model_name | LoRA r | dataset_size | quantized | learning_rate | final eval loss |
---|---|---|---|---|---|
SmolLM2-360M-Instruct | 4 | small | false | 0.0005 | 0.16702 |
SmolLM2-360M-Instruct | 4 | small | true | 0.0005 | 0.17071 |
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<!DOCTYPE html> | |
<html lang="pt-br"> | |
<head> | |
<title>Página Teste</title> | |
<meta charset="utf-8"> | |
</head> | |
<body> | |
<h1>Teste Git/Github</h1> | |
<h2>Branch</h2> | |
<p></p> |
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#region Copyright (c) 2024, Jack Leighton | |
// ///// __________________________________________________________________________________________________________________ | |
// ///// | |
// ///// __ __ __________ __ | |
// ///// _/ |_ ____ _______/ |_ __________\______ \_______ ____ ______ ____ _____/ |_ | |
// ///// \ __\/ __ \ / ___/\ __\/ __ \_ __ \ ___/\_ __ \_/ __ \ / ___// __ \ / \ __\ | |
// ///// | | \ ___/ \___ \ | | \ ___/| | \/ | | | \/\ ___/ \___ \\ ___/| | \ | | |
// ///// |__| \___ >____ > |__| \___ >__| |____| |__| \___ >____ >\___ >___| /__| | |
// ///// \/ \/ \/ \/ \/ \/ \/ | |
// ///// .__ .__ .__ __ |
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import 'dart:async'; | |
import 'package:flutter/material.dart'; | |
import 'package:flutter_application_1/padi.dart'; | |
Future<void> main() async { | |
runApp( | |
PadiWidget( | |
create: GlobalScope.new, | |
child: const MyApp(), |
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WARNING: Argument 'task' is not used in function-like macro | |
#66: FILE: arch/riscv/include/asm/usercfi.h:53: | |
+#define is_shstk_locked(task) false | |
WARNING: Argument 'task' is not used in function-like macro | |
#68: FILE: arch/riscv/include/asm/usercfi.h:55: | |
+#define is_shstk_allocated(task) false | |
WARNING: Argument 'task' is not used in function-like macro | |
#70: FILE: arch/riscv/include/asm/usercfi.h:57: |
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{ | |
"certified": false, | |
"deleted": false, | |
"docker_image_digest": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819", | |
"docker_image_id": "sha256:1bb613b74789e7e20fcc8d3fcab67c0662e538d2a707095eb7cb50bb20a13fab", | |
"image_id": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819", | |
"parsed_data": { | |
"architecture": "amd64", | |
"created": "2025-02-11 20:43:27.210578432 +0000 UTC", | |
"image_id": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819", |
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import { definePreset } from 'primevue/theming'; | |
export default definePreset({ | |
// Primitive color tokens | |
primitive: { | |
// Primary Bootstrap colors | |
blue: { | |
50: '#e3f2fd', | |
100: '#bbdefb', | |
200: '#90caf9', |
Parameter | Description |
---|---|
use_qlora | Whether to use QLoRA (4-bit quantization) for training. |
lora_r | LoRA rank controls how many parameters will be injected (4 , 8 , 16 ) |
model_name | Either SmolLM2-135M-Instruct or SSmolLM2-360M-Instruct . |
learning_rate | Learning rate values (1e-4 , 2e-4 , 4e-4 ). |
dataset_size | Control the amount of samples (small or medium ) |
max_steps | Number of training steps - fixed as 350 steps. |
gradient_checkpointing | Whether to enable gradient checkpointing - fixed as True to optimize resource usage |
tf32 & bf16 | Controls mixed precision - fixed as True to optimize resource usage |
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--- comp.zsh 2025-02-10 22:36:57 | |
+++ session_completion.zsh 2025-02-11 16:11:57 | |
@@ -2,6 +2,17 @@ | |
autoload -U is-at-least | |
+_zellij_sessions() { | |
+ local line sessions desc; sessions=("${(@f)$(zellij ls -n)}") | |
+ local -a session_names_with_desc | |
+ for line in "${sessions[@]}"; do |
model_name | LoRA r | dataset_size | quantized | learning_rate | final eval loss |
---|---|---|---|---|---|
SmolLM2-360M-Instruct | 4 | small | false | 0.0005 | 0.16702 |
SmolLM2-360M-Instruct | 8 | small | false | 0.0005 | 0.17016 |
SmolLM2-360M-Instruct | 4 | small | true | 0.0005 | 0.17071 |
SmolLM2-360M-Instruct | 8 | small | true | 0.0005 | 0.17121 |
SmolLM2-135M-Instruct | 4 | medium | false | 0.0005 | 0.17130 |
SmolLM2-360M-Instruct | 4 | small | true | 0.0002 | 0.17333 |
SmolLM2-360M-Instruct | 4 | small | false | 0.0002 | 0.17467 |
SmolLM2-360M-Instruct | 8 | small | false | 0.0002 | 0.18794 |