nhi_heldout-speaker-exp_JJG503_mms-1b-nhi-adapterft

Browse files

Files changed (4) hide show

README.md +133 -196
adapter.nhi.safetensors +3 -0
model.safetensors +1 -1
runs/Jan22_21-54-50_x1001c1s0b0n0/events.out.tfevents.1737600933.x1001c1s0b0n0.75327.0 +2 -2

README.md CHANGED Viewed

@@ -1,199 +1,136 @@
 ---
-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: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- wer
+model-index:
+- name: nhi_heldout-speaker-exp_JJG503_mms-1b-nhi-adapterft
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.5099443118536198
 ---
+<!-- 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. -->
+# nhi_heldout-speaker-exp_JJG503_mms-1b-nhi-adapterft
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9551
+- Wer: 0.5099
+- Cer: 0.1636
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch   | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
+| 0.9259        | 1.6807  | 200   | 1.0631          | 0.7246 | 0.2364 |
+| 0.7325        | 3.3613  | 400   | 0.9573          | 0.6709 | 0.2154 |
+| 0.6496        | 5.0420  | 600   | 0.9066          | 0.6591 | 0.2078 |
+| 0.6303        | 6.7227  | 800   | 0.8995          | 0.6168 | 0.1959 |
+| 0.576         | 8.4034  | 1000  | 0.8594          | 0.6016 | 0.1945 |
+| 0.5455        | 10.0840 | 1200  | 0.7946          | 0.5847 | 0.1838 |
+| 0.5304        | 11.7647 | 1400  | 0.8018          | 0.5879 | 0.1833 |
+| 0.507         | 13.4454 | 1600  | 0.8205          | 0.5863 | 0.1883 |
+| 0.4872        | 15.1261 | 1800  | 0.8448          | 0.5805 | 0.1846 |
+| 0.4867        | 16.8067 | 2000  | 0.8381          | 0.5782 | 0.1834 |
+| 0.4449        | 18.4874 | 2200  | 0.7953          | 0.5819 | 0.1827 |
+| 0.4197        | 20.1681 | 2400  | 0.7872          | 0.5683 | 0.1796 |
+| 0.4286        | 21.8487 | 2600  | 0.7965          | 0.5479 | 0.1729 |
+| 0.4008        | 23.5294 | 2800  | 0.7981          | 0.5492 | 0.1729 |
+| 0.4076        | 25.2101 | 3000  | 0.7909          | 0.5505 | 0.1726 |
+| 0.3888        | 26.8908 | 3200  | 0.7650          | 0.5581 | 0.1754 |
+| 0.3583        | 28.5714 | 3400  | 0.7871          | 0.5387 | 0.1702 |
+| 0.3583        | 30.2521 | 3600  | 0.8008          | 0.5582 | 0.1722 |
+| 0.3613        | 31.9328 | 3800  | 0.8101          | 0.5522 | 0.1720 |
+| 0.3337        | 33.6134 | 4000  | 0.7855          | 0.5392 | 0.1667 |
+| 0.3377        | 35.2941 | 4200  | 0.8145          | 0.5377 | 0.1656 |
+| 0.3176        | 36.9748 | 4400  | 0.8048          | 0.5357 | 0.1679 |
+| 0.2971        | 38.6555 | 4600  | 0.8438          | 0.5390 | 0.1713 |
+| 0.3156        | 40.3361 | 4800  | 0.8106          | 0.5308 | 0.1688 |
+| 0.311         | 42.0168 | 5000  | 0.8293          | 0.5310 | 0.1699 |
+| 0.2884        | 43.6975 | 5200  | 0.8418          | 0.5367 | 0.1709 |
+| 0.2898        | 45.3782 | 5400  | 0.8149          | 0.5399 | 0.1715 |
+| 0.271         | 47.0588 | 5600  | 0.8387          | 0.5292 | 0.1650 |
+| 0.276         | 48.7395 | 5800  | 0.8732          | 0.5345 | 0.1677 |
