From 1b80b44253022f93a0a7a6f663d742f1b16c4e0c Mon Sep 17 00:00:00 2001 From: Yosef Alemneh Date: Sun, 8 Aug 2021 05:29:25 +0300 Subject: [PATCH] mlflow parameter logging --- .gitignore | 2 +- .../Amharic_Speech_To_Text-checkpoint.ipynb | 823 ++++++++++++++++++ .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../meta.yaml | 15 + .../metrics/ctc_loss | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + notebooks/mlruns/0/meta.yaml | 4 + scripts/.gitignore | 1 + .../FeatureExtraction.cpython-37.pyc | Bin 3136 -> 3235 bytes 53 files changed, 1017 insertions(+), 1 deletion(-) create mode 100644 notebooks/.ipynb_checkpoints/Amharic_Speech_To_Text-checkpoint.ipynb create mode 100644 notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/meta.yaml create mode 100644 notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.user create mode 100644 notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/meta.yaml create mode 100644 notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.user create mode 100644 notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/meta.yaml create mode 100644 notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.user create mode 100644 notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/meta.yaml create mode 100644 notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.user create mode 100644 notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/meta.yaml create mode 100644 notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.user create mode 100644 notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/meta.yaml create mode 100644 notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.user create mode 100644 notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/meta.yaml create mode 100644 notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.user create mode 100644 notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/meta.yaml create mode 100644 notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.user create mode 100644 notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/meta.yaml create mode 100644 notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.user create mode 100644 notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/meta.yaml create mode 100644 notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/metrics/ctc_loss create mode 100644 notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.name create mode 100644 notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.type create mode 100644 notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.user create mode 100644 notebooks/mlruns/0/meta.yaml create mode 100644 scripts/.gitignore diff --git a/.gitignore b/.gitignore index 3af0ccb..8fce603 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1 @@ -/data +data/ diff --git a/notebooks/.ipynb_checkpoints/Amharic_Speech_To_Text-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/Amharic_Speech_To_Text-checkpoint.ipynb new file mode 100644 index 0000000..9afba80 --- /dev/null +++ b/notebooks/.ipynb_checkpoints/Amharic_Speech_To_Text-checkpoint.ipynb @@ -0,0 +1,823 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Imports**" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Bad key \"text.kerning_factor\" on line 4 in\n", + "C:\\Users\\HP\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test_patch.mplstyle.\n", + "You probably need to get an updated matplotlibrc file from\n", + "http://github.com/matplotlib/matplotlib/blob/master/matplotlibrc.template\n", + "or from the matplotlib source distribution\n" + ] + } + ], + "source": [ + "# setting path\n", + "\n", + "import sys\n", + "sys.path.append('../scripts')\n", + "from dataset_loader import load_audio_files, load_transcripts, load_spectrograms_with_transcripts\n", + "from resize_and_augment import resize_audios_mono, augment_audio, equalize_transcript_dimension\n", + "from FeatureExtraction import FeatureExtraction\n", + "from transcript_encoder import fit_label_encoder, encode_transcripts, decode_predicted\n", + "from models import model_1\n", + "sys.path.append('../notebooks')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import librosa #for audio processing\n", + "import librosa.display\n", + "import IPython.display as ipd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import warnings\n", + "import os\n", + "import mlflow\n", + "import mlflow.keras\n", + "import logging\n", + "len(os.listdir('../data/train/wav/'))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "sample_rate = 44100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Load Audio Files**" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "audio_files, maximum_length = load_audio_files('../data/train/wav/', sample_rate, True)\n", + "logging.info('loaded audio files')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The longest audio is 9.088004535147393 seconds long\n" + ] + } + ], + "source": [ + "print(\"The longest audio is\",maximum_length/sample_rate, 'seconds long')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Load Transcripts**" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "transcripts = load_transcripts(\"../data/train/trsTrain.txt\")\n", + "logging.info('loaded transcripts')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "400781" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "maximum_length" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Sample audio along with transcript**" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "demo_audio = list(audio_files.keys())[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ipd.Audio(audio_files[demo_audio], rate=sample_rate)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 5))\n", + "librosa.display.waveplot(audio_files[demo_audio], sr=sample_rate)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "' የ ጠመንጃ ተኩስ ተከፈተ ና አራት የኤርትራ ወታደሮች ተገደሉ'" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transcripts[demo_audio]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Resize Audios For Mono Channel**" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(400781,)\n" + ] + } + ], + "source": [ + "audio_files = resize_audios_mono(audio_files, maximum_length)\n", + "print(audio_files[demo_audio].shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Sample Padded Audio**" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ipd.Audio(audio_files[demo_audio], rate=sample_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Waveplot For Padded Audio**" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 5))\n", + "librosa.display.waveplot(audio_files[demo_audio], sr= sample_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Augment Audios**" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "audio_files = augment_audio(audio_files, sample_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Extract Features**" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "feature_extractor = FeatureExtraction()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "mfcc_features = feature_extractor.extract_features(audio_files, sample_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Plot MFCCs**" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(20, 783)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax = plt.Axes(fig, [0., 0., 1., 1.])\n", + "ax.set_axis_off()\n", + "fig.add_axes(ax)\n", + "mfccs = mfcc_features[demo_audio]\n", + "print(mfccs.shape)\n", + "librosa.display.specshow(mfccs, sr=sample_rate, x_axis='time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Plot Mel Spectrogram**" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "X = librosa.stft(audio_files[demo_audio])\n", + "Xdb = librosa.amplitude_to_db(abs(X))\n", + "plt.figure(figsize=(14, 5))\n", + "librosa.display.specshow(Xdb, sr=sample_rate, x_axis='time', y_axis='hz')\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Save MFCC Spectrogram Images**" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "feature_extractor.save_mfcc_spectrograms(mfcc_features, sample_rate, '../data/train/mfcc_spectros/')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ipd.Image(filename=f'../data/train/mfcc_spectros/{demo_audio}.png')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Fit Label Encoder with the Characters in the Transcripts**" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "char_encoder = fit_label_encoder(transcripts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Encode the Characters in the Transcripts**" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "transcripts_encoded = encode_transcripts(transcripts, char_encoder)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Prepare Training Set**" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((3, 400, 600, 4), 3)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train, y_train = load_spectrograms_with_transcripts(mfcc_features, \n", + " transcripts_encoded,\n", + " '../data/train/mfcc_spectros/')\n", + "X_train.shape, len(y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Pad transcripts with spaces**" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "maximum number of characters in a transcript: 74\n" + ] + } + ], + "source": [ + "y_train = equalize_transcript_dimension(y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **Deep Learning Model**" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2.2.0'" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import tensorflow as tf\n", + "tf.__version__" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"ocr_model_v1\"\n", + "__________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + "image (InputLayer) [(None, 400, 600, 4) 0 \n", + "__________________________________________________________________________________________________\n", + "Conv1 (Conv2D) (None, 400, 600, 32) 1184 image[0][0] \n", + "__________________________________________________________________________________________________\n", + "pool1 (MaxPooling2D) (None, 200, 300, 32) 0 Conv1[0][0] \n", + "__________________________________________________________________________________________________\n", + "reshape (Reshape) (None, 200, 9600) 0 pool1[0][0] \n", + "__________________________________________________________________________________________________\n", + "dense1 (Dense) (None, 200, 64) 614464 