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---
license: apache-2.0
datasets:
- custom-dataset
language:
- en
base_model:
- facebook/blenderbot-400M-distill
pipeline_tag: text-generation
library_name: transformers
tags:
- BlenderBot
- Conversational
- Fine-tuned
- Text Generation
metrics:
- name: BLEU
value: 0.1687
type: BLEU
- name: ROUGE
value:
rouge1: 0.4078
rouge2: 0.1912
rougeL: 0.3418
rougeLsum: 0.3401
type: ROUGE
model-index:
- name: TalkGPT
results:
- task:
type: text-generation
dataset:
name: custom-dataset
type: text
metrics:
- name: BLEU
value: 0.1687
type: BLEU
- name: ROUGE
value:
rouge1: 0.4078
rouge2: 0.1912
rougeL: 0.3418
rougeLsum: 0.3401
type: ROUGE
source:
name: Self-evaluated
url: https://huggingface.co/12sciencejnv/TalkGPT
---
# TalkGPT
This model is a fine-tuned version of **BlenderBot-400M** (distilled) based on a custom conversational dataset. It is designed to generate conversational responses in English.
## License
Apache 2.0
## Datasets
The model is fine-tuned on a custom dataset consisting of conversational dialogues.
## Language
English
## Metrics
- **BLEU**: 0.1687 (calculated on the validation set)
- **ROUGE-1**: 0.4078
- **ROUGE-2**: 0.1912
- **ROUGE-L**: 0.3418
- **ROUGE-Lsum**: 0.3401
- **Training Loss**: 0.2460 (final training loss after fine-tuning)
## Base Model
The model is based on the **BlenderBot-400M-distill** architecture by Facebook AI.
## Pipeline Tag
text-generation
## Library Name
transformers
## Tags
BlenderBot, Conversational, Fine-tuned, Text Generation
## Eval Results
The model achieved the following results on the validation set:
- **BLEU**: 0.1687
- **ROUGE-1**: 0.4078
- **ROUGE-2**: 0.1912
- **ROUGE-L**: 0.3418
- **ROUGE-Lsum**: 0.3401
- **Training Loss**: 0.2460 after 3 epochs of fine-tuning.
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