{% extends "base.html" %} {% block title %}Training Run Visualization: {{ run }}{% endblock %} {% block head %} {% endblock %} {% block content %}

Training Run: {{ run }}

Command:

{% if eval_folders %}
{% endif %} {% if data %} {% for group, results in data.items() %}

{{ group }} ({% if selected_eval_folder and selected_eval_folder != "root" %}{{ selected_eval_folder }}{% else %}root{% endif %})

{% for metric, value in results.items() %} {% if value is mapping %} {% else %} {% endif %} {% endfor %}
Metric Value
{{ metric }} {% for submetric, subvalue in value.items() %} {% endfor %}
Sub-Metric Value
{{ submetric }} {{ subvalue }}
{{ value }}
{% endfor %} {% endif %}
{% if generated_data %} {% for split, data in generated_data.items() %} {% if data %}

Generated Text ({{ split }} - {% if selected_eval_folder and selected_eval_folder != "root" %}{{ selected_eval_folder }}{% else %}root{% endif %})

Input:

Modulated Model:

Base Model ({{ model_name }}): Not available

Base Model (No Context - {{ model_name }}): Not available

Label:

/ {{ data|length }}
{% endif %} {% endfor %} {% elif selected_eval_folder %}

No generated text data found in {% if selected_eval_folder and selected_eval_folder != "root" %}{{ selected_eval_folder }}{% else %}root{% endif %}.

{% endif %}

How to use this interface:

  1. First, click "Load Chat with {{ model_name }}" to initialize the base model
  2. You can then chat directly with the base model
  3. Alternatively, you can select a hypernetwork checkpoint to use context-informed responses
  4. To reset the conversation at any time, click the "Reset Chat" button
{% if checkpoints %} {% endif %}
{% endblock %}