reshape[0][0] \n", + "__________________________________________________________________________________________________\n", + "dropout (Dropout) (None, 200, 64) 0 dense1[0][0] \n", + "__________________________________________________________________________________________________\n", + "bidirectional (Bidirectional) (None, 200, 256) 197632 dropout[0][0] \n", + "__________________________________________________________________________________________________\n", + "bidirectional_1 (Bidirectional) (None, 200, 128) 164352 bidirectional[0][0] \n", + "__________________________________________________________________________________________________\n", + "label (InputLayer) [(None, None)] 0 \n", + "__________________________________________________________________________________________________\n", + "dense2 (Dense) (None, 200, 223) 28767 bidirectional_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "ctc_loss (CTCLayer) (None, 200, 223) 0 label[0][0] \n", + "==================================================================================================\n", + "Total params: 1,006,399\n", + "Trainable params: 1,006,399\n", + "Non-trainable params: 0\n", + "__________________________________________________________________________________________________\n" + ] + } + ], + "source": [ + "model = model_1(char_encoder)\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Train Model**" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "3/3 [==============================] - 2s 647ms/step - loss: 10.5177\n", + "Epoch 2/10\n", + "3/3 [==============================] - 2s 654ms/step - loss: 10.2124\n", + "Epoch 3/10\n", + "3/3 [==============================] - 2s 645ms/step - loss: 9.8826\n", + "Epoch 4/10\n", + "3/3 [==============================] - 2s 672ms/step - loss: 9.9841\n", + "Epoch 5/10\n", + "3/3 [==============================] - 2s 640ms/step - loss: 9.8689\n", + "Epoch 6/10\n", + "3/3 [==============================] - 2s 637ms/step - loss: 9.6798\n", + "Epoch 7/10\n", + "3/3 [==============================] - 2s 589ms/step - loss: 9.6779\n", + "Epoch 8/10\n", + "3/3 [==============================] - 1s 411ms/step - loss: 9.6688\n", + "Epoch 9/10\n", + "3/3 [==============================] - 1s 313ms/step - loss: 9.6123\n", + "Epoch 10/10\n", + "3/3 [==============================] - 1s 311ms/step - loss: 9.3236\n" + ] + } + ], + "source": [ + "history = model.fit([X_train, np.array(y_train)], batch_size = 1, epochs = 10)\n", + "with mlflow.start_run() as run:\n", + " mlflow.log_metric(\"ctc_loss\", history.history['loss'][-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pridicted: የ ጠመን ተከፈተ ና አ\n", + "actual: የ ጠመንጃ ተኩስ ተከፈተ ና አ\n" + ] + } + ], + "source": [ + "predicted = model.predict([X_train[:2],y_train[1:3]])\n", + "predicted_trans = decode_predicted(predicted, char_encoder)\n", + "real_trans = [''.join(char_encoder.inverse_transform(y)) for y in y_train]\n", + "print(\"pridicted:\",predicted_trans[1])\n", + "print(\"actual:\",real_trans[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/meta.yaml b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/meta.yaml new file mode 100644 index 0000000..5c9e918 --- /dev/null +++ b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/artifacts +end_time: 1628386596867 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 135adce6eccf4914828f2b74d9f3f9a1 +run_uuid: 135adce6eccf4914828f2b74d9f3f9a1 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628386596789 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/metrics/ctc_loss b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/metrics/ctc_loss new file mode 100644 index 0000000..0615ce4 --- /dev/null +++ b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/metrics/ctc_loss @@ -0,0 +1 @@ +1628386596864 17.531429290771484 0 diff --git a/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.name b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.type b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.user b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/135adce6eccf4914828f2b74d9f3f9a1/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/meta.yaml b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/meta.yaml new file mode 100644 index 0000000..b6a50b5 --- /dev/null +++ b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/artifacts +end_time: 1628383852112 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 27b953f4e24f4d7b859a6ea39d434997 +run_uuid: 27b953f4e24f4d7b859a6ea39d434997 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628383851398 +status: 4 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.name b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.type b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.user b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/27b953f4e24f4d7b859a6ea39d434997/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/meta.yaml b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/meta.yaml new file mode 100644 index 0000000..2550e95 --- /dev/null +++ b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/artifacts +end_time: 1628387236792 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 