
# DailyChat-350M
A finetuned version of [Codegen-350M-nl](https://huggingface.co/Salesforce/Codegen-350M-nl) on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation. 

# Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2.

# Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised. 

# Intended Use
Dialog generation, chat agents.
{"language": ["en"], "license": "bsd-3-clause", "library_name": "transformers", "tags": ["chat", "dialog", "natural language", "codegen"], "datasets": ["daily_dialog"], "widget": [{"text": "Bot responds in friendly, longer messages.\n<Chat history>\n[User]: 'Hello!'\n[Bot]: 'Hi there! :D How are you?'\n[User]: 'Good, you?'\n[Bot]: '", "example_title": "Greeting chat"}], "co2_eq_emissions": {"emissions": 40, "source": "https://mlco2.github.io/impact/#compute", "training_type": "fine-tuning", "geographical_location": "Oregon, USA", "hardware_used": "1x NVIDIA P100, Kaggle"}}
transformers pytorch safetensors codegen text-generation chat dialog natural language en dataset:daily_dialog license:bsd-3-clause co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #codegen #text-generation #chat #dialog #natural language #en #dataset-daily_dialog #license-bsd-3-clause #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# DailyChat-350M
A finetuned version of Codegen-350M-nl on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation. 

# Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2.

# Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised. 

# Intended Use
Dialog generation, chat agents.
# DailyChat-350M
A finetuned version of Codegen-350M-nl on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation. # Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2. # Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised. # Intended Use
Dialog generation, chat agents.
TAGS
#transformers #pytorch #safetensors #codegen #text-generation #chat #dialog #natural language #en #dataset-daily_dialog #license-bsd-3-clause #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # DailyChat-350M
A finetuned version of Codegen-350M-nl on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation. # Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2. # Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised. # Intended Use
Dialog generation, chat agents.
TAGS
#transformers #pytorch #safetensors #codegen #text-generation #chat #dialog #natural language #en #dataset-daily_dialog #license-bsd-3-clause #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# DailyChat-350M
A finetuned version of Codegen-350M-nl on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation.# Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2.# Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised.# Intended Use
Dialog generation, chat agents.