+| 0.2625        | 50.4202 | 6000  | 0.8321          | 0.5310 | 0.1667 |
+| 0.2632        | 52.1008 | 6200  | 0.8382          | 0.5252 | 0.1645 |
+| 0.2462        | 53.7815 | 6400  | 0.8292          | 0.5270 | 0.1666 |
+| 0.249         | 55.4622 | 6600  | 0.8642          | 0.5308 | 0.1682 |
+| 0.2489        | 57.1429 | 6800  | 0.9214          | 0.5278 | 0.1692 |
+| 0.2445        | 58.8235 | 7000  | 0.8832          | 0.5326 | 0.1679 |
+| 0.2391        | 60.5042 | 7200  | 0.8951          | 0.5199 | 0.1678 |
+| 0.2294        | 62.1849 | 7400  | 0.8613          | 0.5209 | 0.1649 |
+| 0.2242        | 63.8655 | 7600  | 0.8602          | 0.5178 | 0.1650 |
+| 0.2271        | 65.5462 | 7800  | 0.8963          | 0.5224 | 0.1690 |
+| 0.217         | 67.2269 | 8000  | 0.8601          | 0.5171 | 0.1648 |
+| 0.2099        | 68.9076 | 8200  | 0.8603          | 0.5088 | 0.1640 |
+| 0.2097        | 70.5882 | 8400  | 0.8710          | 0.5166 | 0.1641 |
+| 0.2075        | 72.2689 | 8600  | 0.8921          | 0.5190 | 0.1637 |
+| 0.1994        | 73.9496 | 8800  | 0.8738          | 0.5070 | 0.1620 |
+| 0.1962        | 75.6303 | 9000  | 0.8713          | 0.5109 | 0.1629 |
+| 0.194         | 77.3109 | 9200  | 0.8724          | 0.5187 | 0.1634 |
+| 0.1864        | 78.9916 | 9400  | 0.9267          | 0.5227 | 0.1648 |
+| 0.187         | 80.6723 | 9600  | 0.9252          | 0.5146 | 0.1649 |
+| 0.1799        | 82.3529 | 9800  | 0.9085          | 0.5152 | 0.1642 |
+| 0.1868        | 84.0336 | 10000 | 0.9019          | 0.5139 | 0.1623 |
+| 0.1694        | 85.7143 | 10200 | 0.9344          | 0.5174 | 0.1646 |
+| 0.1754        | 87.3950 | 10400 | 0.9643          | 0.5121 | 0.1636 |
+| 0.1736        | 89.0756 | 10600 | 0.9524          | 0.5130 | 0.1645 |
+| 0.1652        | 90.7563 | 10800 | 0.9473          | 0.5138 | 0.1649 |
+| 0.1789        | 92.4370 | 11000 | 0.9439          | 0.5107 | 0.1635 |
+| 0.1659        | 94.1176 | 11200 | 0.9515          | 0.5146 | 0.1645 |
+| 0.1683        | 95.7983 | 11400 | 0.9558          | 0.5119 | 0.1631 |
+| 0.163         | 97.4790 | 11600 | 0.9587          | 0.5119 | 0.1637 |
+| 0.1596        | 99.1597 | 11800 | 0.9551          | 0.5099 | 0.1636 |
+### Framework versions
+- Transformers 4.41.2
+- Pytorch 2.4.0
+- Datasets 3.2.0
+- Tokenizers 0.19.1

adapter.nhi.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:00b89a97cac1d2cd4ca74e67cba969fe6980eb2fe56bdbd2224d4b3b66de5ad9
+size 8834400

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6963868e89f8b006240a0e8b856785074632a4402d72047b78ac4b68ea85e0ba
 size 3858926792

 version https://git-lfs.github.com/spec/v1
+oid sha256:b0f4540cd6febbd5b124a14993b3dc96a11b7b0802f2b2903a5a45748cddbd68
 size 3858926792

runs/Jan22_21-54-50_x1001c1s0b0n0/events.out.tfevents.1737600933.x1001c1s0b0n0.75327.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4245e62c5ba1801a3252c5c105c3b100186859e3c45f2d6f7b8744ca3e819b29
-size 52744

 version https://git-lfs.github.com/spec/v1
+oid sha256:150644d4ce5cfa493338a6a9f4c0037cabf14f051dc00b3e1546140ab3f89db7
+size 53309