2f4eac0c16be44bf845c9b8ac0c6e4b1 +run_uuid: 2f4eac0c16be44bf845c9b8ac0c6e4b1 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628387236683 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/metrics/ctc_loss b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/metrics/ctc_loss new file mode 100644 index 0000000..06de321 --- /dev/null +++ b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/metrics/ctc_loss @@ -0,0 +1 @@ +1628387236789 9.323555946350098 0 diff --git a/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.name b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.type b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.user b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/2f4eac0c16be44bf845c9b8ac0c6e4b1/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/meta.yaml b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/meta.yaml new file mode 100644 index 0000000..76816b1 --- /dev/null +++ b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/artifacts +end_time: 1628385821276 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 30683cc6a0394bb9b474f766e49aec65 +run_uuid: 30683cc6a0394bb9b474f766e49aec65 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628385820280 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/metrics/ctc_loss b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/metrics/ctc_loss new file mode 100644 index 0000000..f4f1779 --- /dev/null +++ b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/metrics/ctc_loss @@ -0,0 +1 @@ +1628385821268 74.62281036376953 0 diff --git a/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.name b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.type b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.user b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/30683cc6a0394bb9b474f766e49aec65/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/meta.yaml b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/meta.yaml new file mode 100644 index 0000000..a096034 --- /dev/null +++ b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/artifacts +end_time: 1628386005574 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 88ed94ae85814a1692f24f83e35bd90b +run_uuid: 88ed94ae85814a1692f24f83e35bd90b +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628386005355 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/metrics/ctc_loss b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/metrics/ctc_loss new file mode 100644 index 0000000..ac3d08e --- /dev/null +++ b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/metrics/ctc_loss @@ -0,0 +1 @@ +1628386005570 59.76906967163086 0 diff --git a/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.name b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.type b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.user b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/88ed94ae85814a1692f24f83e35bd90b/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/meta.yaml b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/meta.yaml new file mode 100644 index 0000000..f991253 --- /dev/null +++ b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/artifacts +end_time: 1628384070993 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 95b75bceb8f541c29345988730de753f +run_uuid: 95b75bceb8f541c29345988730de753f +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628384070890 +status: 4 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.name b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.type b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.user b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/95b75bceb8f541c29345988730de753f/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/meta.yaml b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/meta.yaml new file mode 100644 index 0000000..aec566a --- /dev/null +++ b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/artifacts +end_time: 1628386815757 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: 9ce16af2115c4b2cbaff4f21788d6ef3 +run_uuid: 9ce16af2115c4b2cbaff4f21788d6ef3 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628386815714 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/metrics/ctc_loss b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/metrics/ctc_loss new file mode 100644 index 0000000..32b7be2 --- /dev/null +++ b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/metrics/ctc_loss @@ -0,0 +1 @@ +1628386815754 10.317455291748047 0 diff --git a/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.name b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.type b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.user b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/9ce16af2115c4b2cbaff4f21788d6ef3/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/meta.yaml b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/meta.yaml new file mode 100644 index 0000000..4a83578 --- /dev/null +++ b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/artifacts +end_time: 1628386420464 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: c69538b4065b4b1e8b5ae91902a2caa0 +run_uuid: