I’m trying to do a finetuning without an evaluation dataset. For that, I’m using the following code: training_args = TrainingArguments( output_dir=resume_from_checkpoint, evaluation_strategy=&quo...

I am using a quite large GPU which is around 80 GB. The training epochs runs fine but for some reason when evaluating (the training set and validation sets have the same length more or less), I am ...

I'm using the following code to load an imagenet pre-trained VGG19 model and fit to my custom dataset. from keras.applications.vgg19 import VGG19 optim = tf.keras.optimizers.RMSprop(momentum=0.9)...

I am referring to the models that can be found here: https://pytorch.org/docs/stable/torchvision/models.html#torchvision-models

Given a simple neural net in Pytorch like: import torch.nn as nn net = nn.Sequential( nn.Linear(3, 4), nn.Sigmoid(), nn.Linear(4, 1), nn.Sigmoid() ).to(device) How do I convert it into a Hug...

I have some custom data I want to use to further pre-train the BERT model. I’ve tried the two following approaches so far: Starting with a pre-trained BERT checkpoint and continuing the pre-traini...

I am new to pyTorch and I am trying to Create a Classifier where I have around 10 kinds of Images Folder Dataset, for this task I am using Pretrained model( MobileNet_v2 ) but the problem is I am n...

I just saved a model, by that code: def train(): with tf.Session() as sess: saver = tf.train.Saver(max_to_keep = 2) Loss = myYoloLoss([Scale1,Scale2,Scale3],[Y1, Y2 ,Y3]) opt = tf.train.AdamOp...

"Obviously!", you might say... But there's one significant difference that I have trouble explaining by the difference in random initialization. Take the two pre-trained basenets (before ...

I would like to pre-train a model and then train it with another model. I have model Decision Tree Classifer and then I would like to train it further with model LGBM Classifier. Is there a possibi...

Code import numpy as np from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential,Model from keras.layers import Dropout, Flatten, Dense,Input from keras import ...

I have downloaded a pre-trained model on ImageNet of Inception v3 from http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz (found this link while following one of the tuto...

I have found the VGG16 network pre-trained on the (color) imagenet database (as .npy). Is there a VGG16 network pre-trained on a gray-scale version of the imagenet database available? (The usual ...

I am working with Keras and trying to analyze the effects on accuracy that models which are built with some layers with meaningful weights, and some layers with random initializations. Keras: I loa...

So I have few words without labels but I need to classify them into 4-5 categories. I can visibly say that this test set can be classified. Although I do not have training data so I need to use a p...

I am trying to implement a classification head for the reformer transformer. The classification head works fine, but when I try to change one of the config parameters- config.axial_pos_shape i.e se...

I've two networks, which I need to concatenate for my full model. However my first model is pre-trained and I need to make it non-trainable when training the full model. How can I achieve this in P...

Thanks to Google for providing a few pre-trained models with tensorflow API. I would like to know how to retrain a pre-trained model available from the above repository, by adding new classes...

Are there any latest pre-trained multilingual word embeddings (multiple languages are jointly mapped to a same vector space)? I have looked at the following but they don't fit my needs: FastText...

I am following instructions for TensorFlow Retraining for Poets. GPU utilization seemed low so I instrumented the retrain.py script per the instructions in Using GPU. The log verifies that the TF g...

I use Keras pretrained model VGG16. The problem is that after configuring tensorflow to use the GPU I get an error that I didn't have before when using the CPU. The error is the following one: T...

I'm trying to get a pytorch model running on a sentence classification task. As I am working with medical notes I am using ClinicalBert (https://github.com/kexinhuang12345/clinicalBERT) and would l...

I am using VGG16 with keras for transfer learning (I have 7 classes in my new model) and as such I want to use the build-in decode_predictions method to output the predictions of my model. However,...

I want to train a model in a sequential manner. That is I want to train the model initially with a simple architecture and once it is trained, I want to add a couple of layers and continue training...

The tensorflow_hub library maintainers has made it every easy for users to download and use the pre-trained tensorflow modules, e.g.: import tensorflow_hub as hub embed = hub.Module("https://tfhu...