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} | # What does this PR do ?
Adds new feature to SDE, and transcribe speech
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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<div type='discussions-op-text'>
<sup>Originally posted by **rkrohit14092** September 27, 2022</sup>
How to add additional words in the dictionary of fastspeech2. I want to customize the dictionary as per my use case.
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[NeMo W 2022-09-27 17:45:38 optimizers:55] Apex was not found. Using the lamb or fused_adam optimizer will error out.
Traceback (most recent call last):
File "/home/henry/Pr... | {
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Fixes invalid link in notebook.
**Collection**: ASR
# Changelog
- Fix invalid ASR inference link.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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# What does this PR do ?
Updates some older libraries
**Collection**: [Core]
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Fix some bugs in export script.
**PR Type**:
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Following the instructions here, speech data explorer doesn't work out of the box because some dependencies aren't installed: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/tools/speech_data_explorer.html#getting-started
**Steps/Code to reproduce bug**
Start a new cond... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5007 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5007/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5007/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5007/events | https://github.com/NVIDIA/NeMo/issues/5007 | 1,385,818,280 | I_kwDOC_bI7s5Smeio | 5,007 | What is the key to the better ASR performance of the 1.6.0 version of the Conformer-Transducer-Large model? | {
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As said in [page](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_transducer_large), the 1.6.0 version of the Conformer-Transducer-Large model has much better word error rate performance on Librispeech than the version 1.4.0 (3.6/1.7 vs ... | {
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I saw the recently added speaker interpolation tutorial and decided to have a try.
Sometime ago I followed the `FastPitch_Finetuning.ipynb` tutorial and mixed a small dataset with a big dataset and did the finetuning with `n_speakers=2`. This model can be used to do speaker interpolat... | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Adds a test for Nested ASR model with detached state dict management.
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVID... | {
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} | null | null | null | Can you please tell me how to properly train a model with mixed precision?
I set to train with a model with such a config, but on validation I get NaN all the time.
Config:
```
name: "Conformer-CTC-BPE"
model:
sample_rate: &sample_rate 8000
log_prediction: false # enables logging sample predictions in th... | {
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Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
fix the bug of tokenizer below,
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In [16], line 1... | {
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} | Signed-off-by: Ondřej Vacek <ondrej.vacek@entry-cz.com>
# What does this PR do ?
- Fix filename extraction in vad_utils.py
- Old behavior makes vad_infer script unfunctional on windows since it assumed path separator is always "/"
Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
- Makes filename extraction os independent in vad_utils.py
- Old behavior makes vad_infer script unfunctional on windows since it assumed path separator is always "/"
**Collection**: [Note which collection this PR will affect]
- nemo.collections.asr.parts.utils.vad_utils
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} | # What does this PR do ?
Adds support for FastPitch speaker interpolation
**Collection**: [Note which collection this PR will affect]
TTS
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Adds speaker interpolation support to FastPitch
**Collection**: [Note which collection this PR will affect]
TTS
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
When optimising MSDD parameters, using `diarize` to obtain outputs made the most sense. Modified the code to return this.
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
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Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
fix the bug of tokenizer below,
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In [16], line 1... | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Bug fixes
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | Signed-off-by: Ryan <rlangman@nvidia.com>
# What does this PR do ?
Removing Phonemizer/eSpeak dependency.
**Collection**: [TTS]
# Changelog
- Remove PhonemizerTokenizer and associated code
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidel... | {
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# What does this PR do ?
Fixes a bug that causes decoding for enc-dec models with O2 to crash
**Collection**: [Note which collection this PR will affect]
# Changelog
- Change the module being inspected with O2 to determine forward args.
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# What does this PR do ?
Fixes a bug that causes decoding for enc-dec models with O2 to crash.
**Collection**: NLP
# Changelog
- Change the module being inspected to determine forward args.
# Usage
* You can potentially add a usage exa... | {
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Adds support for speaker interpolation in FastPitch
**Collection**: [Note which collection this PR will affect]
tts
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Adds support for conditioning all components of fastpitch on speaker embedding.
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
tts
# Changelog
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Refactor the text generation code to be model independent by using different inference strategies.
Added the GPT inference strategy and prompt learning inference strategy and verify they are working properly.
Implement the RETRIVAL service that can provides retrieval results on the fly... | {
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# What does this PR do ?
Bug fixes
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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Related #4972
We add a file to stop the failing CI run, but do not include Black until we find a way to resolve the difference in formatting.
# Changelog
- Add pre-commit ci file.
# Before your PR is "Ready for review"
**Pre checks**:
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"CUDA error: out of memory" was reported when training.
