevents.1725377961.gweltaz-NUC10i7FNK.2612.0 +3 -0
- runs/Sep03_19-21-22_gweltaz-NUC10i7FNK/events.out.tfevents.1725384140.gweltaz-NUC10i7FNK.3445.0 +3 -0
- runs/Sep04_09-24-56_gweltaz-NUC10i7FNK/events.out.tfevents.1725434756.gweltaz-NUC10i7FNK.2421.0 +3 -0
- training_args.bin +3 -0
README.md
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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### Training Procedure
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#### Preprocessing [optional]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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## Evaluation
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#### Testing Data
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#### Factors
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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## Technical Specifications [optional]
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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license: mit
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base_model: facebook/w2v-bert-2.0
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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: w2v-bert-2.0-br
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results: []
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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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# w2v-bert-2.0-br
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6660
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- Wer: 42.4942
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- Cer: 13.6525
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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: 6e-05
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- train_batch_size: 4
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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: 8
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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: 0.08
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- lr_scheduler_warmup_steps: 500
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- training_steps: 8001
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 1.0369 | 0.58 | 500 | 1.2289 | 85.3288 | 32.8021 |
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| 0.7211 | 1.16 | 1000 | 0.9727 | 70.1973 | 24.6147 |
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| 0.5669 | 1.75 | 1500 | 0.8496 | 64.6176 | 21.7978 |
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| 0.4229 | 2.33 | 2000 | 0.7448 | 57.2663 | 19.3988 |
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| 0.4352 | 2.91 | 2500 | 0.6749 | 52.9790 | 17.4075 |
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| 0.3392 | 3.49 | 3000 | 0.6703 | 50.9678 | 16.8375 |
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| 0.2508 | 4.07 | 3500 | 0.6143 | 49.6249 | 16.2547 |
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| 0.2303 | 4.65 | 4000 | 0.7121 | 48.4648 | 15.8534 |
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| 0.1776 | 5.24 | 4500 | 0.6667 | 47.0777 | 15.2910 |
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| 0.1645 | 5.82 | 5000 | 0.6715 | 46.1825 | 14.8910 |
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| 0.1304 | 6.4 | 5500 | 0.7212 | 44.2784 | 14.5139 |
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| 0.1157 | 6.98 | 6000 | 0.6678 | 44.2721 | 14.3043 |
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| 0.0924 | 7.56 | 6500 | 0.6935 | 43.1310 | 13.9171 |
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| 0.0517 | 8.14 | 7000 | 0.6746 | 42.8851 | 13.7599 |
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| 0.0667 | 8.73 | 7500 | 0.6327 | 42.9733 | 13.8136 |
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| 0.0483 | 9.31 | 8000 | 0.6660 | 42.4942 | 13.6525 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "facebook/w2v-bert-2.0",
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"activation_dropout": 0.0,
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"adapter_act": "relu",
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": true,
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"apply_spec_augment": false,
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"architectures": [
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"Wav2Vec2BertForCTC"
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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": 768,
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"codevector_dim": 768,
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"conformer_conv_dropout": 0.1,
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"contrastive_logits_temperature": 0.1,
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"conv_depthwise_kernel_size": 31,
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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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"eos_token_id": 2,
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"feature_projection_input_dim": 160,
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"final_dropout": 0.1,
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"hidden_act": "swish",
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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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"left_max_position_embeddings": 64,
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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": 0.0,
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"max_source_positions": 5000,
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"model_type": "wav2vec2-bert",
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"num_adapter_layers": 1,
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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_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": 42,
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"position_embeddings_type": "relative_key",
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52 |
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