c69538b4065b4b1e8b5ae91902a2caa0 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628386420429 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/metrics/ctc_loss b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/metrics/ctc_loss new file mode 100644 index 0000000..05fc88d --- /dev/null +++ b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/metrics/ctc_loss @@ -0,0 +1 @@ +1628386420462 27.651208877563477 0 diff --git a/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.name b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.type b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.user b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/c69538b4065b4b1e8b5ae91902a2caa0/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/meta.yaml b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/meta.yaml new file mode 100644 index 0000000..8136c62 --- /dev/null +++ b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/artifacts +end_time: 1628385760237 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: dded807adef14837903c5a313527d0b4 +run_uuid: dded807adef14837903c5a313527d0b4 +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628385760039 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/metrics/ctc_loss b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/metrics/ctc_loss new file mode 100644 index 0000000..ba135f6 --- /dev/null +++ b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/metrics/ctc_loss @@ -0,0 +1 @@ +1628385760224 868.6803588867188 0 diff --git a/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.name b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.type b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.user b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/dded807adef14837903c5a313527d0b4/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/meta.yaml b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/meta.yaml new file mode 100644 index 0000000..e50891e --- /dev/null +++ b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/meta.yaml @@ -0,0 +1,15 @@ +artifact_uri: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/artifacts +end_time: 1628386258952 +entry_point_name: '' +experiment_id: '0' +lifecycle_stage: active +name: '' +run_id: e404b7d8846545ec8760c3abff46128e +run_uuid: e404b7d8846545ec8760c3abff46128e +source_name: '' +source_type: 4 +source_version: '' +start_time: 1628386258779 +status: 3 +tags: [] +user_id: HP diff --git a/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/metrics/ctc_loss b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/metrics/ctc_loss new file mode 100644 index 0000000..8bbbfbc --- /dev/null +++ b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/metrics/ctc_loss @@ -0,0 +1 @@ +1628386258951 49.20677185058594 0 diff --git a/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.name b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.name new file mode 100644 index 0000000..7fd1aa2 --- /dev/null +++ b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.name @@ -0,0 +1 @@ +C:\Users\HP\Anaconda3\lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.type b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.type new file mode 100644 index 0000000..0c2c1fe --- /dev/null +++ b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.user b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.user new file mode 100644 index 0000000..ef6b35d --- /dev/null +++ b/notebooks/mlruns/0/e404b7d8846545ec8760c3abff46128e/tags/mlflow.user @@ -0,0 +1 @@ +HP \ No newline at end of file diff --git a/notebooks/mlruns/0/meta.yaml b/notebooks/mlruns/0/meta.yaml new file mode 100644 index 0000000..c26ccd4 --- /dev/null +++ b/notebooks/mlruns/0/meta.yaml @@ -0,0 +1,4 @@ +artifact_location: file:///C:/Users/HP/Desktop/10academy/Week-4/AmharicSTT/notebooks/mlruns/0 +experiment_id: '0' +lifecycle_stage: active +name: Default diff --git a/scripts/.gitignore b/scripts/.gitignore new file mode 100644 index 0000000..c18dd8d --- /dev/null +++ b/scripts/.gitignore @@ -0,0 +1 @@ +__pycache__/ diff --git a/scripts/__pycache__/FeatureExtraction.cpython-37.pyc b/scripts/__pycache__/FeatureExtraction.cpython-37.pyc index d1fd522ba818db6b29fbcf97566cf4f29b72b908..84098f9f7ccc7d8cfcf5c8b5ac068fe7654b05a1 100644 GIT binary patch delta 743 zcmYLGJ8#oa6uvJ%V#k3LXqtc^Ed{AU3W$LPL<= zMmiLaP$>};3j(q*@*`lm5)%XBPXPDk0Y~z8p8me$<1Z_3^Ui(8v4AxDcgFpG?BsV# zGNFLN0F-AQ&OK`3GJ#+lP(<+yK=C0eYZN{N8|0T_*r_U9m?ncQ`S6>^2gMZebdON- zhJ1YW16#tVd2ZBYo=AoyR}fCCR;^a%H7+!_Oa1U2VA$))Am6xYcZ4fI$a8DjuJtc}cA zA43SDRMTqOF^owb#E25A9bpLi7b4P3$2cah0o6}X4p4)dM+kyF&|W7Xat8zg;gf zH}Z9v5luMHRQ_^GaB& z3Dc!iW*%p@yo)fX&pUzJFPpsMRe2+PCX%n#z%{=vklSNf zRhq(5vTC2VFUp)N0L#g?-5Z`!{k(!J3jUAJ-cdCqLH#JMG)%a(GOcXr)8)#i0)L-{ x+%3(Q6xo&=sZW#jQm3yXq0c-kEa?8}tS^?69bw*Sg|r)ZccD_#r)nllqrW})0BR!n$}bR}{Nfjv*vK+fdc>Pvw5}{9 zE;9rpDbx(=HB|k*_h(_d{Vpae@aR>CMZ9kf;34hsj)itA=D0krFIkljXvd1JetG}| zV&1o7Yd{D@nYvTY#w2D1kX%|a)nx>><|1Ct#WZGbK&JQTEJ#~sx|F~wY@Fc`xsM(7 znIID~EV4~@Z$?a*QBTgUg3RHqxvgC`yiF(>o=d+ZNzt*BFLrTw zDsziiwUv(mN!6JrBH4A8ZwS^5B4O*+S~CbEE%=qTuSHJ#QORr9bSbPsj#ZNhMvQmK8XM`$%|}zdkQTzV<2zfh~$t-QB0U8)8=Q`WI8{NEVBJ=CxhCW c3bl9sVC!-6e>@}mQX`bDz`sn6$f!;J0zNgMs{jB1