```bash
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
File <timed eval>:1, in <module>
File ~/miniconda3/envs/nemo/lib/python3.... | {
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Inference with the medium model specifically causes an error;
Works totally fine on the same audio file with the following models;
- stt_en_conformer_ctc_small_ls
- stt_... | {
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I try to train fastpitch with multispeaker dataset and got error like this:
```
[NeMo W 2022-09-22 14:36:06 optimizers:55] Apex was not found. Using the lamb or fused_adam optimizer will error out.
[NeMo W 2022-09-22 14:36:07 experimental:27] Module <class 'nemo.collections.tts.torch.tts_to... | {
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```
I was born in 3/7/1989.
```
which normalized to:
```
I was born in March seventh nineteen eighty nine.
```
The index of begin and end of the text part "3/7/1989" have the correspond... | null | {
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# What does this PR do ?
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**Collection**: [Note which collection this PR will affect]
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torch creates state dict of weight in weighted cross entropy and while restoring if weight is None, then it throws error.
Fixes by introducing weight with all ones.
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**Collection**:
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# What does this PR do ?
This PR adds Speaker Interpolation tutorial to tutorials/tts
**Collection**: [Note which collection this PR will affect]
None
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# What does this PR do ?
torch creates state dict of weight in weighted cross entropy and while restoring if weight is None, then it throws error.
Fixes by introducing weight with all ones.
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Automatically cherry-pick release commits to main when PR is merged.
**Collection**: Core
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Adds JoC optimization in binarize_attention_parallel, Aligner loss or ForwardSumLoss
**Collection**: [Note which collection this PR will affect]
TTS
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**Collection**: NLP
# Changelog
- Updated T5 prompt learning model class
- Updated base prompt learning model class
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} | # What does this PR do ?
We're seeing failures on main due to the the latest transformers version and our reliance on TRANSFORMERS_OFFLINE in the CI. Running the failed test locally reproduces the error:
```
HF_DATASETS_OFFLINE=1 TRANSFORMERS_OFFLINE=1 pytest tests/collections/nlp/test_prompt_learning.py::TestMe... | {
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Model fine-tuning is a set of techniques that makes fine adjustments to a pre-existing model using new data, so as to make it adapt to new situations while also retaining its original capabilities.
so I download this model:speechtotext_zh_cn_conformer.tlt and modidy the ev... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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if 'EncDecCTCModel' in str(type(asr_model)):
labels = asr_model.decoder.vocabulary
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} | …ion environment
Signed-off-by: Jin Li <liji@nvidia.com>
# What does this PR do ?
Import pycuda.autoprimaryctx or pycuda.autoinit to init pycuda execution environment to fix "invalid device context - no currently active context?" issue
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Adds support for Conditioning FastPitch model on Energy
**Collection**: [Note which collection this PR will affect]
nemo/collections/tts/
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# Usage
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: [Note which collection this PR will affect]
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* You can potentially add a usage example below
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} | # What does this PR do ?
This PR adds flag `--class_path` to checkpoint averaging script to allow explicit class path (e..g, `module.submodule.class`).
Example:
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NeMo/scripts/checkpoint_averaging/checkpoint_averaging.py \
--class_path nemo.collections.nlp.models.language_modeling.megatron_bert_model.Me... | {
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} | null | null | null | Hello everyone,
I'm looking to Text Normalization, Inverse Text Normalization to be more specific, and I saw something "weird".
For simples numbers, like "Um" (equivalent "one") returns "Um" instead "1", should this be normal?
The ITN normalize with some prefix or suffix, or can inverse normalize numbers in genera... | {
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} | null | null | null | **Describe the bug**
I'm building an ASR with Conformer Transducer with "beam" decoding strategy beam_size of 2 but when I inference some audio contains a repeat number (telephone, ID..) the ASR model is often missing the number.
For example:
one one one two two three three => one one two three
nine nine nine n... | {
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when I set lr = 0.025
the max_lr I see after warmup is 1 e -6, its not 0.025
so should we only use scheduler while training from scratch and not fine-tunin... | {
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} | # What does this PR do ?
This PR does the following:
1) Adds capability to condition decoder, pitch and duration predictor of FastPitch and Aligner on speaker embeddings.
2) Adds capability to condition aligner with any kind of embedding.
**Collection**: [Note which collection this PR will affect]
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} | null | null | null | I had a question and I was wondering if I could get a bit of help since I'm new to things here.
I noticed that the ASR models have been trained on 16k examples and expect a test example to be at the same sampling rate.
