gweltou
/

mHuBERT-147-br

@@ -1,199 +1,97 @@
 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-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).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 ---
+license: cc-by-nc-4.0
+base_model: utter-project/mHuBERT-147
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_15_0
+metrics:
+- wer
+model-index:
+- name: mHuBERT-147-br
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_15_0
+      type: common_voice_15_0
+      config: br
+      split: None
+      args: br
+    metrics:
+    - name: Wer
+      type: wer
+      value: 54.40414507772021
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# mHuBERT-147-br
+This model is a fine-tuned version of [utter-project/mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) on the common_voice_15_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7748
+- Wer: 54.4041
+- Cer: 18.4091
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 3.5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 40
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 6.9168        | 2.18  | 1000  | 3.4435          | 100.0   | 99.8848 |
+| 2.5187        | 4.36  | 2000  | 1.5458          | 84.7983 | 31.7071 |
+| 1.2569        | 6.54  | 3000  | 1.0204          | 75.0740 | 26.1506 |
+| 0.9322        | 8.71  | 4000  | 0.8765          | 69.9852 | 24.0654 |
+| 0.785         | 10.89 | 5000  | 0.8191          | 66.0252 | 22.4968 |
+| 0.6997        | 13.07 | 6000  | 0.8166          | 64.1007 | 21.8478 |
+| 0.6318        | 15.25 | 7000  | 0.7961          | 61.4730 | 20.9685 |
+| 0.5827        | 17.43 | 8000  | 0.7853          | 59.9926 | 20.2523 |
+| 0.5573        | 19.61 | 9000  | 0.7536          | 59.6873 | 20.0737 |
+| 0.5173        | 21.79 | 10000 | 0.7525          | 58.3364 | 19.6014 |
+| 0.4874        | 23.97 | 11000 | 0.7694          | 57.4759 | 19.4766 |
+| 0.4643        | 26.14 | 12000 | 0.7800          | 56.1158 | 19.0984 |
+| 0.4511        | 28.32 | 13000 | 0.7640          | 55.6255 | 18.7892 |
+| 0.4268        | 30.5  | 14000 | 0.7495          | 55.4404 | 18.6548 |
+| 0.423         | 32.68 | 15000 | 0.7641          | 55.0703 | 18.5281 |
+| 0.4166        | 34.86 | 16000 | 0.7730          | 54.8020 | 18.5377 |
+| 0.3968        | 37.04 | 17000 | 0.7658          | 54.4597 | 18.3995 |
+| 0.3958        | 39.22 | 18000 | 0.7748          | 54.4041 | 18.4091 |
+### Framework versions
+- Transformers 4.39.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Jun18_10-44-55_gweltaz-NUC10i7FNK/events.out.tfevents.1718700427.gweltaz-NUC10i7FNK.4761.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb6eb4be37811f8e458d39652d6127fdd4183bcc0c48a155480f3cb1dfa38a82
-size 15941

 version https://git-lfs.github.com/spec/v1
+oid sha256:7bdd508c01df3ecd11a02639bfcde78aba6ea1a29406ca0d072a5fb70b479d9f
+size 16301