1. I have a higher sampling rate example eg. 24kHz and I downsample it to 16kHz and want to get t... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
it changes training config files structure to not depend on training or validation config setting
Revert back Radam instead of using pytorch implementation
unsorted lens in RADTTS Encoder
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} | # What does this PR do ?
1. Increase speed of rank candidates
2. Include support for p tuning for Megatron GPT
3. Include support for TP> 1 model (i.e. 5B Megatron GPT )
4. Update generate_candidate interface for Megatron GPT based on unified text generation method
5. Included custom collate_fn to remove excess ... | {
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} | # What does this PR do ?
- Makes GPT Prompt Learning Model class inherit from the base prompt learning model class, as a result:
1. Memory optimizations made for GPT prompt learning with large LMs are now also applied to T5
2. T5 pipeline parallel prompt learning is enabled
3. Future imp... | {
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} | # What does this PR do ?
Update docs link for `prompt_learning` tutorial
**Collection**: NLP
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary t... | {
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} | # What does this PR do ?
Add a primer document to our TTS tutorials covering general introductory material related on models and running them in NeMo.
**Collection**: TTS
# Changelog
- Add TTS Primer notebook
- Add images directory (similar to ASR tutorials)
**PR Type**:
- [x] New Feature
- [ ] Bugfi... | {
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Not only tutorial and docs, we need to ha
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`tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb`
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**Collection**: Core
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# Usage
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**Collection**: ASR
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While exporting grammar we are facing error while creating the docker image.
**Steps/Code to reproduce bug**
``` bash
cd tools/text_processing_deployment
bash export_grammars.sh --GRAMMARS=tn_grammars --LANGUAGE=en --INPUT_CASE=cased --FORCE_REBUILD=True --OVERWRITE_CACHE=True
```
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I'd like to be able to evaluate the performance of speech/audio classification models (in particular, VAD/SAD models) with different collars, using metrics such as are available in `md-eval.pl` in SCTK (used by Kaldi's SAD recipes) or PyAnnote metric... | {
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} | Add type checking before calling .split(). The old code will break if the input is a list of strings, which happens when using multiple manifests.
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} | # What does this PR do ?
When restarting training from a saved checkpoint during validation, validation is re-run as a first step (as the checkpoint was saved just before validation). This PR introduces a new loop injected via the `exp_manager` that skips validation if we're restarting.
There was also a mistake w... | {
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I am using google colab for using nemo, nemo supports python 3.8 but colab has python 3.7, I can succesfully install python 3.8 in colab and pip but when I try to install nemo, it gives me an error in the end that nemo got installed in legacy version becaue pip failed to build a wheel. After usi... | {
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} | # What does this PR do ?
This PR is to merge `r1.11.0` branch to the `main` branch. There were merge conflicts according to several updates in all domains. I fixed all conflicts. For some conflicts, I chose the `main` changes, while for other conflicts, I made a decision after reading detailed changes in both `r1.11... | {
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global_step │ 0.0 │
│ test_loss │ 7.94022274017334 │
│ test_wer │ 0.08155332505702972
but when I try running
jiwer.wer or
from nemo.collections.asr.metrics.... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
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The RTF for interference is greather than 2 on Intel CPUs.
**Steps/Code to reproduce bug**
The below code produces a 7 second audio (speech2.wav) after properly loading models and takes more than 14 seconds. For me its unclear how many cores are utilized and where to configure this.
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
- Adds support to train and test models with adoptive lookahead
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example belo... | {
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# What does this PR do ?
Fixes `ptl_load_state` calls not providing the class attribute.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Fix and refactor label models
**Collection**: ASR
# Changelog
- fix hanging issue happens in test after train in` speech_to_label.py `, `speaker_reco.py` and `speaker_reco_finetune`.py
- fix weighted cross entropy by disabling cal_label_occurences for val and test
- refactor loss i... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | null | null | null | Getting the following error : Early stopping conditioned on metric `val_loss` which is not available. Pass in or modify your `EarlyStopping` callback to use any of the following: ``
using nemo-toolkit['asr'] == 1.10.0
pytorch-lightning 1.7.3
torch 1.12.1
torchmetrics ... | {
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} | Signed-off-by: arendu <adithya.r@gmail.com>
# What does this PR do ?
- Adds adapter tuning support for t5 models
- Adds Infused Adapter (IA3) support for gpt and t5 models.
- Ensures that no test example is skipped due to max-length issues (a wrong answer is better than skipping)
**Collection**: [nlp]
# C... | {
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} | Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com>
# What does this PR do ?
Removes not used CV collection
**Collection**: cv
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation | {
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